# Tolstoy for Fashion ecommerce URL: https://www.gotolstoy.com/industries/fashion Summary: Create fashion product images, short-form video, and shoppable storefront experiences with Tolstoy AI Studio, AI Player, and AI Sales Agent. Tolstoy connects content production and storefront video for apparel, footwear, and accessories teams. AI Studio creates campaign and product creative from product inputs; AI Player brings shoppable video to collection pages and PDPs; AI Sales Agent helps visitors explore products through visual discovery and guided questions. Common jobs: - Show the product on a person: Create on-model and creator-style visuals from approved product references, then review details such as seams, drape, color, and silhouette before publishing. - Refresh creative between launches: Produce paid-social variants, styling clips, and editorial scenes while the next campaign shoot is still being planned. - Bring social proof onto the storefront: Place shoppable try-ons, customer clips, and product explainers on collection pages and PDPs where they can answer purchase questions. Products: - AI Studio: Build a fashion content system. Create reviewable on-model images, campaign scenes, and product-photo variants from a reusable set of product and brand inputs. - AI Player: Merchandise video where people shop. Publish swipeable, shoppable video to homepages, collections, and PDPs, then compare placements and content formats. - AI Sales Agent: Guide visual product discovery. Help shoppers browse assortments, ask product questions, and visualize styles. Treat try-on output as visualization, not a sizing or fit guarantee. FAQs: Q: What can fashion brands create with Tolstoy? A: Fashion teams use Tolstoy to create on-model product images, short-form product videos, creator-style ads, campaign scenes, and shoppable storefront video. Each output should still pass the brand’s normal review for product detail and accuracy. Q: Can Tolstoy turn a flat-lay into an on-model fashion image? A: AI Studio includes workflows for creating on-model visualizations from product references. The result is creative visualization: teams should check construction, color, logos, drape, and other product details before using it. Q: Does Tolstoy predict apparel size or fit? A: No claim is made here that Tolstoy predicts a shopper’s size or guarantees fit. AI Sales Agent can support product discovery and visual try-on, while the merchant remains responsible for accurate sizing guidance and product information. Q: Where can fashion brands place shoppable video? A: AI Player supports video experiences across homepages, collection pages, product pages, landing pages, and other storefront touchpoints. Merchants choose the videos, product associations, and placements. --- # Tolstoy for Beauty ecommerce URL: https://www.gotolstoy.com/industries/beauty Summary: Create beauty product images, demos, UGC-style video, and shoppable PDP stories with Tolstoy AI Studio, AI Player, and AI Sales Agent. Tolstoy gives beauty, skincare, cosmetics, and wellness teams one system for product creative and storefront video. Teams can develop visual concepts in AI Studio, publish approved tutorials and testimonials with AI Player, and use AI Sales Agent for guided product exploration. Common jobs: - Demonstrate texture and application: Create close-ups, swatches, routine steps, and product-in-use visuals that make a small package or subtle finish easier to understand. - Produce more creative angles: Turn a product and an approved brand direction into seasonal scenes, product heroes, creator-style ads, and tutorial concepts. - Answer PDP questions with video: Use shoppable demos, expert guidance, and customer content to explain usage and help people compare products. Products: - AI Studio: Create beauty visuals at product-detail scale. Develop studio scenes, ingredient-led compositions, swatches, demos, and UGC-style concepts from product inputs. - AI Player: Put routines and proof on the PDP. Publish approved demonstrations, testimonials, and shoppable stories next to the product they explain. - AI Sales Agent: Help shoppers explore the catalog. Guide product discovery and visual exploration while keeping ingredient, shade, and suitability claims grounded in merchant-provided data. FAQs: Q: What beauty content can Tolstoy create? A: Beauty teams can use AI Studio for product heroes, ingredient-led scenes, swatch concepts, application visuals, short-form video, and creator-style content. Product, shade, and ingredient accuracy should be reviewed before publication. Q: Can beauty brands use existing UGC on product pages? A: Yes. AI Player can publish approved UGC, tutorials, testimonials, and other product videos in shoppable storefront formats. The merchant controls the content, placement, and product association. Q: Can Tolstoy guarantee an exact cosmetic shade match? A: No exact shade-match guarantee is made here. Generated try-on and swatch outputs are visualizations, and lighting and screens can change how color appears. Brands should provide clear product information and review every asset. Q: How should beauty teams start? A: Start with one repeatable job: a PDP swatch set, a weekly paid-social format, or a shoppable product-demo block. Define required product details and approval criteria, then expand after the workflow is reliable. --- # Tolstoy for Jewelry ecommerce URL: https://www.gotolstoy.com/industries/jewelry Summary: Create jewelry product scenes, macro visuals, creator-style video, and shoppable storefront stories with Tolstoy AI Studio and AI Player. Tolstoy helps jewelry teams create and distribute product content across campaigns, social channels, and storefronts. AI Studio supports product and worn-jewelry visual workflows, while AI Player turns approved product stories and creator videos into shoppable experiences. Common jobs: - Create scale and styling context: Develop worn-product and close-up concepts that help a buyer understand how a piece sits, layers, and catches light. - Refresh launches without losing detail: Build seasonal scenes, golden-hour concepts, and creator-style variants while keeping a strict review step for clasps, settings, stones, and proportions. - Connect video to the exact item: Publish product stories, unboxings, and styling clips with direct product associations on collections and PDPs. Products: - AI Studio: Develop jewelry campaign and PDP creative. Create profile shots, macro concepts, worn-product scenes, and social variants from approved product references. - AI Player: Make styling content shoppable. Connect unboxings, layering guides, and creator clips to the featured necklaces, rings, earrings, or bracelets. FAQs: Q: What jewelry content can Tolstoy create? A: Jewelry teams can use AI Studio for product profiles, macro concepts, worn-product scenes, campaign images, and short-form creative. AI Player can publish approved unboxings, styling guides, and product videos in shoppable formats. Q: How should jewelry brands review AI-generated assets? A: Compare every output with the source product. Check stone count and setting, chain and clasp placement, scale, metal color, engraving, reflections, and how the item sits on the body before approval. Q: Can a jewelry video link directly to a product? A: Yes. AI Player lets merchants associate featured products with video and publish shoppable experiences on storefront pages. The merchant controls the product mapping and placement. Q: What is a practical first workflow for a jewelry brand? A: Start with one tightly reviewed use case, such as profile images for earrings, macro views of a ring, or a shoppable styling video. Define the product details that must remain exact before expanding the workflow. --- # Tolstoy for Food and beverage ecommerce URL: https://www.gotolstoy.com/industries/food-beverage Summary: Create food and beverage product scenes, recipe video, creator-style ads, and shoppable storefront stories with Tolstoy AI Studio and AI Player. Tolstoy helps food, beverage, supplement, and wellness brands develop visual content and bring approved video into the shopping journey. AI Studio supports product scenes and short-form concepts; AI Player connects demos, recipes, founder stories, and UGC to products on the storefront. Common jobs: - Show the consumption moment: Create kitchen, routine, pour, preparation, and serving concepts that put packaging into a recognizable use case. - Explain a product quickly: Turn preparation steps, product education, or a founder story into concise video that can live on social and the storefront. - Keep campaign creative moving: Develop seasonal backdrops, recipe angles, creator-style ads, and product scenes without relying on one hero shoot. Products: - AI Studio: Create product, recipe, and routine concepts. Generate kitchen scenes, ingredient-led images, product videos, and creator-style ads from a reviewed product brief. - AI Player: Make education and storytelling shoppable. Publish recipes, demonstrations, founder stories, and product UGC alongside the featured item. FAQs: Q: What food and beverage content can Tolstoy create? A: Teams can use AI Studio for packaging scenes, kitchen moments, recipe concepts, product videos, and creator-style ads. AI Player can publish approved demonstrations, founder stories, and UGC in shoppable formats. Q: Can Tolstoy make recipe or preparation videos shoppable? A: Yes. A merchant can associate products with approved recipe, serving, or preparation videos in AI Player and place those experiences on relevant storefront pages. Q: How should brands handle nutrition or health claims? A: Use only the brand’s approved product information and claim-review process. Generated content should not invent ingredient, nutrition, health, taste, or performance claims. Q: What is a practical first workflow? A: Choose one repeatable moment, such as a pour, preparation step, taste-test format, or founder explanation. Define the required pack accuracy and approved language before generating variations. --- # Tolstoy for Home ecommerce URL: https://www.gotolstoy.com/industries/home Summary: Create home and furniture lifestyle scenes, product video, creator-style content, and shoppable storefront stories with Tolstoy. Tolstoy helps home, furniture, decor, cookware, and household brands create product context and distribute video across the storefront. AI Studio supports lifestyle and product creative; AI Player adds shoppable demos, room tours, founder stories, and UGC to ecommerce pages. Common jobs: - Place the product in a believable space: Create room and lifestyle concepts that show design direction and scale context, then review proportions and product details against source images. - Explain setup, use, or transformation: Use assembly, unboxing, styling, and before-and-after formats to make higher-consideration products easier to understand. - Reuse the best product video on-site: Connect room tours, demos, founder explanations, and creator content to the products shown in each video. Products: - AI Studio: Develop product and room-scene creative. Create lifestyle images, product videos, seasonal scenes, and social variants from approved references. - AI Player: Put demonstrations into the buying journey. Publish room tours, setup clips, product explanations, and UGC in shoppable storefront formats. FAQs: Q: What home and furniture content can Tolstoy create? A: Home teams can use AI Studio for lifestyle scenes, product videos, seasonal compositions, and creator-style concepts. AI Player can publish approved room tours, assembly clips, demos, and customer content in shoppable formats. Q: Can Tolstoy place a furniture product in a room scene? A: AI Studio supports lifestyle-scene workflows from product references. The output is a visualization, so teams should verify product shape, materials, color, proportions, and any functional details before use. Q: Does a generated room scene guarantee accurate scale? A: No. A generated scene should not replace verified dimensions, specifications, or fit-in-room guidance. Merchants should keep factual product data visible and review every visualization. Q: Where can home brands use shoppable video? A: AI Player can place approved video on homepages, collection pages, PDPs, and other storefront touchpoints. Each video can be associated with the products it features. --- # Compare Tolstoy URL: https://www.gotolstoy.com/compare Summary: Outcome-based comparisons of Tolstoy with ecommerce AI, video commerce, shopping agent, and creative automation tools. Shopify category guides: - Shopify video apps compared: https://www.gotolstoy.com/compare/shopify-video-apps — Compare Shopify video apps by job: PDP widget, media library, live selling, or create-to-commerce platform. - Shopify shoppable video compared: https://www.gotolstoy.com/compare/shopify-shoppable-video — Compare shoppable video by PDP job: native media, tagged widget, gallery, or catalog-connected platform. - Shopify UGC apps compared: https://www.gotolstoy.com/compare/shopify-ugc-apps — Compare UGC apps by job: post-purchase reviews, social galleries, or shoppable video. --- # Shopify video apps compared URL: https://www.gotolstoy.com/compare/shopify-video-apps Summary: Compare Shopify video apps by job: PDP widget, media library, live selling, or create-to-commerce platform. Verified: 2026-08-18 A Shopify video app is not one product. Merchants searching this query are usually hiring one of four jobs: put a tagged clip on the PDP, run a media library across hundreds of SKUs, sell live, or create product content and make it shoppable from the same catalog. This page compares those jobs. It is not a ranked listicle. Tolstoy is an AI ecommerce platform — create with AI Studio , publish with AI Player , guide with AI Sales Agent . Specialists still win when the job is narrower. FAQs: Q: What is the best Shopify video app? A: There isn't one. Hire a widget (Moast, Quinn, ReelUp, Whatmore) if you already have Reels and need them on the PDP. Hire Videowise if the library and bulk placements are the work. Hire Firework if you are building live/interactive selling. Hire Tolstoy if the job is create with AI Studio, publish with AI Player, and guide with AI Sales Agent from one catalog. Q: Is Tolstoy just a Shopify video app? A: No. The App Store listing is titled around shoppable video because that is how merchants search. On gotolstoy.com, Tolstoy is an AI ecommerce platform. Video is AI Player, not the whole product. Q: Will a Shopify video app slow down my store? A: It can. Test your real PDP on mobile. Widget vendors advertise lazy load and compression; verify on your theme, not the marketing page. Q: Can I start free? A: Yes. Tolstoy has a free plan on the Shopify App Store. Publishing full website shoppable experiences generally needs a paid Player plan — compare on pricing before you scope a site-wide rollout. --- # Shopify shoppable video compared URL: https://www.gotolstoy.com/compare/shopify-shoppable-video Summary: Compare shoppable video by PDP job: native media, tagged widget, gallery, or catalog-connected platform. Verified: 2026-08-18 Shopify shoppable video means the shopper can watch a product in motion and act — tap a tagged SKU, add to cart — without hunting the catalog. The useful split is not "best player of 2026." It is where the video lives on the PDP, how it maps to SKUs, and whether you can make the next clip when the catalog changes. Shopify does not, natively, give you in-video product tags on the storefront. That is why this query surfaces apps. Tolstoy’s answer is AI Player for shoppable video, galleries, and PDP widgets, fed by AI Studio when you need new SKU creative, with AI Sales Agent for the questions video cannot close. Widget specialists still win if all you need is tagged Reels on the page. FAQs: Q: What is shoppable video on Shopify? A: Interactive video mapped to your catalog. Shoppers tap a tagged product and add to cart or open that SKU without scrubbing around the store. Shopify native video playback is not that. Q: Do I need an app? A: Only if you need tagging, social import, syndication, testing, or analytics. Native media is enough for a single explainer clip. Q: Where should shoppable video go? A: Start on PDPs. That is where the SKU decision happens. Then homepage, collection tiles, and landing pages if the PDP test holds. Tolstoy placements are documented on AI Player . Q: Can Tolstoy create the video, not just play it? A: Yes. AI Studio generates product video from catalog images and Brand DNA. Review before publish. AI Player places the approved file. Q: Will this replace my review app? A: No. Reviews are a different trust object. Tolstoy integrates with Yotpo, Okendo, and Loox on the App Store listing. Keep the review app if post-purchase collection is working. --- # Shopify UGC apps compared URL: https://www.gotolstoy.com/compare/shopify-ugc-apps Summary: Compare UGC apps by job: post-purchase reviews, social galleries, or shoppable video. Verified: 2026-08-18 "Shopify UGC app" is three different hires. Treat them as one category and you will install a review widget when you needed tagged TikToks — or rip out Loox because it "doesn't do shoppable video," which it was never built to do. Tolstoy belongs in shoppable video UGC — and only as part of a wider platform: AI Player publishes UGC as shoppable video; AI Studio can add on-brand UGC-style creative from the catalog when you do not have a clip; AI Sales Agent handles questions UGC does not answer. Tolstoy is not a review-request app and not a rights-management gallery. FAQs: Q: What is the best Shopify UGC app? A: The one that matches the job. Reviews: Loox, Judge.me, Yotpo, or Okendo. Galleries: Foursixty or Cevoid. Shoppable video UGC: Tolstoy or a widget specialist. There is no single winner across those rows. Q: Is Tolstoy a UGC app? A: It is an AI ecommerce platform that publishes UGC as shoppable video (AI Player) and can generate UGC-style product content (AI Studio). It is not a review app. Q: Can Loox replace a shoppable video app? A: No. Loox collects and displays visual reviews. It does not turn TikToks into tagged PDP feeds. Stores that need both should keep both. Q: Can I start with UGC I already have? A: Yes. Import from TikTok, Instagram, YouTube, or uploads into AI Player, tag SKUs, publish on the PDP. You do not need AI Studio on day one. Q: Where do the conversion numbers come from? A: Named customer stories only: Skin Rocks +14% CR lift (UGC stories on PDPs), LSKD +24% conversion lift, Culture Kings 50% interaction rate, Pantynova +15% AOV, Hampden 7x CR / 232% AOV on PDPs with Tolstoy video, CSB 6.0% conversion lift and 11x CR for users engaged with Personal Shopper. --- # How to Produce On-Model Catalog Photos at High-SKU Scale URL: https://www.gotolstoy.com/blog/on-model-catalog-photos-at-high-sku-scale Author: Tolstoy Team | Published: 2026-09-15 Summary: A production run-book for fashion teams turning flat lays and supplier photos into consistent on-model PDP images across a high-SKU catalog. Quick answer: treat it as a production line, not a prompt AI fashion catalog production at scale is the practice of producing a whole catalog's on-model images, detail crops, and product video from product inputs you already have — flat lays, packshots, and supplier photos — by applying one saved creative direction per SKU and having a person approve each asset before it publishes. Put plainly: it is a throughput problem, not a generation problem. The teams that make it work fix four things — a shot-list template, an input standard, a saved creative direction, and a review pass — and then run the catalog through them every week. The bottleneck is physical: samples, casting, studio days, and retouch queues do not compress when the SKU count doubles. The unit of work is the SKU, not the prompt: each style carries its own flat lay, variants, and attributes into the run. Consistency is a stored decision: models, lighting, crop, and styling are saved once and reused, or the catalog drifts. Review is non-negotiable: every output is compared against the source product before it reaches a product page. Where to go deeper: the category overview lives on AI fashion catalog production at scale . The arithmetic of a weekly drop Take a catalog that adds 500 new styles a week — a realistic shape for fast fashion, multi-brand retail, and marketplace-style assortments. The number that matters is not 500. It is 500 multiplied by the shot list. If the PDP template is four views — on-model hero, back or full-length, detail crop, and one in-context frame — that week needs 2,000 approved images. Add the colorways that genuinely read differently on a model and the number moves again. Now compare that against what a studio day produces, and the gap is not a scheduling problem you can solve by booking earlier. This is why the long tail launches bare. The shot list is triaged, hero styles get the studio, and everything else goes live with a supplier flat lay, a placeholder, or nothing — on exactly the pages that need the most help converting. So the first decision is not which tool to use. It is what the shot list per style actually is, and which of those views a person must approve before publish. Fix the template and the volume becomes predictable. Leave it to per-style judgment and nothing downstream can be batched. What changes when production moves off the studio calendar AI fashion catalog production takes an approved product input — a flat lay, packshot, or supplier photo — and produces the on-model views, detail crops, lifestyle frames, and product video that a PDP needs for that same SKU, against a creative direction the brand defined once. The important shift is in cost shape. A shoot is largely a fixed cost per day whether or not the full assortment is ready. Generated production is largely variable per asset, which is what puts the long tail inside reach for the first time. The constraint stops being studio availability and becomes reviewer availability. That is a better constraint, but it is still a constraint, and most of the rest of this guide is about designing around it. For the definition, the workflow end to end, and how this compares to traditional shoots, see the AI fashion catalog production at scale page. Fix intake before you fix prompts The single largest source of rework at catalog scale is not the model or the prompt. It is the input image. Supplier photography arrives in whatever state the supplier sent it, and every defect in the source becomes a defect a reviewer has to catch later — multiplied by the whole assortment. Write an input standard and enforce it at intake: Full garment in frame. Cropped hems and cuffs force the system to invent the part you cut off. Sharp at full resolution. Prints, weave, stitching, and hardware must be legible in the source, not implied. Even light, clean background. Hard shadows and busy backdrops get read as garment detail. Pressed, correctly presented samples. A wrinkled or badly hung flat lay produces a wrinkled result. No watermarks, overlays, or marketplace screenshots. These survive into the output more often than teams expect. One file per variant that actually differs. Colorways that read differently on a model need their own source. Send the standard to suppliers as a one-page spec with pass and fail examples. Rejecting a bad flat lay at intake costs minutes. Catching it in review, after it has been generated across four views and a video, costs a great deal more. Define the look once, then run the catalog against it A catalog reads as one brand when the same decisions apply to the first style and the nine-hundredth. Those decisions belong in reusable brand direction, not in the prompt box: Model roster. The specific models the brand uses, and which categories each appears in. Setting and lighting. Studio, location, backdrop, and light quality, described the same way every time. Framing and crop. Camera distance, angle, and the standard crop per view in the template. Styling rules. What is worn with the product, what is never worn with it, hair and makeup direction, and pose vocabulary. Brand assets. Logos, colors, fonts, and reference files that outputs must respect. Written down, this is a creative brief. Stored in the platform, it becomes the thing that makes a weekly run repeatable — including the restock added three months late, which under a studio workflow is the classic source of a collection that reads as several. The related discipline is how you describe the product itself. Fabric, construction, and finish need garment-specific language rather than adjectives; our guide to prompting for apparel brands covers that in detail. Run the week in batches, not requests Ad-hoc requests are how a production line turns back into a queue. Give the week a shape instead: Freeze the batch. Cut off the drop's SKU list on a fixed day so intake, generation, and review have a known size. Validate inputs first. Run the intake checklist across the whole batch before generating anything. Send failures back to the supplier immediately. Generate by category, not by arrival. Knitwear, denim, outerwear, and swim each have their own review reflexes. Grouping them keeps reviewers in one mode. Review in one pass per batch. Context-switching between categories is where subtle print and construction errors get missed. Publish approved work, re-queue the rest. Regenerations and manual finishes go into the next batch rather than blocking this one. Batching also makes the real capacity question answerable. If a reviewer clears a known number of SKUs an hour, the weekly ceiling is arithmetic, and you can staff to it or adjust the template. The per-SKU review pass Review against the source product photo, side by side. Comparing outputs to other outputs tells you they are consistent with each other, which is not the same as being accurate to the garment a customer receives. A workable rubric, in the order errors usually appear: Silhouette and proportion. Does the garment keep its actual shape, length, and volume? Color and colorway. Verified against the real product, not against the reference image. Print scale and placement. Repeat size, direction, and where a motif lands on the body. Logos and text. Small type, labels, and branding are the least reliable elements in any generated image. Construction. Seams, stitching, panel lines, zippers, buttons, and hardware. Styling and brand fit. Does it match the saved direction, and is it appropriate for the category? Channel fit. Does the crop still work at PDP thumbnail size, in a collection grid, and in the ad format? Then one of three outcomes: approve, regenerate with a specific correction, or send it to manual finishing. Track which of the seven checks fails most often — that tells you whether to fix intake, the saved direction, or the shot-list template, and it is the difference between a process that improves each week and one that just runs. Where a shoot still wins Deciding this up front keeps the process honest and stops reviewers from trying to force outputs that were never going to work. Campaign and hero imagery. The season's brand story is worth a studio day. Material behavior as the selling point. Sheer, reflective, heavily structured, or intricately embellished products need more review and manual finishing, and sometimes a camera. Fit and drape claims. On-model output is a creative visualization. It does not establish how a garment fits or falls on a real body, and it should never be presented as if it does. Regulated or claim-bearing categories. Where the image itself carries a compliance burden, shoot it. Everything else — catalog breadth, PDP coverage, variant sets, channel resizes, and refreshes between shoots — is what the production line is for. How to evaluate a platform Sample galleries are the least useful part of a vendor evaluation, because a curated sample says nothing about the nine-hundredth SKU. Score the workflow instead: Does it read your live catalog? Product, variant, image, and copy context should come from the connected store. Upload-only tools make you rebuild the catalog by hand. Can the look be defined once and reused? Without stored direction, consistency is a per-prompt accident. Is there a real review step? Source image and output, side by side — not a gallery of results. Does it produce video and ad formats, not only stills? Splitting those across tools reintroduces the bottleneck you were removing. Is there a route to the storefront? Generation that ends in a download leaves the slowest step unsolved. Are variants and repeat runs first-class? New colorways, restocks, and next season should reuse the saved direction. Are the limits stated plainly? A vendor that names its failure modes is easier to plan around. Run those criteria against a real batch from your own catalog — ideally your hardest category, not your easiest — before committing to any platform. Tools in this category sit at different points in the workflow, which is usually more decisive than any single output comparison. Uwear is positioned as a visual production engine, where the strength is the generation step and catalog context, review, and publishing stay in your own tools. FASHN is positioned around turning a product image into a model image, available through an API — powerful as a component, with the surrounding workflow yours to build. Tolstoy is positioned as commerce-complete: catalog context and brand direction in, on-model images plus product video and ad creative out, human review against the source product, then publishing to the storefront. Which one fits depends on how much of the pipeline you intend to own. Start with one drop Do not migrate the catalog. Pick the next drop, or a single category inside it, and run the whole loop once: fixed shot-list template, intake standard enforced, direction saved, one batch generated, one review pass, published. Record where time actually went and which review check failed most. That run tells you your real weekly ceiling and what to fix first — which is information no vendor demo can give you. Ready to put a drop through it? See how the pipeline works end to end on AI fashion catalog production at scale , or talk to our team about your catalog. --- # 6 Best Shopify Video Apps in 2026 URL: https://www.gotolstoy.com/blog/best-shopify-video-app Author: Tolstoy Team | Published: 2026-08-17 Summary: Compare six Shopify video apps for shoppable video, UGC, and product-page widgets. Quick answer, sourced features, and when each app fits. Quick answer: Tolstoy is our first pick for Shopify brands that want shoppable video and UGC in one app, with AI content and optional virtual try-on. Videowise is a strong fit for large catalogs and many widget placements. Firework fits interactive video and live commerce. Moast fits lightweight carousels with unlimited views on paid tiers. Quinn fits Instagram-style reels on a free starter plan. ReelUp fits TikTok-style widgets with straightforward social import. Use this guide to compare Shopify video apps by workflow, placement, and pricing model. For a category-wide view by job (storefront widget, live selling, or create-to-commerce), see Shopify video apps compared . For Tolstoy product and installation details, visit the Shopify video app page . For options beyond Shopify, see our guide to shoppable video platforms for ecommerce . Match the app to the job: social import, widget variety, live commerce, or AI-guided shopping. Test page speed on a real product page before you roll out site-wide. Separate shoppable video apps from review UGC tools. Track revenue or influenced orders per video, not only views. Disclosure: Tolstoy publishes this guide and appears first. We rank it first for brands that want shoppable video, UGC, and connected AI shopping in one Shopify workflow. Each alternative has a job where it can be the better choice. We reviewed public App Store listings and vendor marketing pages on August 17, 2026. Feature availability and pricing can change, so verify them in a pilot. The best Shopify video apps by use case App Best for Social import Standout capability Important tradeoff Tolstoy Shoppable video, UGC, AI content, and guided shopping TikTok, Instagram, YouTube, Pinterest, cloud drives AI Studio, AI Player , AI Sales Agent, Shop App, TikTok Shop Publishing full storefront widgets generally needs a paid Player plan beyond the free tier Videowise Large video libraries and many placements TikTok, Instagram, Drive, Dropbox, Meta Ads 16+ widget types, bulk publish, media library with editor Pricing scales with widget impressions Firework Interactive video and live commerce TikTok, Instagram, YouTube Quizzes, polls, coupons, Klaviyo video email Free tier caps monthly views and uploads Moast Fast carousels and lightweight widgets Instagram Reels and TikTok Unlimited video views on paid plans, Shop App syndication Focused on carousel-style widgets rather than a full content platform Quinn Instagram-style reels and stories Instagram Reels and TikTok by URL Reels, stories, floating bubble, and grid layouts Free plan limits uploads and monthly tracked views ReelUp TikTok-style autoplay widgets Instagram and TikTok one-click import Carousel, stories, and below-add-to-cart placement View-based pricing on paid tiers How we evaluated the apps Shopify fit: Theme blocks, catalog sync, Shop App support, and checkout-friendly product tagging. Content workflow: Import from social, bulk upload, media library, and rights management where advertised. Widget coverage: Product page, homepage, collection, email, and other surfaces the vendor documents. Commerce depth: In-video add-to-cart, analytics tied to orders, and integrations such as Klaviyo or review apps. Performance claims: Compression, lazy loading, or lightweight embeds stated on the App Store or vendor site. Pricing model: Free tier limits, impression caps, view caps, and what is available on paid plans. 1. Tolstoy: best for shoppable video, UGC, and AI shopping in one Shopify app Tolstoy is listed on the Shopify App Store as a shoppable video and UGC app that also generates AI product content and adds AI sales and try-on experiences. Its free plan includes Shop App publishing, TikTok Shop publishing, social and cloud import, starter AI images and videos, and AI Sales Agent search. Best for: Shopify brands that want one workflow for UGC import, shoppable widgets, AI content, and optional virtual try-on instead of stitching together separate tools. Why it is first: Most apps in this list solve video placement well. Tolstoy also connects video to AI Player publishing, AI Studio content creation, and AI Sales Agent guidance on the same catalog. That matters when video is part of discovery, not only decoration on a product page. Source notes (August 17, 2026): The App Store listing documents shoppable videos and UGC reels, bulk publish to storefront, Shop App, TikTok Shop, email, SMS, and Meta Ads, plus integrations with Klaviyo, Yotpo, Okendo, and Loox. Paid Player plans add unlimited shoppable videos, feeds, stories, carousels, analytics, and A/B testing per the listing. Watch for: The free tier covers several distribution and AI entry points, but Tolstoy's help center states that publishing standard website shoppable experiences generally requires a paid Player plan. Compare plans before you scope a full-site rollout. For head-to-head context, read Tolstoy vs Videowise , Tolstoy vs Shopify Magic , and Tolstoy vs Shopify native video . 2. Videowise: best for large catalogs and many widget types Videowise on the Shopify App Store focuses on shoppable video carousels, UGC, reels, stories, sliders, backgrounds, and a centralized media library with a built-in editor. Its listing documents import from TikTok, Instagram, Google Drive, Dropbox, and Meta Ads, plus bulk publish across product pages, collections, homepages, Shop App, and TikTok Shop. Best for: Mid-to-large Shopify stores with a large video library that need many widget formats and cross-page bulk updates. Why it made the list: Videowise advertises 16+ widget themes, video compression, SEO and AEO optimization, and advanced analytics on paid tiers. Its Pro plan starts at $9 per month with 5,000 unique widget impressions according to the App Store listing. Watch for: Pricing scales with widget impressions. High-traffic stores should model impression overages before they commit. Videowise also positions live shopping and AI clipping on its marketing site; confirm which of those are in your plan during a pilot. 3. Firework: best for interactive video and live commerce Firework on the Shopify App Store describes shoppable videos, UGC reviews, quizzes, polls, coupons, and bulk import from Instagram and TikTok. Its product page adds dynamic carousels, floating players, Shop App distribution, and Klaviyo shoppable video in email. Best for: Brands that want interactive elements inside video and may run live selling or replay clips afterward. Why it made the list: Firework documents a performance dashboard with attributed GMV, conversion, and engagement metrics. That makes it a credible option when live or interactive video is central to the strategy. Watch for: The App Store lists a free Pilot plan with 1,000 monthly views and 10 uploads. The $39 Starter plan lists 10,000 views, while the $259 Growth plan lists 50,000 views and unlimited uploads. Confirm current caps before you plan a large UGC import. 4. Moast: best for lightweight shoppable carousels Moast on the Shopify App Store turns Reels, TikToks, and UGC into shoppable video carousels. Its listing advertises mobile-first widgets, product tagging with in-video add-to-cart, analytics for views, clicks, and revenue, and free Shop App publishing. Best for: Shopify merchants that want a fast carousel on product pages without a heavy media-management suite. Why it made the list: Moast documents mobile-first widgets, free Shop App publishing, and tracking for views, clicks, and sales. Its site also documents AI Smart Feeds that sort videos by clicks, watch time, add-to-carts, and sales. That is useful when you have more UGC than homepage space. Watch for: Moast is narrower than Videowise or Firework on widget variety and enterprise workflow. It is a strong fit when speed and simplicity matter more than a full digital asset management layer. 5. Quinn: best for Instagram-style reels on a free starter tier Quinn Shoppable Videos & Reels on the Shopify App Store lets merchants embed shoppable reels and stories, import from Instagram and TikTok, and add products inside video with tracked revenue. Quinn's site documents carousels, stories, floating bubbles, grids, and pop-ups. Best for: Smaller Shopify stores that want a social-style reel experience with a low-friction install. Why it made the list: Quinn advertises AI compression up to 20x for page-speed impact and a free plan with limited uploads and tracked views. Its marketing site claims a five-minute setup path, which matches the use case of testing shoppable reels before a larger rollout. Watch for: The free tier caps uploads and monthly tracked views on the App Store listing. Treat Quinn as a reel-first widget app, not a full AI content or live-commerce platform. 6. ReelUp: best for TikTok-style autoplay placement ReelUp on the Shopify App Store imports TikTok and Instagram videos and displays them as shoppable carousels, stories, and placements below the add-to-cart button. Its listing notes GT-Metrix tested widgets, native autoplay embeds, Shopify multi-currency support, and integrations with Yotpo, Loox, and Judge.me. Best for: Shopify stores that want TikTok-like autoplay on product pages and already use review apps for social proof overlays. Why it made the list: ReelUp documents a free forever tier with 100 video views per month and up to 10 uploaded videos, plus paid tiers with higher view limits and watermark removal. The below-add-to-cart placement is a practical PDP test many merchants ask for. Watch for: ReelUp counts a view only after a minimum watch time, which differs from apps that count impressions on widget load. Compare analytics definitions before you benchmark vendors. Shopify native video vs dedicated video apps Shopify lets you add video to product media and theme sections without an app. That works for a simple product clip. It does not, by itself, import TikTok or Instagram UGC at scale, tag multiple products inside a reel, syndicate shoppable clips to Shop App or TikTok Shop, or attribute revenue to a specific video asset. If your question is whether to stay native or add an app, start with the job: one hero clip per SKU, or a repeatable UGC and shoppable video program. For the second case, use a dedicated app and read Tolstoy vs Shopify native video and Tolstoy vs Shopify Magic . Virtual try-on on Shopify Shoppable video answers "what does this look like in motion?" Virtual try-on answers "what might this look like on me?" They overlap in fashion and beauty, but they are different product decisions. Tolstoy's Shopify listing includes AI sales agents and try-on on eligible plans. If try-on is the primary goal, use the best virtual try-on tools for ecommerce , the generic category guide. We are not publishing a separate Shopify-app virtual try-on roundup here. Shopify video app selection checklist Define the primary surface: product page, homepage, collection, email, Shop App, or TikTok Shop. If the job is PDP shoppable video only, start with Shopify shoppable video compared . List your content sources: owned shoots, creator clips, TikTok, Instagram, or customer UGC. Run the same three videos through two shortlisted apps on a staging theme. Measure mobile page speed, time to first playable frame, and add-to-cart clicks from video. Confirm how the app counts views, impressions, and attributed orders. Check whether you also need review-collection UGC; if yes, read the best Shopify UGC app guide . If you want shoppable video, UGC import, and connected AI shopping on Shopify, start with Tolstoy's Shopify video app page or install from the Shopify App Store . --- # 5 Best Shopify UGC Apps in 2026 URL: https://www.gotolstoy.com/blog/best-shopify-ugc-app Author: Tolstoy Team | Published: 2026-08-17 Summary: Compare five Shopify UGC apps split by job: shoppable social video vs post-purchase review UGC. Quick answer, disclosure, and sourced features. Quick answer: For shoppable social video UGC , Tolstoy is our first pick on Shopify; Foursixty fits Instagram and TikTok gallery workflows. For review UGC collected after purchase, compare Loox, Yotpo, and Judge.me. They are review apps, not shoppable video platforms. Use this guide to separate shoppable social video from post-purchase review UGC before you compare apps. For a structured comparison across both UGC types on Shopify, see Shopify UGC apps compared . For Tolstoy product and installation details, visit the Shopify video app page . For widget-focused options, see our Shopify video app comparison . Split the question before you compare apps: shoppable social video vs post-purchase review UGC. Loox, Yotpo, and Judge.me are review apps, not shoppable reel or TikTok feed tools. Tolstoy and Foursixty handle social or creator content with product tagging. Measure submissions, approved assets, and revenue influence instead of only widget views. Disclosure: Tolstoy publishes this guide and appears first in the shoppable video section. We rank it first for shoppable UGC video and connected commerce distribution on Shopify. Loox, Yotpo, and Judge.me are review apps; Foursixty is a social-gallery specialist. We reviewed public App Store listings and vendor marketing pages on August 17, 2026. Feature availability and pricing can change, so verify them in a pilot. Two kinds of UGC on Shopify Merchants often ask for "the best Shopify UGC app" when they mean two different jobs. This guide keeps them separate on purpose. UGC type What the shopper sees Typical content source Apps in this guide Shoppable and social video UGC Reels, stories, or carousels with in-video product tags TikTok, Instagram, creators, or owned clips Tolstoy , Foursixty Review UGC Star ratings with customer photos or short review videos Post-purchase review requests Loox , Yotpo , Judge.me Be explicit about which job you are solving. A review app can display video reviews without replacing a shoppable reel feed, and a video app will not automatically collect structured product reviews after delivery. Shoppable and social video UGC These apps import or curate social and creator content, tag products, and publish shoppable experiences on your storefront or connected channels. They are not post-purchase review collectors. App Best for Primary collection method Important tradeoff Tolstoy Shoppable UGC video across storefront, Shop App, TikTok Shop, email, and SMS Import from TikTok, Instagram, YouTube, and uploads Review-request email flows are not its core job Foursixty Shoppable Instagram and TikTok galleries with rights management Social sync plus UGC collection on paid tiers Starts at $90 per month on the App Store listing Tolstoy: best for shoppable UGC video on Shopify Tolstoy on the Shopify App Store imports social and uploaded video, tags products, and publishes shoppable UGC across product pages, Shop App, TikTok Shop, email, SMS, and Meta Ads. Tolstoy also generates AI product images and videos and offers AI Sales Agent with optional try-on on eligible plans. A free plan is available. Best for: Shopify brands that already have TikTok, Instagram, or creator clips and want those assets shoppable on the storefront and other commerce surfaces. Why it is first in this section: Tolstoy treats UGC as commerce content. You import clips, tag SKUs, publish through AI Player widgets, and extend the same assets to Shop App and paid channels from one workflow. Source notes (August 17, 2026): The App Store listing documents bulk publish, integrations with Klaviyo, Yotpo, Okendo, and Loox, and analytics for video, ads, and shopper performance. Watch for: If your main gap is post-purchase reviews, use the review apps below or pair Tolstoy with one of them. For widget-only comparisons, read the best Shopify video app guide . Foursixty: best for shoppable Instagram and TikTok galleries Foursixty Shoppable Social UGC on the Shopify App Store turns Instagram, TikTok, and ambassador content into shoppable galleries on product pages, homepages, email, and Shop Minis. Its listing documents UGC collection, rights management, influencer tracking, and Klaviyo galleries on higher tiers. Best for: Brands whose UGC strategy starts on Instagram or TikTok and needs curated, product-tagged galleries instead of automated review requests. Why it made this section: Foursixty is explicit about social commerce. Its site documents shoppable posts, ambassador shops, auto-scheduling for Instagram, and revenue attribution tied to social content. Reels and TikTok galleries are available above the entry plan per the App Store listing. Watch for: Foursixty is a gallery and social-commerce tool, not a review-request platform. Confirm whether Reels, TikTok, UGC rights, and email galleries are in the tier you need. Review UGC apps These apps collect post-purchase reviews, often with photos or videos, and display them as trust widgets. They are not shoppable video or TikTok-import platforms. Do not expect Loox, Yotpo, or Judge.me to replace Tolstoy or Foursixty for reel-style storefront video. App Best for Primary collection method Important tradeoff Loox Visual product reviews and photo-heavy widgets Automated post-purchase emails with photo incentives Not a shoppable reel or TikTok-style feed platform Yotpo Review volume inside the broader Yotpo ecosystem Email and SMS review requests with photo and video on paid tiers Advanced UGC features sit behind higher tiers Judge.me Unlimited review volume on a low-cost plan Automated review requests after fulfillment or delivery Video reviews are review widgets, not shoppable social feeds Loox: best for photo and video product reviews Loox on the Shopify App Store is a visual reviews app. Its listing focuses on collecting photo and video reviews through automated emails, QR codes, and discount incentives, then displaying them in 17+ widgets with AI sorting, highlights, translations, and Shop App syndication. Best for: Shopify stores that need post-purchase review UGC and fast, mobile-friendly review widgets. Why it made this section: Loox is explicit about visual reviews as its core product. Its site documents carousels, video sliders, pop-ups, and checkout snippets. That is review UGC, not shoppable TikTok-style video. Watch for: Loox does not market bulk TikTok import or in-reel add-to-cart as its primary workflow. Yotpo: best for reviews and UGC at scale inside the Yotpo ecosystem Yotpo Product Reviews & UGC on the Shopify App Store collects product and site reviews on autopilot with email templates, moderation, and on-site widgets. Paid tiers add photo and video collection, Google rich snippets, review carousels, AI summaries, and smart sorting per the listing. Best for: Brands that already use or plan to use Yotpo for loyalty, SMS, or subscriptions and want reviews in the same vendor relationship. Why it made this section: Yotpo's Shopify integration page documents plug-and-play install, review import from other platforms, and syndication to TikTok, Walmart, and other channels on higher tiers. Watch for: Yotpo is a review platform. Photo and video UGC collection is documented, but shoppable social video feeds are not the center of the product. Judge.me: best budget-friendly review UGC with video widgets Judge.me on the Shopify App Store collects unlimited product reviews, photos, and videos through automated post-purchase requests. Its listing documents review widgets, video and testimonial carousels, Google rich snippets, Shop App sync, and imports from Yotpo, Loox, Amazon, and Etsy. Best for: Stores that want high review volume and video-review display without enterprise review pricing. Why it made this section: Judge.me documents a Videos Carousel widget for published video reviews and unlimited visual reviews on its features page. That is still review UGC displayed after purchase, not creator reels imported into a shoppable feed. Watch for: Judge.me's help center states the Videos Carousel requires at least three published video reviews to display. Plan collection before you embed the widget. When to combine apps A Shopify store can use more than one layer when it needs separate workflows: Shoppable video (Tolstoy): Import creator and social clips, tag products, publish reels and carousels on PDPs and campaigns. Social gallery (Foursixty): Curate ambassador or hashtag content when the brand's UGC lives mainly on Instagram. Review UGC (Loox, Yotpo, or Judge.me): Collect post-purchase photo and video reviews, power star ratings, and feed Google or Shop App syndication. Tolstoy's App Store listing documents integrations with Loox and Yotpo. These integrations show that the products can work together; they do not establish how commonly stores combine them. Shopify UGC app selection checklist Name the job first: shoppable social video, social gallery, or post-purchase review UGC. Do not shortlist a review app when you need TikTok or Instagram reel import. Count monthly orders if you are comparing review apps with order-based pricing. Test one widget on a high-traffic product page before you syndicate everywhere. Define moderation rules for faces, claims, and usage rights before you publish customer content. If video widget placement is the main question, read the best Shopify video app guide next. For shoppable UGC video with AI content on Shopify, start at Tolstoy's Shopify video app page . --- # 7 Best AI Content Tools for Ecommerce in 2026 URL: https://www.gotolstoy.com/blog/best-ai-content-creation-tools-ecommerce Author: Rosalie Gill | Published: 2026-08-12 Summary: Compare seven AI content tools for ecommerce images, video, ads, and copy. See best use cases, tradeoffs, examples, and selection criteria. Quick answer: Tolstoy is our first recommendation for ecommerce brands that want one workflow for product-aware images, videos, ad creative, review, and commerce distribution. Photoroom is strongest for fast product-photo cleanup, Canva for collaborative templates, Adobe Firefly for Creative Cloud teams, Creatify for product-led video ads, HeyGen for avatar videos, and Jasper for marketing copy. Choose the tool for a specific production job, not for the longest AI feature list. Test with difficult products, such as reflective packaging, fine patterns, logos, and multiple variants. Measure approved assets per SKU and time to publish, not the number of generations. Keep a person responsible for product accuracy, rights, claims, and final approval. On this page Quick comparison How we evaluated the tools 1. Tolstoy 2. Photoroom 3. Canva 4. Adobe Firefly 5. Creatify 6. HeyGen 7. Jasper Selection checklist Quality-control checklist Disclosure: Tolstoy publishes this guide and appears first. We rank it first for the ecommerce workflow described below. Each alternative has a job where it can be the better choice. We reviewed public product materials on August 12, 2026. We did not run a controlled output benchmark across all seven tools. The best AI content creation tools for ecommerce Tool Best for Main inputs Main outputs Important tradeoff Tolstoy Product-to-content and content-to-commerce Catalog, product assets, brand context, brief Product images, videos, ads, channel-ready variants Best value comes from using the connected ecommerce workflow, not as a stand-alone image editor Photoroom Product-photo cleanup and staging Existing product photos Clean packshots, backgrounds, lifestyle images More focused on still-image production than full campaign orchestration Canva Collaborative templates and resizing Prompts, uploads, templates, Brand Kit Social posts, ads, presentations, short video Teams still need a separate product-data and publishing workflow Adobe Firefly Creative Cloud production and governance Prompts, reference assets, existing creative Images, video, audio, vector, edits Can be more system than a small ecommerce team needs Creatify Fast product-led video ads Product URL, product assets, ad brief UGC-style and product video ads Ad volume does not remove the need for claim and product review HeyGen Avatar-led product explainers Script, voice, avatar, source footage Presenter videos and localized versions It is not a catalog-first product-content system Jasper Brand-aware marketing copy Brief, brand voice, campaign context Product copy, campaign copy, content drafts Visual production needs another tool How we evaluated the tools A useful ecommerce content tool must do more than produce an attractive first image. We used six criteria that match the work a commerce team has to complete: Product fidelity: Can the team preserve shape, color, texture, packaging, logos, and variant details? Ecommerce context: Can the tool use product data, source images, brand rules, and channel needs? Format coverage: Can it create the still images, short videos, ads, and copy the team needs? Control: Can a person compare, edit, reject, and approve output before publication? Delivery: Does the approved asset move into a product page, ad, email, or social workflow with little manual work? Operational fit: Can the team repeat the process across products without losing quality or ownership? The order below reflects those criteria for an ecommerce brand. A team that only needs one job, such as background removal or avatar translation, should use the specialist for that job. 1. Tolstoy: best overall for ecommerce content workflows Tolstoy connects AI content creation to shoppable and guided-commerce surfaces. Source: Tolstoy AI Studio . Tolstoy AI Studio is built around the product, the brand, and the destination of the asset. It can use catalog and brand context to create product images, videos, and campaign creative. Brand DNA gives the agent editable context about the brand, audience, products, logos, colors, fonts, and source files. A team can then review the result and move approved work toward product pages, email, social, ads, or a shoppable video experience. Best for: Shopify and ecommerce teams that want one production loop from product input to approved, commerce-ready content. Why it is first: Most tools in this list solve one production step. Tolstoy combines product context, image and video creation, review, and commerce distribution. That reduces the manual handoff between a generator, a design tool, a shared drive, and the storefront. Watch for: AI output can still change a label, seam, texture, color, or included accessory. Use a source-of-truth product image and require human approval. See the practical guide to protecting product trust in AI content . 2. Photoroom: best for fast product-photo cleanup Photoroom focuses on ecommerce product visuals, backgrounds, staging, and batch editing. Source: Photoroom for ecommerce . Photoroom is a focused choice when the source image already exists and the team needs clean, consistent product photography. Its public ecommerce workflow covers background removal, lighting and tone correction, AI staging, virtual models, reusable templates, batch work, and API-based automation. Best for: Marketplaces, resale teams, and catalogs that need a repeatable image standard across many supplier or smartphone photos. Why it made the list: The job is clear. A product goes in, and a cleaner or more useful product image comes out. That focus can make Photoroom easier to operationalize than a broad creative suite. Watch for: A realistic background does not prove that the product itself is accurate. Check edges, reflections, packaging text, materials, and scale. Photoroom also documents an AI Product Fixer for product-detail errors, but final approval still belongs to the merchant. 3. Canva: best for collaborative templates and channel variants Canva combines templates, team editing, Brand Kits, and AI media tools. Source: Canva Magic Studio . Canva is useful after a team has the product asset and needs to turn it into many channel formats. Magic Studio includes prompt-based design, image and short-video generation, editing, and animation. Teams can apply a Brand Kit, work in shared files, and resize a concept for common marketing surfaces. Best for: Small and mid-size teams that need social posts, ad layouts, email graphics, and sales materials from a shared template system. Why it made the list: Collaboration and layout speed matter as much as generation. Canva gives non-designers a familiar place to assemble, edit, approve, and resize creative. Watch for: Canva does not start with a synchronized product catalog. A person still has to keep prices, claims, product images, and variant details current across designs. 4. Adobe Firefly: best for Creative Cloud teams Adobe Firefly supports image, video, audio, vector generation, and AI edits. Source: Adobe Firefly . Adobe Firefly fits teams that already work in Photoshop, Illustrator, Express, Premiere, and the wider Creative Cloud environment. Adobe documents text-to-image, generative fill, image-to-video, text-to-video, audio, vector, and enterprise controls. Its own Firefly models are trained on licensed and public-domain content, while partner models inside Firefly can have different terms. Best for: Creative departments that need generation inside an established production, rights, and governance system. Why it made the list: A professional team can move from concept to detailed edit without exporting every step to a separate application. Watch for: Check which model made the output and which terms apply. Adobe distinguishes its Firefly models from third-party models available in the same product. 5. Creatify: best for rapid product-led video ads Creatify focuses on AI-generated video ads, including product-URL workflows. Source: Creatify . Creatify is designed for teams that need many video-ad concepts from a product page or product asset. Its public product materials describe URL-to-video, UGC-style and cinematic formats, avatars, batch generation, channel launch, and creative analytics. Best for: Performance teams that want to test more hooks, presenters, and edits around a product. Why it made the list: The workflow starts close to the ad job. A team can move from product URL to multiple video concepts without building each one from a blank timeline. Watch for: More variations can create more review work. Verify product use, spoken claims, offer details, subtitles, music rights, and platform policy before launch. 6. HeyGen: best for avatar-led product explainers HeyGen specializes in AI avatars, voice, and presenter-style video. Source: HeyGen . HeyGen is a specialist for presenter-led video. A brand can create an avatar or use a stock presenter, add a script and voice, and produce versions for different markets or audiences. This can be useful for product education, founder-style messages, explainers, and localized campaign variants. Best for: Teams that need a consistent presenter across many short product or campaign videos. Why it made the list: The product is designed around the human-presenter format, which a general image generator usually handles poorly. Watch for: Get consent for any cloned face or voice. Also confirm that the script, gestures, pronunciation, and product demonstration are accurate before publication. 7. Jasper: best for brand-aware marketing copy Jasper focuses on brand-aware marketing text and campaign workflows. Source: Jasper for ecommerce and retail . Jasper is the text specialist in this list. It is built for marketing briefs, brand voice, campaign copy, product descriptions, and content repurposing. It can help a team create a first draft and adapt the same message for a product page, email, paid ad, or social post. Best for: Content and lifecycle teams that need more copy variations while keeping shared brand guidance. Why it made the list: Ecommerce content includes language as well as visuals. A good product image still needs a factual title, description, claim, caption, and call to action. Watch for: Brand voice does not guarantee factual accuracy. Product specifications, prices, policies, testimonials, and regulated claims must come from an approved source. How to choose the right AI content tool Run the same test in every finalist. Use five products: one easy product, one with small text, one reflective product, one apparel item with a fine pattern, and one product with several variants. Give every tool the same source files and brief. Question What to record Failure signal Does the product remain accurate? Color, shape, texture, label, logo, scale, included parts The image looks good but shows a product that does not exist How much output is usable? Approved assets divided by generated assets The team generates a large volume and approves almost none How long does approval take? Minutes from source input to approved asset Cleanup takes as long as manual production Can the team repeat the result? Consistency across five products and three channels Each output uses a different visual system What happens after approval? Export, product mapping, publishing, tracking Files enter another manual queue with no clear owner AI content quality-control checklist Compare every output with the product source of truth. Check all text, logos, patterns, colors, reflections, seams, and accessories. Confirm that the creative does not imply an unsupported feature, result, ingredient, or offer. Check consent and usage rights for people, voices, UGC, music, fonts, and source images. Export the correct crop, resolution, file size, captions, and safe area for the destination. Measure approval rate, production time, publishing time, and downstream performance separately. The right tool is the one that produces accurate, approved content and gets it into market with less work. For a team that wants to connect product context, brand guidance, generation, review, and commerce distribution, explore Tolstoy AI Studio . --- # 7 Best Virtual Try-On Tools for Ecommerce in 2026 URL: https://www.gotolstoy.com/blog/best-virtual-try-on-tools-ecommerce Author: Rosalie Gill | Published: 2026-08-12 Summary: Compare seven virtual try-on tools for fashion, beauty, eyewear, jewelry, and footwear. See examples, tradeoffs, and a practical pilot plan. Quick answer: Tolstoy is our first recommendation for ecommerce brands that want virtual try-on inside a broader AI shopping workflow. Genlook is a focused option for apparel, Banuba for beauty and face-based augmented reality, FittingBox for eyewear, Camweara for multi-category fashion, Kivisense for footwear and 3D AR, and Zakeke for configurable products and accessories. Choose by product category before you compare general feature lists. Separate visual try-on from size and fit prediction. Test the experience on a real mobile product page, not only in a vendor demo. Measure completed try-ons, purchase behavior, page speed, privacy choices, and return reasons. On this page Quick comparison Virtual try-on technology types How we evaluated the tools 1. Tolstoy 2. Genlook 3. Banuba 4. FittingBox 5. Camweara 6. Kivisense 7. Zakeke Virtual try-on pilot plan Privacy and quality checklist Disclosure: Tolstoy publishes this guide and appears first. We rank it first for a connected ecommerce shopping workflow, not as the universal winner for every product category. We reviewed public product materials on August 12, 2026. Vendor claims and feature availability can change, so verify them in a pilot and contract. The best virtual try-on tools by ecommerce use case Tool Best for Primary approach Commerce fit Important tradeoff Tolstoy Try-on plus AI shopping guidance Generated visual try-on inside a guided shopping experience Product discovery, recommendations, questions, and try-on in one flow Use the result as visualization, not proof of physical fit Genlook Fashion and apparel stores Photo-upload generative try-on Shopify, WooCommerce, and product-page placement Apparel coverage does not make every fabric or silhouette equally easy Banuba Beauty, hair, eyewear, and face accessories Real-time face AR and SDK Web, mobile, SDK, and Shopify options Implementation depth varies by category and surface FittingBox Eyewear specialists 3D frames, face detection, and live AR API and plug-and-play options for eyewear commerce Purpose-built for glasses, not a general fashion system Camweara Jewelry and brands with several try-on categories AI and real-time AR by product category Shopify, Magento, WordPress, and API options Confirm feature depth separately for each category Kivisense Footwear and 3D product visualization Real-time AR, tracking, and 3D assets Web, app, SDK, and quick-embed paths 3D asset creation can add setup work Zakeke Configurable accessories and WebAR WebAR, 3D, customization, and AI try-on Product customizer and commerce integrations Some categories are available earlier than others Virtual try-on, size guidance, and 3D preview are different tools The category includes several technologies that answer different shopper questions: Technology Question it answers Common inputs What it does not prove Generative photo try-on How might this item look on me? Shopper photo and product image Exact size, comfort, movement, or fabric behavior Live augmented reality How does this frame, color, or accessory look from this camera angle? Live camera, face or body tracking, 2D or 3D asset Physical feel, weight, and complete optical or garment fit 3D product viewer or configurator What does this design, material, or configuration look like? 3D asset, options, product rules How the item looks on the shopper unless try-on is also present Size recommendation Which size should I choose? Body data, product measurements, fit history, return data A photorealistic view of the product on the shopper A vendor can provide more than one type. Ask which result the shopper sees, which data creates it, and which claims the system has been validated to support. How we evaluated the tools Category fit: Does the technology match apparel, beauty, eyewear, jewelry, footwear, or configurable products? Shopper effort: Does the shopper need a live camera, a photo, measurements, an account, or a separate app? Merchant effort: Does the brand need flat product images, 3D models, digitized frames, product measurements, or manual rules? Commerce integration: Can the experience sit on the product page and use current products, variants, prices, and availability? Truth and privacy: Does the implementation make the limits clear and give the shopper control over personal images or measurements? Measurement: Can the brand connect try-on behavior to product actions and reason-coded returns? 1. Tolstoy: best for try-on inside an AI shopping journey Tolstoy places visual try-on beside product guidance and conversation. Source: Tolstoy AI Sales Agent . Tolstoy AI Sales Agent connects visual try-on with the rest of the purchase decision. A shopper can explore products, ask questions, receive recommendations, and see a product on their own image without moving between separate tools. The brand can use the questions and actions in that journey to improve product content and follow-up. Best for: Ecommerce brands that want try-on to support discovery and product guidance, instead of adding a stand-alone camera widget. Why it is first: Try-on is one part of the decision. A shopper may also need material details, color options, care instructions, styling help, or a different product. Tolstoy keeps those steps in one guided experience and connects them to the commerce workflow. Watch for: Treat the generated image as a visualization. Do not describe it as body measurement, a sizing guarantee, or proof of physical fit unless a separate validated fit system supports that claim. For the broader category, read the guide to AI sizing and virtual try-on for Shopify . 2. Genlook: best focused option for apparel stores Genlook generates an apparel try-on from a shopper photo and an existing product image. Source: Genlook . Genlook focuses on fashion. Its public product materials describe a product-page button that lets a shopper upload one photo and generate an image with the selected garment. It supports Shopify and other commerce systems, and it lists category coverage that includes dresses, outerwear, tailoring, denim, swimwear, activewear, hats, and more. Best for: Fashion stores that want a direct apparel try-on flow with a short installation path. Why it made the list: The product, examples, and implementation are centered on the apparel job. That makes the buying decision easier than comparing a general AR platform with many unrelated modules. Watch for: Test layered outfits, fine prints, loose garments, unusual poses, and size-inclusive shoppers. A broad category list does not guarantee equal visual quality for every item. 3. Banuba: best for beauty and face-based AR Banuba offers AR try-on for cosmetics, hair, eyewear, contacts, headwear, jewelry, rings, and nails. Source: Banuba Virtual Try-On . Banuba is a strong specialist for live face effects. Its virtual try-on product covers makeup, skincare, glasses, colored contacts, hair color, headwear, jewelry, rings, and nail polish. The company offers SDKs for web and mobile, plus no-code options for some commerce systems. Best for: Beauty and accessory brands that need real-time color or product visualization on the shopper's camera. Why it made the list: Face tracking and cosmetic rendering are specialized computer-vision jobs. Banuba has a product surface designed for them rather than a general image generator adapted to the category. Watch for: Validate color across devices, lighting, and skin tones. Also test low light, glasses, facial hair, occlusion, and older phones before a wide release. 4. FittingBox: best eyewear specialist FittingBox combines digitized 3D frames with face detection and eyewear-specific virtual try-on. Source: FittingBox . FittingBox is built for glasses and sunglasses. Its official materials describe 3D frame digitization, instant face detection, realistic rendering, an API, and plug-and-play options for online and in-store use. It also provides a large database of digitized eyewear frames. Best for: Optical retailers and eyewear brands that need a category-specific system and a frame-digitization path. Why it made the list: Frame scale, angle, bridge placement, and pupillary-distance context make eyewear different from general accessories. FittingBox focuses on those constraints. Watch for: Ask which frames already exist in the database, which need digitization, how long that work takes, and how private-label frames are handled. 5. Camweara: best for jewelry and multi-category fashion Camweara offers category-specific try-on for jewelry, clothing, eyewear, and shoes. Source: Camweara . Camweara covers several visual try-on jobs from one vendor. Its public site lists jewelry, clothing, eyewear, and shoes, with AI or AR methods suited to each category. It also documents common ecommerce and API integration paths. Best for: A fashion group that sells across several accessory and apparel categories and wants fewer vendors. Why it made the list: Multi-category support can reduce vendor management when the catalog extends beyond one try-on type. Watch for: Evaluate each category as a separate product. Strong jewelry tracking does not prove the same depth for clothing or footwear. 6. Kivisense: best for footwear and 3D AR Kivisense provides head-to-toe AR and 3D try-on, including footwear. Source: Kivisense Try-On . Kivisense provides AR and 3D solutions across several categories, with a clear footwear offer. Its documentation describes web and app embeds for shoe try-on, while its product materials cover tracking and material rendering for items such as leather and canvas. Best for: Footwear brands and retailers that need real-time on-foot visualization or a wider 3D asset program. Why it made the list: Foot tracking, perspective, and material rendering are specific to the category. A purpose-built system is easier to evaluate than a generic face filter. Watch for: Confirm the 3D asset requirements and cost per SKU. Also test foot detection with socks, wide-leg pants, varied skin tones, movement, and common camera angles. 7. Zakeke: best for configurable accessories and WebAR Zakeke combines WebAR try-on with 3D visualization and product customization. Source: Zakeke Virtual Try-On . Zakeke combines virtual try-on with product customization and 3D presentation. Its public product page describes no-download WebAR, links and QR codes, and category support for eyewear, headwear, earrings, shoes, scarves, necklaces, and other accessories. Its AI Try-On can also place products on a virtual model or shopper image. Best for: Brands that sell configurable products and want customization, 3D, and try-on in the same platform. Why it made the list: A shopper can configure a product and then visualize the selected design without moving into a separate system. Watch for: Zakeke labels some product categories as planned or coming soon. Confirm the exact category, device, and integration support that is live before you buy. A practical virtual try-on pilot plan Choose one category and 20 to 50 high-traffic products. Define the shopper job: style visualization, color choice, product scale, or size confidence. Prepare source images, 3D assets, product data, and variants. Write plain-language consent and image-retention copy. Set a fallback for unsupported products, failed generation, or denied camera access. Run mobile tests across common devices, browsers, lighting, skin tones, body types, and accessibility needs. Check page speed and interaction delay before launch. Use a control group when traffic permits. Measure the full funnel, including failures and return reasons. Expand only after visual quality and business results meet the agreed threshold. Privacy and quality checklist Explain whether the tool uses a live camera, uploaded image, measurements, or account history. State how long personal images are stored and whether they are used for model training. Offer a useful path for shoppers who do not grant camera or photo access. Test visual quality across skin tones, body types, face shapes, mobility needs, devices, and lighting. Do not label a visual overlay as a size or fit guarantee. Track failures and slow generations, not only completed try-ons. Connect return data to a reason code so the team can separate style, fit, quality, and changed-mind returns. The best try-on experience matches the product category and helps the shopper complete a real decision. If you want to connect visual try-on with product discovery, questions, and recommendations, explore Tolstoy AI Sales Agent . --- # Seedance 2.5 Is Now Available in Tolstoy URL: https://www.gotolstoy.com/blog/seedance-2-5-tolstoy Author: Rosalie Gill | Published: 2026-08-07 Summary: Seedance 2.5 is now in Tolstoy. Learn how to make 30-second, reference-controlled ecommerce videos with native audio, prompts, and QA tips. Quick answer: Seedance 2.5 adds longer, reference-controlled video to Tolstoy Seedance 2.5 is now available in Tolstoy AI Studio for text-to-video, image-to-video, first-and-last-frame, and multi-reference video generation. Its clearest advantage is control over a longer edit: one generation can run from 4 to 30 seconds, use native audio, and work from a much larger reference set than Seedance 2.0. Make a complete short-form edit: use up to 30 seconds for a hook, product proof, and closing beat in one generation. Bring more references: Tolstoy supports up to 30 image references and 10 audio references with Seedance 2.5. Choose the right input mode: start from text, one image, first and last frames, or a reference set. Generate sound with the picture: native audio is on by default, with the option to generate a silent clip when you plan to finish sound elsewhere. Know the tradeoff: Seedance 2.5 currently outputs 480p or 720p in Tolstoy. Use Seedance 2.0 when the final deliverable must be 1080p. Availability: Tolstoy added Seedance 2.5 to AI Studio on August 7, 2026. What is Seedance 2.5? ByteDance describes Seedance 2.5 as an audio-video joint generation model built for 30-second storytelling, precise reference control, and editing. The official release highlights smoother motion, stronger visual consistency, better interpretation of reference videos, and production controls such as camera movement, performance blocking, white-model control, and green-screen editing. For ecommerce teams, the gain is continuity. One generation can carry the product, set, visual language, shot order, and audio direction across a longer edit. That makes the model useful when a five-second animation is too short and stitching several unrelated generations would create visible continuity problems. Seedance 2.5 vs. Seedance 2.0: which should you use? Choose between Seedance 2.5 and Seedance 2.0 based on the deliverable. Decision Seedance 2.5 in Tolstoy Seedance 2.0 in Tolstoy Maximum duration 30 seconds 15 seconds Resolution 480p or 720p Up to 1080p on the standard tier Image references Up to 30 Up to 9 Audio references Up to 10 Up to 3 Best fit Longer multi-shot concepts and reference-heavy art direction Shorter work where 1080p or a smaller reference set is enough Use Seedance 2.5 when continuity across several beats matters more than maximum resolution. Use Seedance 2.0 for a shorter hero clip that must reach 1080p, or when the brief is simple enough that the larger reference surface adds no value. Where does Seedance 2.5 help ecommerce teams? Build a product story with a beginning, proof, and payoff A 20- or 30-second clip can cover more than a camera move. A skincare concept can open on the problem, move into texture and application, then end on the finished routine. A footwear ad can show the product in motion, cut to material details, and close on the full look without asking three separate generations to match. Carry more campaign references into one generation Use separate references for the exact product, palette, location, styling, shot order, and sound. Tell the model what each reference controls. One image can define product appearance, another can set lighting, and a storyboard can set the sequence. Re-describing every image in prose gives the model competing instructions and makes review harder. Turn a product still into motion-first creative Start from a clean product or campaign image and specify the motion, camera, environment, and ending state. This is the most direct route for teams that already have approved photography. If you are building that workflow for the first time, use our guide to turn product images into videos with AI as the production checklist around the model. A vertical macro frame from the official Seedance 2.5 showcase. It is a useful reference for texture-led beauty, home, and product-detail concepts. Source: ByteDance Seed . How do you use Seedance 2.5 in Tolstoy? Open Tolstoy AI Studio and name the model. Tell the Studio agent to use Seedance 2.5 so the model choice is explicit. Choose the input mode. Use text for an open concept, one image to animate an approved frame, keyframes for a defined start and finish, or reference mode when several assets have distinct jobs. Set the deliverable before the scene. Name duration, aspect ratio, placement, and whether the clip needs audio. A 9:16 paid-social cut and a 16:9 PDP hero need different framing. Write the edit in beats. Give each shot a time range, one camera move, the product action, and the transition into the next shot. Add constraints that can be reviewed. Protect product shape, packaging colors, label placement, materials, and any claims that must not change. Generate the shortest useful test first. Review product accuracy and motion before committing to a longer pass. Copy-and-paste prompt: a cinematic product film This concept uses one visual tension: gravity behaves normally everywhere except near the product. Water climbs toward it, becomes light, and resolves into a held hero frame. Upload a clean front packshot as @Image1, a three-quarter view of the same product as @Image2, and a dark mineral, water, or lighting reference without other products or readable brand copy as @Image3. Use Seedance 2.5 in reference mode. If the model or any required reference is unavailable, stop and tell me what is missing before generating. Creative premise: Gravity breaks around one hero product. A single drop of water travels upward, pulls light out of darkness, and reveals the product as if the room has been waiting for it. Deliverable: 15-second cinematic product film, 16:9, 720p, 24 fps, with native sound design. No speech, music, captions, or generated on-screen text. Reference roles: @Image1 is the source of truth for the front silhouette, packaging proportions, colors, cap, and logo position. @Image2 is the source of truth for the three-quarter geometry. @Image3 controls only the black mineral set, wet surface, hard white light, and restrained amber highlight. Do not copy products, text, or logos from @Image3. 0–4 seconds, extreme macro: In near darkness, a single water droplet moves upward across wet black stone against gravity. Follow it with one slow lateral macro slide. The product is present only as a soft, towering silhouette in the background. Use a 100 mm macro-lens feel, very shallow depth of field, realistic surface tension, and one crisp droplet sound. 4–10 seconds, low reveal: Match-cut the droplet highlight into a razor-thin white rim light tracing the real product silhouette from @Image1. Cut to the three-quarter geometry from @Image2 as concentric water ripples travel inward toward the product. Make one controlled 45-degree camera orbit. The set remains almost black; one restrained amber reflection reveals the material finish. Add a low stone resonance and a quiet sub-bass swell. 10–15 seconds, final hero: Hard cut to a centered front packshot. Make one slow push toward the product while the inward ripples stop at its base and the amber reflection narrows into a clean vertical line. Hold the final composition completely still for the last two seconds. Leave intentional negative space on the left for typography added in editing. Film language: High contrast, deep blacks, controlled specular highlights, restrained halation, subtle 35 mm grain, deliberate focus falloff, physically plausible water, and real lens behavior. The pace is tense and quiet, not glossy, fast, or euphoric. Constraints: Show exactly one product. Preserve its silhouette, cap, package proportions, colors, logo position, and material finish in every shot. Do not invent or redraw label copy. No hands, people, smoke, floating particles, extra products, subtitles, graphic overlays, neon lighting, warped reflections, morphing geometry, or logo changes. What should you check before publishing a Seedance 2.5 video? A longer generation creates more places for a product or subject to drift. Review the whole clip, not only the opening and final frame. Product fidelity: silhouette, color, label, closure, texture, and relative scale stay consistent. Continuity: product position, lighting direction, props, and motion carry cleanly across cuts. Physical errors: hands, reflections, liquid, fabric, and product edges do not warp mid-motion. Audio: dialogue, effects, and music match the right beat; replace generated sound in post when exact wording or timing matters. Claims and text: add legal copy, prices, product claims, and exact typography after generation so they remain readable and approved. Channel fit: the first two seconds work without sound, the crop survives mobile UI, and the final export matches the placement. Keep readable interface footage, exact logos, and legal copy in your editing layer. Generative video is strongest as the motion and visual layer; it should not be the source of truth for text. When should you choose another video model? Choose a different model when the brief has one of these requirements: 1080p is mandatory: use Seedance 2.0 standard or another model that supports the target resolution. The clip is a simple five-second packshot: a simpler or faster model can do the job without the larger reference surface. You need exact UI or typography: use real screen capture and deterministic editing for the truth layer. You need a photoreal real-person reference: use a model and workflow explicitly approved for that likeness use case. Seedance 2.5 may reject some real-person references. Use Seedance 2.5 for longer, controlled stories with several references. Do not use 30 seconds or 30 inputs merely because the fields exist. Add them when they solve a real continuity or art-direction problem. Create with Seedance 2.5 in Tolstoy In Tolstoy AI Studio, you can attach the product packshots and set reference, name Seedance 2.5 in the brief, review the generated clip, and keep the approved output with the rest of the campaign media. Start free with Tolstoy AI Studio and ask the agent to use Seedance 2.5 for your next product-video brief. Sources and update note: Model positioning and showcase images come from the official ByteDance Seedance 2.5 page . Background on the model family comes from ByteDance’s Seedance 2.0 launch note . Tolstoy availability, input modes, limits, and resolution support were verified against the production model roster on August 7, 2026. --- # Shopify Sidekick Integrations: Apps, Use Cases, and Tolstoy URL: https://www.gotolstoy.com/blog/shopify-sidekick-integrations Author: Rosalie Gill | Published: 2026-08-07 Summary: See how Shopify Sidekick integrations work, which apps connect today, and how Tolstoy brings media and widget context into Shopify admin. Quick answer: Sidekick integrations bring app context into Shopify conversations Shopify Sidekick integrations let supported apps surface their data and safe, scoped workflows inside Sidekick. Instead of opening every app to look for a campaign, return, review, promotion, or storefront project, a merchant can ask Sidekick a question in everyday language and approve the relevant app for that conversation. Data extensions help Sidekick search app data and answer with app-specific context. Action extensions can take the merchant to the right app screen and stage a supported change for review. Approval stays explicit: Shopify says Sidekick asks before using an installed app, and activation lasts for the current conversation. The current guide lists 18 apps: they span marketing, customer experience, promotions, products, and store operations. Tolstoy is available in Sidekick: merchants can find Tolstoy media and inspect Player and AI Widgets projects from Shopify admin. Tolstoy is now available in Shopify Sidekick. Merchants who use Tolstoy with Shopify can open Sidekick in Shopify admin and ask it to find Tolstoy media or inspect Player and AI Widgets projects. How do Shopify Sidekick integrations work? Shopify Sidekick is the AI commerce assistant built into Shopify admin. It can analyze store data, edit supported Shopify resources, create content, generate simple internal apps, and guide merchants through operational tasks. Shopify presents proposed changes for review before they take effect. Sidekick is Shopify’s native assistant. If you are trying to connect an external assistant instead, our ChatGPT and Shopify integration guide covers that separate workflow. Sidekick App Extensions connect selected data and workflows from installed apps. According to Shopify’s developer documentation , Sidekick can search an app, answer with its context, and navigate the merchant to the right place. A Sidekick app extension connects a Shopify app’s approved data or actions to Sidekick. Source: Shopify developer documentation . Sidekick capability What it does Merchant control Example Native Shopify capability Works with Shopify data and admin tasks Merchant reviews supported changes Analyze product sales or prepare an order edit App data extension Retrieves information from an installed app Merchant approves the app for the conversation Find an email campaign, product review, or Tolstoy widget App action extension Routes the merchant to a relevant app workflow and can stage a supported action Merchant confirms the change in the appropriate interface Open the correct campaign or prepare a review response “Works with Sidekick” describes a scoped extension, not unlimited app access. Each developer defines the available data or actions. Shopify currently limits Sidekick integrations to 20 apps per user on a store . Which apps work with Shopify Sidekick? Shopify launched Sidekick App Extensions with more than 15 partners in Spring 2026 and opened the framework to any developer in its ecosystem. The official Apps that work with Sidekick guide currently lists the following apps as of August 7, 2026. Category Apps in Shopify’s current guide Questions Sidekick can help route Marketing Klaviyo, TikTok, Seguno, Mailchimp, Checkout Links, Bloomreach Campaign performance, email activity, ads, and checkout-link workflows Customers Loop, AfterShip Returns, Judge.me, Smile, Yotpo Returns, reviews, loyalty, and customer feedback Promotions Abra, Discount Kit, Kitenzo Promotion performance, discounts, gifts, and bundles Products Printful, Syncee Product sourcing and catalog additions Store operations Matrixify, Avia Bulk store-data operations and in-store traffic Use Shopify’s live guide as the source of truth because the list can change. An app appearing in the Shopify App Store does not automatically mean it has a Sidekick extension. How do you use Sidekick with a third-party app? Sidekick combines a conversational interface with Shopify admin context and merchant-controlled workflows. Source: Shopify Sidekick . To use one: Install an app that supports Sidekick. Start with Shopify’s current Sidekick app guide or the app’s own release notes. Open Sidekick in Shopify admin. Sidekick is available from the admin on desktop and mobile. Ask for a job, not a feature. For example, ask “Which recent email campaigns had the highest click rate?” instead of “Use my marketing integration.” Approve the app. Shopify’s Sidekick help documentation says the app is activated for the current conversation only. Review the answer and follow the app link. For supported actions, inspect the proposed change before confirming it. If several installed apps could answer the question, Shopify says Sidekick selects the most relevant one based on app capabilities and user preferences. A specific prompt helps. Include the object, timeframe, status, or channel you care about. What should you check before relying on a Sidekick integration? A useful extension handles a few recurring jobs cleanly. Check four things before relying on one: Clear objects: Can it identify a campaign, return, review, media asset, or storefront widget without a vague prompt? Enough context: Do results include names, status, dates, source, and a direct link? Tight permissions: Can the merchant inspect data without granting unnecessary write access? A useful handoff: Does the result open the exact app screen where specialized editing, approval, or reporting happens? That last point is especially important for customer-facing content. A chat answer can find an asset or flag a draft. Creative quality, product accuracy, mobile presentation, and publication still deserve a deliberate review. How the Tolstoy Sidekick integration works Tolstoy’s Sidekick integration connects the current Shopify store to its Tolstoy media library, Player widgets, and AI Widgets projects. It helps merchants find visual content and check a storefront project’s status without searching through the Tolstoy workspace first. Inside Sidekick, merchants can search the current store’s Tolstoy media and inspect projects from Tolstoy AI Player and AI Widgets. Results include concise metadata and a direct Tolstoy link so the merchant can open the right asset or project without hunting through the library. Merchant job What the Tolstoy integration can return Example prompt Find visual assets Videos, images, or galleries matched by name or description “Find Tolstoy videos about the summer collection.” Audit live experiences Published Player widgets and AI Widgets projects for the current store “Which Tolstoy widgets are live right now?” Find unfinished work Draft widgets, optionally filtered to Player or AI Widgets “Show me draft Tolstoy AI Widgets updated most recently.” Open one project Project name, status, type, updated time, previews when available, and a Tolstoy workspace link “Open the Tolstoy widget called PDP Stories.” Visual-content work often starts with a status check: what assets exist, which experiences are live, and where the newest draft lives. Sidekick can answer those questions while Tolstoy remains the place to create, edit, review, and publish the work. When you are ready to change or publish an item, open it in Tolstoy from the Sidekick result. A practical Sidekick and Tolstoy workflow Use Sidekick to locate the work, then use Tolstoy to execute it: Ask Sidekick what already exists. Search for relevant product videos, campaign images, galleries, or storefront widgets. Check publication state. Separate live projects from drafts before planning a change. Open the exact item in Tolstoy. Review the asset, widget configuration, product connections, and storefront placement. Create or edit in the right workspace. Use Tolstoy to produce the customer-facing experience, then complete brand and product review. Publish deliberately and measure the right outcome. Verify the live storefront and evaluate downstream shopping behavior rather than treating a chat answer or media view as conversion proof. For a broader map of Shopify’s AI stack, read Shopify’s AI initiatives in 2026 . If your immediate job is building a customer-facing module, see how to create custom Shopify PDP widgets with AI . Find Tolstoy work from Shopify Sidekick Sidekick saves time when the request is specific: find the campaign, check the return, inspect the review, locate the asset, or open the right project. For Tolstoy users, that means media and widget context is available inside Shopify admin. Ask Sidekick for an asset, live widget, or recent draft, then open the matching Tolstoy item when you are ready to work on it. Explore the Tolstoy Shopify integration to connect product context, create shoppable video, manage visual media, and publish storefront experiences. Sources and update note This guide was updated on August 10, 2026. Shopify’s supported-app list and Sidekick capabilities can change, so use Shopify’s current documentation when planning a rollout. Shopify Help Center: Sidekick Shopify Help Center: Use Sidekick with third-party apps Shopify developer docs: Sidekick app extensions Shopify App Store: Apps that work with Sidekick Shopify Spring ’26 developer release --- # Shopify’s AI Initiatives in 2026: What Brands Should Do Next URL: https://www.gotolstoy.com/blog/shopify-ai-initiatives-2026 Author: Rosalie Gill | Published: 2026-08-05 Summary: A practical guide to Shopify’s 2026 AI initiatives, from Sidekick and Agentic Storefronts to Magic, SimGym, and where Tolstoy fits. Quick answer: Shopify is building an AI commerce operating system Shopify’s 2026 AI strategy now covers the full commerce loop: run the business with an assistant, create and edit the store with prompts, distribute products into AI channels, help shoppers buy through conversations, test storefront changes with simulated shoppers, and give developers an agent-ready platform. Agentic Storefronts, Shopify Catalog, and UCP put product discovery and checkout into AI conversations. Sidekick is becoming the conversational control layer for Shopify admin work and connected apps. Shopify Magic brings AI generation into product copy, images, email, themes, and theme blocks. SimGym, Rollouts, search, and Shopify Inbox apply AI to storefront testing and shopping assistance. Shop and personal-agent integrations give buyers new conversational ways to discover products. Catalog API, MCP, UCP, and Shopify AI Toolkit make the platform easier for agents and developers to extend. The practical takeaway for brands is clear. Shopify is building the infrastructure. Merchants still need accurate product context, distinctive creative, brand review, useful onsite experiences, and a measurement loop. That is the layer where Tolstoy fits. Shopify’s AI strategy at a glance Use this map to separate Shopify’s platform work from the operating work your team still owns. Initiative What Shopify provides What the brand still owns Where Tolstoy helps Agentic Storefronts, Catalog, and UCP Structured product discovery and commerce across AI channels Complete product data, differentiated stories, accurate claims, and a strong landing experience AI-generated product content, shoppable media, and onsite guidance after discovery Sidekick A store-aware assistant for Shopify admin tasks and supported apps Priorities, approvals, brand judgment, and customer-facing execution A conversational workflow for creating, reviewing, publishing, and measuring visual content Shopify Magic Text, media, theme, and theme-block generation inside Shopify Product fidelity, creative direction, campaign variants, and cross-channel reuse Brand-trained images, videos, ads, PDP assets, and bulk creative workflows SimGym and storefront AI Simulated theme analysis, assisted search, and conversational selling tools Real-world testing, richer product education, and conversion decisions Shoppable video, AI widgets, personalized media, and asset-level experimentation Shop and personal agents Conversational product discovery using Shop context A consistent brand experience when the shopper reaches an owned surface Onsite recommendations, product answers, UGC, video, and add-to-cart guidance AI-native developer platform Agent protocols, commerce APIs, MCP servers, and AI-assisted development Useful customer workflows and connections beyond Shopify’s core data MCP access to content, media, and shoppable-experience workflows 1. Agentic Storefronts, Shopify Catalog, and UCP move commerce into AI channels This is Shopify’s largest strategic move. The company is turning AI assistants into storefronts where shoppers can discover products, compare options, build a cart, and move toward checkout. Shopify’s Agentic Storefronts dashboard brings AI-channel controls, performance, and search visibility into the admin. Source: Shopify Spring ’26 Edition . Shopify Agentic Storefronts lets merchants manage how eligible products appear across supported AI channels from the Shopify admin. Shopify’s 2026 announcements name ChatGPT, Microsoft Copilot, Google AI Mode, and Gemini among those surfaces, with availability depending on channel, region, product eligibility, and rollout status. Three components make the system work: Shopify Catalog structures and enriches product data so agents can retrieve products by intent. Universal Commerce Protocol (UCP) defines how agents and merchants communicate across discovery, carts, checkout, and orders. Agentic Storefronts gives merchants a central place to manage channel participation and monitor AI-channel activity. Shopify’s Spring ’26 developer update says UCP and Catalog API are now available as self-serve infrastructure for developers. That widens the field beyond a small group of approved partners. What brands should do Start with product truth. Clear titles, complete attributes, accurate variants, current price and inventory, comparison details, and consistent policies give agents better material to work with. Then review the experience a shopper reaches after the AI channel sends them to your store. Catalog inclusion does not create differentiation by itself. Two products with similar structured data can still feel interchangeable to an assistant. Brands need content that explains use cases, demonstrates the product, answers objections, and gives the shopper a reason to choose. Where Tolstoy fits Tolstoy AI Studio helps teams create product-specific images, videos, ads, and PDP assets from catalog data and brand context. AI Player publishes approved video and UGC as shoppable storefront experiences. AI Sales Agent gives the visitor an onsite path to ask follow-up questions, get recommendations, and add products to cart. Shopify handles distribution into AI channels. Tolstoy helps the brand make the product easier to understand, trust, and buy when the shopper reaches an owned experience. 2. Sidekick is becoming the merchant’s conversational control layer Sidekick began as an assistant for questions and store tasks. In 2026, Shopify is pushing it toward a store-aware operating interface. Sidekick combines a Shopify-aware chat interface with merchant tasks such as storefront customization. Source: Shopify Sidekick . Shopify’s current Sidekick documentation shows the assistant filling forms, editing products and collections, preparing order changes for review, creating task lists, editing theme settings, and working with supported third-party apps. Shopify also introduced Sidekick Pulse, which researches store data and surfaces proactive recommendations when available. Sidekick App Extensions matter for the ecosystem. Supported apps can expose data or actions inside a Sidekick conversation, so a merchant can ask a question without opening every app separately. Shopify’s Spring ’26 release moved those extensions from preview into the wider developer ecosystem. What brands should do Treat Sidekick as an execution interface with human approval, not as the owner of strategy. Give it narrow jobs with clear inputs: find the products missing key fields before an AI-channel launch; prepare a collection or discount for review; summarize store data before a merchandising decision; stage a theme change, then inspect it on desktop and mobile; pull context from supported apps without switching tabs. The merchant still decides what deserves attention, what is safe to publish, and how the work should sound and look. Where Tolstoy fits Sidekick operates the Shopify business layer. Tolstoy operates the visual-content and shoppable-experience layer. In AI Studio, a team can connect catalog data, Brand DNA, approved references, and campaign files; generate assets; review or regenerate them; and publish approved work into ecommerce surfaces. That separation is useful. Sidekick can help identify the business task. Tolstoy gives creative, ecommerce, and agency teams a focused place to execute the customer-facing content and experience. 3. Shopify Magic makes generation native to everyday commerce work Shopify Magic is the umbrella for AI features embedded across Shopify. It can generate suggestions for product descriptions, pages, blog posts, email subject lines, Shopify Inbox replies, and theme copy. It also supports media editing, free personalized theme generation, and prompt-generated theme blocks. This lowers the starting cost of routine creation. A merchant can remove an image background, draft a description, generate a hero banner, or ask for a custom Liquid block without leaving Shopify. Shopify demonstrates product-image generation inside Sidekick; Shopify documents media generation as part of the wider Magic suite. Sources: Shopify Sidekick and Shopify Magic . Shopify’s own guidance includes the correct warning: the merchant remains responsible for accuracy. Generated product copy can invent a benefit or reuse a fact that applies to a similar product. Generated theme blocks can create accessibility, performance, or code-quality issues. Review remains part of the workflow. What brands should do Use Shopify Magic for contained tasks that benefit from store context and stay easy to verify. Give each prompt the actual product details, intended customer, required claims, forbidden claims, brand terms, and channel. For a skincare product, for example, the prompt should include the real ingredients, skin types, usage instructions, and approved claims. A generic request for “premium skincare copy” gives the model too much room to improvise. Where Tolstoy fits Shopify Magic is useful for one-off generation inside the admin. Tolstoy AI Studio is built for a broader creative production loop: reusable brand context, images and video, campaign variants, review, bulk generation, and publishing across PDPs, email, social, and ads. For a consumer packaged goods team, that can mean turning an approved package shot into several realistic lifestyle scenes, a short product video, a PDP demonstration, and campaign variants while keeping packaging, ingredients, and claims under review. The goal is consistent output across the launch, not a folder of unrelated AI assets. 4. Shopify is applying AI to storefront testing, search, and selling Shopify’s storefront AI work now goes beyond generation. SimGym , currently labeled an AI Research Preview, sends simulated shoppers through a Liquid storefront. It can analyze one theme or compare a live theme with a draft, then return qualitative feedback and a simulated add-to-cart comparison. Shopify explicitly notes that simulated behavior can differ from real buyers and that Hydrogen and headless storefronts are not supported in the preview. SimGym compares storefront themes with simulated shoppers before a live change. Source: Shopify App Store . Shopify labels the product an AI Research Preview. Shopify’s Spring ’26 Edition also highlights improved storefront search, an AI sales associate in Shopify Inbox, and Rollouts for scheduling and A/B testing theme or checkout changes. Together, these features point to a new workflow: generate a storefront idea, inspect it with AI, stage it, and validate it with real traffic. What brands should do Use simulated feedback to find hypotheses, then use live customer behavior to decide. A simulated shopper can reveal confusing navigation, weak product context, or a broken path to cart. It cannot establish incremental conversion or revenue. Keep each test narrow. Change one major variable at a time, define the expected behavior before launch, and measure the downstream action that matters. For a PDP, that might be qualified add-to-cart rate or conversion, not video plays alone. Where Tolstoy fits Tolstoy AI Player adds shoppable video feeds, product stories, interactive media galleries, and custom PDP widgets to the storefront. Teams can connect product data, approved UGC, reviews, and brand context, then compare creative or placement variants based on real interactions. SimGym can help identify where the storefront needs work. Tolstoy helps build and test the media or guided experience that addresses the issue. Live traffic still decides whether the change earns a wider rollout. 5. Shop is becoming a conversational shopping surface Shopify is also building AI for the buyer. Its Spring ’26 Edition describes conversational discovery in the Shop app, with recommendations shaped by a shopper’s tastes and Shop history. Shopify is also opening Shop capabilities to supported personal AI agents so a shopper can discover products and approve purchases through an agent they already use. Shop’s conversational search lets buyers describe what they want in natural language. Source: Shopify Spring ’26 Edition . This creates another entry point into the buying journey. A product may be discovered in Shop, an external AI assistant, a personal agent, or the brand’s own storefront. Product identity and policy accuracy need to remain consistent across all of them. What brands should do Map the questions that occur after discovery. A shopper who finds a supplement through an agent may still ask about routine, flavor, subscription terms, dietary fit, or delivery timing on the merchant site. A skincare shopper may want to compare ingredients or build a regimen. The product feed gets the item into consideration; the owned experience must help the buyer decide safely. Where Tolstoy fits Tolstoy AI Sales Agent gives the brand an onsite sales agent trained on catalog and brand context. It can answer product questions, recommend items, and support in-chat add-to-cart on the storefront. AI Player gives those answers a visual layer through product video, UGC, guides, and interactive PDP modules. This is an owned complement to Shop and external AI channels. The conversation can continue on the brand’s site with its product context, creative, guardrails, and merchandising priorities. 6. Shopify is rebuilding its developer platform for agents Shopify’s AI strategy also targets the people building commerce software. Shopify AI Toolkit gives supported coding agents Shopify-aware context and actions. Source: Shopify Spring ’26 Edition . The Spring ’26 developer release made UCP and Catalog API self-serve, opened Sidekick App Extensions to developers, and moved Shopify AI Toolkit to general availability. The toolkit gives supported coding agents access to Shopify reference material, store data, admin tools, skills, and CLI commands. Shopify also provides UCP-compatible MCP servers for product discovery, carts, checkout, and order state. This turns the developer platform into something an AI agent can query and act through, instead of a documentation set a human must translate line by line. What brands and agencies should do Use the developer stack when the job truly needs custom software or agent access to commerce actions. A clear architecture separates three kinds of context: Commerce truth: products, variants, inventory, carts, checkout, orders, and policies. Brand truth: approved claims, tone, imagery, creative references, and audience context. Experience actions: create content, publish media, configure a widget, review performance, or launch a variant. Shopify’s APIs and agent tools are strongest in the first layer. The second and third layers depend on the systems your team uses around Shopify. Where Tolstoy fits Tolstoy MCP connects supported AI clients to Tolstoy’s content, media, and shoppable-experience workflows. Shopify’s AI Toolkit helps an agent work correctly with Shopify. Tolstoy MCP gives that agent a path into customer-facing creative and visual-commerce work. For a deeper technical comparison, read Shopify AI Toolkit vs. MCP for ecommerce teams . What Shopify’s AI stack still leaves to brands Shopify’s releases remove a large amount of infrastructure work. They do not remove five operating responsibilities. Product truth: complete, current, and specific product data. Creative differentiation: visual stories and demonstrations that give shoppers a reason to choose. Brand and claim review: a human decision about what is accurate and safe to publish. Owned conversion experience: useful product answers, recommendations, media, and cart paths on the brand’s site. Measurement: a test design that connects AI activity to qualified customer behavior. This is especially visible in CPG. Food, beverage, beauty, skincare, wellness, supplement, and pet brands need more than generic product renders. They need correct packaging, believable use contexts, ingredient and claim discipline, product education, and enough variants to support launches without sending every request through a new production cycle. For these teams, the winning workflow connects product truth to creative production, approval, publishing, shopper guidance, and learning. How Tolstoy completes the Shopify AI workflow Tolstoy brings four connected products to the work Shopify leaves closest to the customer: Tolstoy connects visual creation, shoppable media, and onsite shopping guidance around the commerce infrastructure Shopify provides. AI Studio : create on-brand product images, videos, UGC-style assets, PDP content, and ad variants from catalog and brand context. AI Player : publish shoppable video, product stories, dynamic media galleries, and custom widgets across ecommerce surfaces. AI Sales Agent : answer questions, recommend products, and guide shoppers toward cart on the brand’s storefront. Tolstoy MCP : connect AI clients to approved content and shoppable-experience workflows. The combined operating loop looks like this: Shopify supplies the catalog, transactions, admin context, and external AI-channel infrastructure. Tolstoy turns product and brand context into reviewable creative. Approved assets become shoppable media, PDP modules, ads, email content, and social variants. AI Sales Agent and AI Player help the visitor understand and act on the product. Real customer behavior informs the next creative or experience test. That is a more useful definition of an AI commerce stack than a list of generators. Each layer has a clear job, and the brand keeps approval over what shoppers see. A 90-day Shopify AI action plan Days 1 to 30: audit the foundation Review Agentic Storefronts settings, channel availability, and product eligibility. Audit priority product titles, attributes, variants, availability, policies, and comparison context. List the top shopper questions for each priority category. Document approved brand references, product claims, and forbidden claims. Choose one business task for Sidekick and one customer-facing task for Tolstoy. Days 31 to 60: build one complete journey Create a small set of reviewable visual variants for a priority product or collection. Publish one shoppable media or guided PDP experience. Pilot onsite product questions and recommendations on a bounded category. Connect the generated work to an actual campaign, PDP, or launch instead of leaving it in a concept folder. Run product, brand, mobile, accessibility, and claim review before traffic reaches it. Days 61 to 90: test and learn Use SimGym or a structured review to find friction, treating simulated feedback as directional. Run a live test with one primary variable and one downstream success metric. Compare qualified product interactions, add-to-cart behavior, and conversion, not views alone. Feed real shopper questions back into product data, creative briefs, PDP content, and AI Sales Agent context. Scale only the workflow that survives product review and live customer evidence. A Shopify AI strategy needs to connect infrastructure to customer experience Shopify is making AI native to commerce operations, development, discovery, and checkout. That gives brands a strong foundation and removes a growing amount of integration work. The competitive work moves closer to the customer: accurate context, distinctive product stories, fast creative iteration, useful onsite guidance, and disciplined testing. Tolstoy gives Shopify brands one connected place to create that content, publish it into shoppable experiences, guide buyers, and learn from what they do. Want to turn Shopify’s AI infrastructure into customer-facing creative and shopping experiences? Start with Tolstoy for free . Sources and status notes This article reflects public product information available on August 5, 2026. Feature availability can vary by store, plan, market, channel, and preview status. Shopify Spring ’26 Edition for merchants Shopify Spring ’26 Edition for developers Shopify’s agentic commerce platform announcement Shopify Magic documentation Sidekick help and guidance SimGym documentation and preview limitations Shopify agentic commerce developer documentation --- # AI Sales Assistant vs Support Chatbot for Shopify URL: https://www.gotolstoy.com/blog/ai-sales-assistant-vs-support-chatbot-shopify Author: Rosalie Gill | Published: 2026-07-27 Summary: Compare AI sales assistants and support chatbots for Shopify, see where Gorgias, Intercom, Rep, and Tolstoy fit, and choose the right stack. Quick answer A support chatbot is built to resolve customer-service work. An AI sales assistant is built to help a shopper make a buying decision. For a Shopify store, the cleanest setup often uses both: the sales assistant handles product discovery, recommendations, fit, and cart building; the support system handles order status, returns, account changes, and human escalation. Start with support if repetitive post-purchase questions are filling the queue. Start with a sales assistant if shoppers need help choosing between products, sizes, shades, routines, or outfits. Do not choose by product label alone. Gorgias, Intercom, Tidio, Rep, and other vendors now cover parts of both jobs. Test the action after the answer: recommend a product, update a cart, look up an order, process a return, or hand off to a person. The chat window is not the strategy A shopper can ask, "Which moisturizer works for oily skin?" and follow it five minutes later with, "Where is my last order?" Those questions look similar in a chat transcript. They require different data, different permissions, and different measures of success. The useful way to compare an AI sales assistant with a support chatbot is to ask what the system must do after it understands the question. That exposes the difference between a polished answer and a working ecommerce workflow. The difference is the job after the answer A support chatbot is optimized for resolution. It needs access to policies, order and account context, ticket history, and a dependable path to a human. An AI sales assistant is optimized for decision support. It needs trustworthy catalog data, merchandising logic, inventory awareness, product media, and shopping actions. What to compare Support chatbot AI sales assistant Primary job Resolve a service issue Help a shopper decide what to buy Typical questions Order status, shipping, returns, cancellations, subscriptions Product fit, comparisons, routines, sizing, shades, bundles, styling Critical data Customer identity, orders, policies, tickets, account history Catalog, variants, inventory, product attributes, brand and merchandising rules Useful actions Track or modify an order, start a return, create a ticket, escalate Recommend, compare, try on, build a look, add products to cart Failure to avoid Exposing account data or blocking access to a human Recommending the wrong product, size, shade, price, or availability Core success measure Correct resolution with an acceptable customer experience More shoppers reaching a confident product or cart decision The categories overlap. A support platform may recommend products, and a sales agent may answer a shipping-policy question. The distinction still matters because the risky actions sit in different places. A plausible product suggestion is not the same as an authenticated order change. Which competitors span support and shopping? The market no longer splits neatly into "support bot" and "sales bot." Use the map below as a starting point, then verify the current feature, integration, and pricing details with each vendor. Platform Where it is strongest What a Shopify team should test Gorgias AI Agent Ecommerce support operations, Shopify-aware service actions, and a growing pre-purchase shopping assistant Order tracking, returns, edits, human handoff, product discovery, and whether one agent can cover both roles cleanly Intercom Fin Customer service with configurable service, sales, and ecommerce roles across a broader helpdesk stack Escalation rules, channel coverage, knowledge quality, Shopify integration, and how roles switch during one conversation Tidio Lyro Support automation and human handoff, with shopping recommendations and Shopify cart actions Order-status workflows, ticket creation, product-feed accuracy, out-of-stock handling, and add-to-cart behavior Rep AI Proactive ecommerce conversations that combine sales and support Trigger logic, product recommendations, brand control, shopper context, and support escalation Manifest AI Shopify shopping assistance, quizzes, buyer-objection handling, and product recommendations Catalog setup, recommendation quality, multilingual answers, inbox workflow, and handoff to a person This is not a ranking. It is a buying shortcut. If authenticated order work is the urgent problem, start the evaluation with the support workflow. If product choice is the urgent problem, start with the shopping experience and make support handoff a requirement. Choose a support chatbot first when service work is the bottleneck A support-first rollout makes sense when the team is buried in repeat questions, customers wait too long for basic answers, or agents spend their day moving between Shopify and the helpdesk. Give the support system the work that depends on customer identity or operational authority: "Where is order #1842?" "Can I change the shipping address?" "Start a return for the second item." "Why was my subscription renewed?" "I need an exception to the return policy." Judge the pilot on correctness, containment, escalation quality, and the time it saves the support team. A high automated-response count is weak evidence if customers still repeat themselves when a person takes over. Choose a sales assistant first when product choice is the bottleneck A sales-first rollout makes sense when shoppers reach a product page but still need the kind of help they would get from a strong store associate. The best starting questions are specific to the catalog: "Which serum should I use with retinol if my skin is sensitive?" "Will this top work for a business dinner?" "What size should I choose with these measurements?" "Show me a jacket and shoes that work with this dress." "Compare these two products and add the better option to my cart." These are merchandising questions. The agent has to understand the shopper's constraint, retrieve eligible products, explain the choice, and make the next shopping action easy. Generic FAQ answers will not carry the experience. What Tolstoy AI Sales Agent actually does Tolstoy AI Sales Agent is the pre-purchase layer in this stack. It combines product Q&A with visual shopping tools and commerce actions. The point is to help the shopper move from "I am not sure" to a product, look, or cart they understand. Product questions and recommendations AI Sales Agent can use catalog and brand context to answer product questions, suggest products, and show common questions directly on a product detail page. Teams can add instructions and knowledge sources, shape the communication style, and review where answers need more context. That last step matters. In one recent customer call, a beauty brand found that a recommendation for oily, acne-prone skin did not match the team's product expertise. The fix was not more confident copy. The team needed better product guidance in the knowledge base and a clean way to test the answer again. Recommendation quality should be part of launch QA, not a post-launch surprise. Virtual try-on turns a product question into a visual decision For supported categories, virtual try-on lets a shopper upload a photo or use an approved model to see a product in context. Fashion shoppers can visualize apparel and accessories. Beauty shoppers can test relevant try-on experiences. Size guidance can sit beside the visual flow when the brand has the right product and measurement data. Virtual try-on can sit inside the buying flow with size guidance and complementary product discovery. The useful standard is product fidelity, not novelty. Test shape, color, pattern, crop, available sizes, mobile layout, and the quality of ordinary phone photos. Keep the experience in a preview theme until the brand is comfortable with the output. Complete the Look makes cross-selling visual Complete the Look starts with an item the shopper already likes. AI Sales Agent can then build around it: Use the selected product as the anchor item. Recommend complementary categories from the live catalog, such as pants, a jacket, shoes, or accessories. Apply brand rules to the pairing logic. A merchandiser might specify which shoes work with a long dress or which products should never appear together. Generate the updated outfit so the shopper can see the combination. Let the shopper swap pieces, update the look, and add the selected items to cart. This is the part ecommerce teams tend to react to. In recent customer demos, the conversation quickly moved from "that is cool" to the useful questions: How does the pairing logic work? Can our merchandisers control it? Can we test it in a preview theme? Can the shopper add the whole set to cart? Those questions explain the appeal better than a feature list. The experience turns cross-selling from a row of "you may also like" cards into a look the shopper can evaluate. Availability and setup can vary by catalog and storefront, so brands should confirm the exact workflow in a scoped pilot. Try-on context can make Klaviyo follow-up more relevant When a shopper has consented to marketing, try-on activity can also inform a Klaviyo flow. Instead of sending the same browse or cart reminder to everyone, the brand can use the product or outfit the shopper viewed as part of the follow-up. Keep the lifecycle rules in Klaviyo, respect consent, and avoid overlapping abandonment messages. AI Sales Agent provides useful shopping context; it should not silently rewrite the brand's contact policy. Route sales and support together A shopper should not have to understand your org chart. Give the experience one visible entry point if that suits the storefront, but define ownership behind it. Shopper asks Best owner Expected next action "Which shade works with my undertone?" Sales assistant Ask a clarifying question and recommend eligible products "Build an outfit around this top." Sales assistant Complete the look and add selected items to cart "Has my order shipped?" Support chatbot Authenticate, retrieve order status, and explain the next step "Make an exception to the return policy." Human support Hand over with the conversation and account context intact "Recommend a dress, and cancel my old order." Split workflow Handle discovery in sales, then route the authenticated order action to support Recent sales conversations around AI Sales Agent have reinforced this boundary directly: it is a sales agent, not a substitute for a full customer-service operation. It can work beside an existing support stack, but the exact integration, handoff, and account actions should be proven with the tools and permissions your store already uses. A practical pilot checklist Choose one sales job and one support job. For example, product recommendation and order status. Write the routing rule. Decide when the shopping assistant answers, when support takes over, and when a human is required. Clean the source data. Check product attributes, variants, inventory, pricing, policies, help content, and merchandising rules. Test hard questions. Include ambiguous needs, unavailable products, policy exceptions, incorrect assumptions, and requests that cross the sales-support boundary. Run the storefront experience in preview. Check mobile layout, accessibility, page speed, product fidelity, cart contents, and escalation behavior. Measure each job separately. Support needs resolution and handoff metrics. Sales needs product-engagement and cart-progression evidence. Do not combine them into one vague "chatbot performance" number. See AI Sales Agent in your store Bring one high-traffic PDP and the support platform you already use. Tolstoy can map the sales questions, support handoff, virtual try-on, and Complete the Look flow in a scoped storefront walkthrough. Book an AI Sales Agent walkthrough The right stack is the one that can complete the work safely. For many Shopify brands, that means a support system for service operations and a dedicated shopping layer for product decisions. The cleaner the boundary, the easier both systems are to test and improve. --- # How to Turn One Ecommerce Ad Into a Landing Page A/B Test URL: https://www.gotolstoy.com/blog/ai-landing-page-generator-ecommerce Author: Rosalie Gill | Published: 2026-07-21 Summary: Use Tolstoy's Widget Builder to turn one ecommerce ad into matched landing-page variants, run clean A/B tests, and build a CRO learning loop. Quick answer Start with one approved ecommerce ad and one test question. Use Tolstoy's Widget Builder inside Website projects to create as many matched landing-page variants as you need. Then run a control against one meaningful challenger, measure the same outcome, and carry the learning into the next test. One ad: keep the campaign promise, product, audience, and offer fixed. Many possible variants: build proof-first, offer-first, objection-first, or audience-specific pages. One readable test: activate the control and strongest challenger first. One reusable learning: record which page story worked, for whom, and under which offer. The operating rule: build as many variants as you need; test one clear question at a time. Why this matters Every campaign click is a chance to learn what makes a shopper act, but only when the ad, landing page, and result stay connected. Tolstoy powers that CRO learning loop: start with an approved ad, build matched landing-page variants, publish a controlled test, and use the result to brief the next page. The useful outcome is a repeatable build, test, learn, and improve cycle that preserves product accuracy, brand consistency, and a clean measurement plan. 1. Turn the winning ad into one test question The landing page should feel like the next frame after the click. Before generating a page, write down the exact promise that earned attention and the decision the page needs to make easier. Test question: For this ad, audience, product, and offer, does [page story A] or [page story B] make the next action clearer? For example: does a product-proof page or an objection-handling page produce more qualified add-to-cart actions from the same Meta ad? Lock these inputs before building: the source ad creative, headline, primary text, and destination; the audience and the specific desire or problem named by the ad; the real SKU, variant, price, inventory state, and approved offer; approved product media, UGC, reviews, specifications, and policies; the primary CTA, decision metric, and event that records it. Google Ads recommends matching the landing page to the ad, keywords, and call to action . If the page introduces a new discount, promise, or product claim, it is no longer a clean continuation of the campaign. 2. Build many landing page variants, then test them cleanly Page production and test design are different jobs. The Widget Builder can remove the production bottleneck without forcing every concept into the same experiment. Variant What changes Question it answers When to activate it Control The current approved page What happens today? Every test Challenger A: proof first Demo, real UGC, verified review, or product evidence appears first Does the shopper need more belief? Test 1 Challenger B: offer first The confirmed bundle, price, promotion, or shipping threshold appears first Does the shopper need clearer value? Hold for the next test Challenger C: objection first Fit, ingredients, compatibility, shipping, or returns appears first Does the shopper need less risk? Hold for the next test Create ten variants if ten strong hypotheses are worth exploring. The first live comparison can still be a simple A/B test. After the strongest challenger is measured, promote the winner to control and activate the next challenger. Shopify's A/B testing guide recommends comparing a control with a variation when the goal is to isolate what caused the result. Multi-variant tests can work, but only when traffic volume, assignment, and analysis support them. 3. See one ad become two landing page directions Begin with the source ad, then decide which post-click story you want to test. The campaign promise, product, audience, and offer should remain recognizable on both pages. These complete pages use the same campaign ingredients but organize them around different shopper questions. Test element Variant A Variant B Opening hierarchy Product, price, benefits, proof, and CTA Campaign story, use sequence, then product and CTA Question being tested Does faster access to the offer make the next step clearer? Does a stronger continuation of the ad make the next step clearer? Keep fixed Source ad, audience, product, approved offer, primary CTA, traffic source, checkout path, and measurement plan The useful output is a clear answer to one question: which page hierarchy helps the same shopper understand and act on the same campaign promise? 4. Build, publish, and measure with Tolstoy's Widget Builder Tolstoy Website projects include landing-page templates inside the Widget Builder, part of AI Player's toolkit for building shoppable onsite experiences . The practical workflow is: Ask: provide the approved ad, product facts, audience, offer, proof, brand rules, and test question. Build: create as many page variants as the test plan needs and give each one a distinct content hierarchy. Preview: review the real page experience on desktop and mobile before sending traffic. Publish: publish the experience to a hosted Tolstoy website URL and open a specific variant through its variant URL. Measure: track page views and CTA activity by variant, then connect the relevant downstream commerce events. The builder accelerates page creation. Your experiment design still controls traffic allocation, variant assignment, the primary metric, and the stopping rule. Verify those connections and the checkout handoff before launch. Shopify-theme publishing is a separate implementation path from a hosted Tolstoy landing page. Related guide Want to extend the same workflow beyond campaign pages? See how to turn prompts and brand context into custom Shopify widgets for PDP stories, quizzes, product finders, and shoppable modules. 5. QA every landing page variant before sending traffic Use the same review standard for every variant. Fast generation is useful only when product truth and measurement survive the speed. Message match Can a shopper recognize the source ad in the first screen? Does the page preserve the approved promise, audience, and offer? Is the variant changing one decision path instead of changing the whole campaign? Product and brand Are the SKU, variant, price, availability, ingredients, specifications, and policies accurate? Are UGC, reviews, and product claims real and approved for this use? Does the page use the brand's real voice, visual system, and prohibited-language rules? When a challenger needs new campaign-ready images or video, AI Studio can create assets from brand and product context . Keep every output inside the same claim and product-truth review before publishing. Experience and measurement Does mobile preserve the product, promise, and primary CTA? Do every CTA, product link, variant selector, cart action, and checkout handoff work? Do page-view, CTA, add-to-cart, and purchase events preserve the traffic source and assigned variant? Is the assignment stable so a shopper does not switch variants mid-test? Related guide Before approving a challenger, use this product-truth checklist for AI-generated ecommerce content to verify claims, reviews, visual accuracy, and SKU details. 6. Turn the result into the next landing page test A useful result explains the shopper decision, not only which URL won. Name the winner. Record the control, challenger, audience, offer window, and primary outcome. Write the learning. State which page story made the decision clearer and for whom. Check guardrails. Confirm that the apparent win did not create problems later in the funnel. Promote and repeat. Make the winner the new control and activate the next strong hypothesis. That is where variant volume becomes valuable. The Widget Builder gives the team more ideas to test; the sequence of controlled comparisons turns those ideas into reusable evidence. 7. Close the CRO learning loop A landing-page A/B test matters when its result changes the next decision. Tolstoy gives teams a way to run that work as one loop: bring in the approved campaign and commerce context, create and publish the variants, measure the shopper response, and turn the learning into the next challenger. Tolstoy's current workspace integration catalog includes 41 connections across commerce, ads, analytics, content, reviews, support, and retention. That broader context includes systems such as Shopify, Meta Ads, TikTok Ads, Google Analytics, Triple Whale, Google Drive, Canva, Klaviyo, Gorgias, Yotpo, Judge.me, and Okendo. Which systems feed a specific test still depends on the workspace setup and measurement plan. The operating principle stays simple: keep each comparison controlled, write down what changed the shopper's decision, and use that evidence to make the next page better. Ready to build the first challenger? Open Tolstoy's Website templates with the exact ad, product facts, audience, offer, and proof your team has already approved. --- # How to Fix Inaccurate AI Product Recommendations URL: https://www.gotolstoy.com/blog/how-to-fix-inaccurate-ai-product-recommendations Author: Rosalie Gill | Published: 2026-07-21 Summary: Use this practical QA loop to diagnose inaccurate AI product recommendations, correct the right source, retest edge cases, and improve shopper answers. Quick answer Fix inaccurate AI product recommendations by tracing each bad result to its source. Capture the exact shopper question, define the acceptable product set, compare it with the actual answer, classify the failure, correct the smallest source that caused it, and retest the same decision. Start with evidence: use a real session, not a hypothetical prompt. Classify the failure: separate product facts, availability, relevance, instructions, knowledge, and handoff. Fix the source: update the catalog, PDP, knowledge, custom response, recommendation instruction, or support path. Retest nearby cases: check the original question, a paraphrase, an unavailable variant, and one edge case. Monitor the pattern: track recurring questions and unresolved gaps separately from recommendation quality. The operating rule: correct the source of the bad recommendation, then rerun the shopper decision that exposed it. Why this matters A shopper asks for a fragrance-free moisturizer under $50. The assistant returns a fragranced product that costs $62. Tightening the prompt might hide the symptom, but it will not repair stale prices, incomplete product attributes, weak recommendation logic, or missing policy context. A useful QA process shows the team exactly where to make the correction. It also creates a record of what the shopper wanted, what the assistant returned, who owns the source, and whether the fix survived retesting. 1. Start with a real bad recommendation Begin with the conversation that exposed the problem. Copy the shopper's exact wording and capture the products or answer the assistant returned. Summaries such as “recommendations seem off” are too vague to diagnose. Write the expected result before changing anything. The expected result can be one product, a short acceptable set, or a safe handoff. A merchandising team rarely needs one mathematically perfect SKU; it needs results that respect the shopper's real constraints. QA field Example Shopper question “I need a fragrance-free moisturizer under $50 for sensitive skin.” Expected result Only fragrance-free moisturizers priced below $50 with clear sensitive-skin context. Actual result A $62 fragranced moisturizer appeared first. Open question Is the product data wrong, did retrieval ignore the constraints, or did the assistant infer an unsupported match? Preserve the session or message reference with the record. If the same issue appears again, the team can compare the two failures instead of starting a fresh investigation. 2. Classify the failure before you edit Most inaccurate recommendations fall into six categories. The category determines the source and owner of the fix. Failure type What the shopper sees What to verify first Likely owner Product fact Wrong material, ingredient, compatibility, size detail, or price Catalog fields, variant data, PDP copy, and product-specific knowledge Ecommerce or merchandising Availability An unavailable product or variant is presented as buyable Inventory tracking, variant availability, and storefront state Ecommerce operations Relevance The product is real, but it does not satisfy the shopper's intent Seed product, shopper constraints, recommendation mode, and candidate quality Merchandising Merchant instruction The answer conflicts with a current assortment or merchandising rule Recommendation instructions and whether they are broad, current, and compatible Merchandising Knowledge or policy The product may fit, but the surrounding answer about shipping, returns, care, or use is wrong Approved knowledge files, URLs, custom responses, and source freshness Support or ecommerce Handoff The assistant continues guessing when a person should take over Support boundaries, contact destination, and handoff behavior Support One session can contain more than one failure. A recommended product might be relevant, while the answer gives an old price and promises a delivery date the assistant cannot verify. Record each failure separately so one correction does not create a false pass. 3. Trace the problem to the right source Use a source ladder. Check the most authoritative product source first, then move outward to recommendation behavior and support policy. Catalog, PDP, and variant facts Price, options, product attributes, imagery, and availability should come from current product data. If the source says a garment is linen when it is cotton, an assistant-level correction leaves the bad fact available to every other surface. Start with product truth If the failure begins with thin or contradictory product data, use this AI-ready Shopify PDP checklist before tuning recommendation behavior. Approved knowledge and custom responses Policies, size guidance, product-use instructions, and recurring questions may live outside the core catalog. Add the approved source as a knowledge file or URL. For a repeatable question that needs a controlled answer, use a custom response and scope it to the relevant products when appropriate. Keep ownership visible. A returns answer belongs to support or operations. An ingredient claim belongs to product or merchandising. The team that approves the fact should approve the correction. Recommendation engine and merchant instructions Recommendation behavior is the right layer when the product facts are correct but the candidate set is weak. Check which engine powers the suggestions, which recommendation mode is being used, and whether merchant instructions are helping or competing with the shopper's constraints. Use instructions for durable merchandising guidance, such as prioritizing relevant bestsellers or matching accessories. A growing list of SKU exceptions becomes hard to reason about and can mask a catalog or taxonomy problem. Support boundaries Some requests need a person: an unusual compatibility question, an account-specific exception, a safety concern, or a policy decision outside the approved knowledge. Define the handoff path and test it as part of recommendation QA. 4. Make the smallest supported correction A correction should be narrow enough to explain. Use these rules to keep the change reviewable: Repair facts where they originate. Update the catalog, variant, PDP, or approved knowledge source that contains the incorrect information. Use a custom response for a stable question-and-answer pattern. Write the approved answer in plain language and apply product scope when the answer is product-specific. Keep recommendation instructions short and general. State the merchandising priority without trying to encode the entire catalog in one instruction field. Remove expired guidance. Seasonal priorities, promotions, and assortment rules need an owner and review date. Escalate unsupported decisions. Give the shopper a clear support path instead of asking the assistant to improvise. Change note: “Updated the product source to mark the item fragrance-free; added a product-scoped approved answer for sensitive-skin questions; no recommendation instruction changed.” That note gives the reviewer a testable hypothesis. If the result remains wrong, the team knows which layer has already been cleared. 5. Retest the recommendation like a merchandiser Rerun the decision, not only the original sentence. A useful retest checks whether the fix holds when the shopper changes wording or when an important constraint changes. Retest Example Pass signal Original question Repeat the exact shopper wording. The result stays inside the approved product set and factual answer. Natural paraphrase “Sensitive skin moisturizer without fragrance, max $50.” The same constraints are respected without relying on one phrase. Availability case Make the preferred variant unavailable or test a known unavailable option. The assistant does not present the unavailable choice as ready to buy. Boundary case Ask for an item just outside the price, size, use, or compatibility rule. The assistant explains the limitation or offers a valid alternative. Support case Ask for an exception that requires human approval. The handoff path activates without an invented answer. Record the retest date, storefront, source version, result, and reviewer. A manual record is enough to start. The important part is preserving the link between the failure, the change, and the observed result. 6. Monitor knowledge gaps and hand off what the agent should not answer Recommendation quality and knowledge coverage need separate checks. An assistant can confidently recommend the wrong product without creating a knowledge gap. It can also correctly report that it lacks an answer, which is a knowledge gap but safer than a fabricated recommendation. Use three views together: Question themes show which topics repeat across shopper conversations. Session transcripts show the exact question, answer, product cards, and follow-up context. Knowledge Gaps collect questions the agent could not answer and let the team add a resolution. Review unresolved gaps on a regular cadence, then sample sessions for questions that produced an answer but may still have produced a poor recommendation. Track support handoffs separately so a safe escalation is not counted as a recommendation failure. 7. Use this question-to-source audit template Copy this template into a spreadsheet, QA document, or merchandising review. One row should describe one shopper decision and one corrective cycle. Field What to record Shopper question Exact wording from the session Intent Discovery, comparison, compatibility, availability, policy, or support Expected result Approved product, acceptable set, answer, or handoff Actual result Products and answer the shopper received Failure type Fact, availability, relevance, instruction, knowledge, or handoff Source to fix Catalog/PDP, knowledge URL or file, custom response, recommendation instruction, or support path Owner Merchandising, ecommerce, support, or product Correction Smallest approved source change Retest set Original, paraphrase, availability case, edge case, and handoff case Status Open, fixed, retested, escalated, or monitoring Keep the expected result explicit. “Looks better” is not a pass criterion. “Returns only fragrance-free products under $50, avoids unavailable variants, and hands unsupported skin-safety questions to support” is. 8. How Tolstoy supports the recommendation QA loop Tolstoy AI Sales Agent gives ecommerce teams the product and conversation surfaces needed to run this workflow: review question themes and individual shopper session transcripts; find unresolved knowledge gaps and add approved resolutions; add knowledge from supported files or URLs; save approved custom responses, including product-specific answers; choose recommendation behavior and add merchant guidance when using the Smart engine; send requests to a contact destination or storefront support event when a person should take over. The operator still owns the judgment. Tolstoy makes the evidence, source controls, and retest surface easier to connect; merchandising and support teams decide what is correct for the catalog and customer. Evaluating the category? See how AI personal shoppers support product discovery, comparison, and guided selling , then use this QA loop to govern the recommendations after launch. 9. Final takeaway Inaccurate AI product recommendations become manageable when every failure has a question, expected result, source, owner, correction, and retest. That record turns a vague quality complaint into a merchandising task the team can verify. Start with five real shopper sessions. Classify each failure, repair the smallest authoritative source, rerun the decision, and keep the result. The first goal is a QA loop your team trusts enough to repeat. Ready to review product recommendations with real conversation context? Start free with Tolstoy . --- # Meet Tolstoy Tag: Your Ecommerce Creative Agent in Slack URL: https://www.gotolstoy.com/blog/introducing-tolstoy-tag Author: Rosalie Gill | Published: 2026-07-13 Summary: Tag @Tolstoy in Slack to create and refine ecommerce campaign assets with your team in one shared thread. Most AI creative work is still single-player: one person carries a team brief into a private chat, translates everyone's feedback, and brings the result back. Tolstoy Tag makes that process multiplayer by putting Tolstoy's agent directly in the Slack conversation where the campaign is already being shaped. What is Tolstoy Tag? Tolstoy Tag is a Slack-native, multiplayer way for ecommerce teams to work with Tolstoy's agent. Mention @Tolstoy in a channel, share a brief, product link, image, or file, and ask for the next piece of work. Teammates can add context and feedback directly. The agent reads the relevant thread, understands who contributed each instruction, and returns progress and results to the same conversation. Why put Tolstoy's agent in Slack? Most creative delays are not caused by a lack of ideas. They come from translating context between people and tools. A creative lead starts a request, an ecommerce manager corrects a product detail, paid social asks for another format, and brand adds a constraint. In a private AI chat, one person becomes the translator for everyone else. Tolstoy Tag makes the Slack thread the working brief. The agent can distinguish who said what, use the messages and files attached to the job, and keep the next revision visible to the people making the decision. Slack already encourages marketing teams to organize campaign planning and creative feedback in channels and threads. Slack's marketing workflow guide reflects that operating model. Tolstoy Tag gives the agent a role inside it. Six workflows for ecommerce teams Build the campaign brief together. Growth can set the goal, ecommerce can add product truth, brand can define the guardrails, and creative can contribute references in one thread. Tolstoy works from the combined brief instead of one person's summary of it. Review and revise creative as a team. Teammates can respond to the same output with specific feedback. Tolstoy keeps each person's instruction attached to the conversation and uses it in the next revision. Hand work off without losing context. One person can start the job and another can continue it from the same thread, files, decisions, and earlier feedback. Turn one direction into channel-specific concepts. Start with an approved idea, then request paid-social, story, email, PDP, or video concepts while preserving shared product and brand constraints. Research and develop ideas in public. Ask Tolstoy to explore a market, competitor, trend, hook, or visual direction. The team can question the findings and turn the strongest direction into a creative brief together. Create from the references already in Slack. Share a moodboard, product image, competitor example, brief, or existing asset. Tolstoy can use those files and the surrounding discussion to create or evaluate the next version. The common thread is collaboration. Tolstoy Tag is not just another place to send prompts. It gives the team one shared workspace for briefing, making, reviewing, and refining work with the agent. How Tolstoy Tag works Bring the real inputs. Share the campaign goal, product, reference, file, deadline, and required format in a Slack channel. Tag the agent. Mention @Tolstoy and describe the outcome you need. Tolstoy reads the relevant thread and recognizes the people contributing context. Follow the work in place. Progress appears in Slack during longer jobs, and generated media or result previews return to the thread. Refine together. Teammates reply with specific changes. Tolstoy carries that thread context into the next turn. Each channel keeps its own working context, so a launch campaign does not get mixed with an unrelated support or product conversation. From one tennis reference to a campaign-ready direction Imagine the tennis image above is the approved direction for a summer collection. The creative lead wants the blue court and editorial sports styling. Paid social needs a vertical concept. Ecommerce needs a wider PDP concept. Brand does not want the product color changed or unapproved claims added. The team can put those requirements into one request: @Tolstoy, use the attached tennis image as the visual direction for our summer collection. Products: [product links or names] Deliverables: one 4:5 paid-social concept and one wide PDP concept Keep: blue court, warm sunlight, editorial sports styling Avoid: changing product colors or adding unapproved claims First, summarize the plan and flag any missing inputs. Then create the first concepts for review. When the first output comes back, feedback stays concrete: keep the pose, make the product more prominent, preserve the court color, or use the approved headline from the earlier message. The thread becomes both the brief and the revision history. What Tolstoy Tag can do today Understand threads and speakers: follow the request, earlier replies, and the teammates contributing feedback. Use images and files: work from creative references or briefs shared with an instruction in Slack. Create with connected Tolstoy tools: use the image, video, research, product, and ecommerce capabilities available to the workspace. Support multi-person iteration: continue the same job through replies from several teammates instead of restarting in a private chat. Preserve channel context: keep campaign-specific working context with the Slack channel that owns the work. Return visible progress and results: show when the agent is working and bring the output back to the conversation where the request started. Keep a person in the final review. Check product accuracy, brand fit, claims, text, crop, and channel requirements before publishing. For a stricter review process, use Tolstoy's AI product content trust checklist . How to connect Tolstoy Tag Open Settings > Integrations in your Tolstoy workspace. Choose Slack and connect the correct workspace. Open the channel where your team wants to work. Use /invite @tolstoy to add Tolstoy to the channel. Share one active brief or creative file, add a clear instruction, and tag @Tolstoy . Start with one real campaign and one owner. A narrow first job makes it easy to agree on the product inputs, brand rules, and review steps the team wants to reuse. Want to bring Tolstoy's agent into your next campaign brief? Connect Slack, invite @Tolstoy , and start with one active creative job. Connect Tolstoy Tag or get Tolstoy for free . Tolstoy Tag FAQ What is Tolstoy Tag? Tolstoy Tag is Tolstoy's Slack-native creative collaboration experience. Mention @Tolstoy in a channel to give Tolstoy's agent a creative or ecommerce job using the relevant thread, files, and workspace context. Who is Tolstoy Tag for? It is designed for ecommerce, creative, brand, and growth teams that already coordinate campaigns in Slack and want several teammates to work with the same agent and context. Can Tolstoy Tag use images and briefs shared in Slack? Yes. Add an instruction when sharing a supported file so Tolstoy receives both the asset and the job. Teammates can continue the creative conversation in the same thread. Does Tolstoy Tag remember the conversation? Tolstoy uses the current thread and channel-specific working context to continue the job. Channel context stays scoped to the channel where the team is working. Should a person review creative from Tolstoy Tag? Yes. Review product accuracy, brand fit, claims, text, crop, and channel requirements before anything is published. The final decision remains with the team. --- # How to Turn a Shopify Catalog Into TikTok Shop Content URL: https://www.gotolstoy.com/blog/shopify-catalog-to-tiktok-shop-content Author: Rosalie Gill | Published: 2026-07-10 Summary: A practical workflow for turning Shopify product data into TikTok Shop-ready shoppable content without losing product truth or inventory context. Quick answer: turn your Shopify catalog into a content system, not just a feed If you want your Shopify catalog to drive TikTok Shop content, start by making sure the product data is sync-ready, then choose the products and hooks that deserve video first. The catalog should tell you what to sell, how to frame it, and which products can be linked inside a shoppable video. It should not force you to rebuild every product story from scratch. The practical workflow is straightforward: sync your Shopify catalog into TikTok Shop cleanly prioritize the products that already have strong visual or commercial upside translate product facts into a short list of content angles create shoppable videos tied to real products and inventory pre-check the content before publish, then learn from what sells That is where tools like Tolstoy become useful. Instead of treating the catalog as a static listing database, you can use it as grounded input for reviewable TikTok Shop content creation and publishing. On this page Why most Shopify catalogs do not turn into good TikTok Shop content What Shopify and TikTok actually handle for you The operator workflow from catalog to content Which products to push first How to turn product data into video angles Where Tolstoy fits FAQ Why Most Shopify Catalogs Do Not Turn Into Good TikTok Shop Content Many teams assume that once Shopify and TikTok Shop are connected, the content problem is solved. It is not. Platform sync solves a specific operations problem: product data, inventory, orders, and listing status. Shopify's TikTok Shop setup guide says the TikTok sales channel can connect Shopify to TikTok Shop and sync catalog, inventory, fulfillment, and orders between the two systems. TikTok's Shopify setup materials make the same point: once connected, product sync keeps listings current and lets you manage much of the operational flow from Shopify or the connected TikTok surfaces. But synced products are not the same thing as useful shoppable content. A raw product feed usually gives you: titles and descriptions images and prices inventory and SKU context product status and compliance feedback It usually does not give you: a strong 10-second hook a creator-style framing for the product a demo concept built for TikTok behavior a usable content priority list across the catalog a repeatable way to generate more videos without drifting from the product That gap is why many TikTok Shop programs end up with one of two failure modes: the catalog is synced, but the content stays manual and inconsistent the content gets produced quickly, but it drifts away from real product details, inventory, or merchandising priorities If you want the catalog to become a content engine, you need an operator workflow on top of the sync. What Shopify and TikTok Actually Handle for You Start with the boundaries. Shopify's TikTok Shop setup guide says the TikTok sales channel can connect to TikTok Shop and sync catalog, inventory, fulfillment, and orders between Shopify and TikTok Shop. TikTok's Shopify setup guide adds the practical flow: connect the TikTok sales channel, sync products or selected collections, then review product status in TikTok Shop if items need approval or fixes. TikTok's TikTok for Shopify hub frames the integration as a way to sync products and process orders without switching platforms, while TikTok's Shoppable Video hub focuses on helping sellers create, optimize, and learn from shoppable videos. That separation matters: Job What the platform integration helps with What your team still has to do Catalog sync Push products, pricing, inventory, and order flow between Shopify and TikTok Shop Decide which products are actually worth promoting first Listing health Show approval status and policy issues Fix weak titles, attributes, images, or compliance problems Content creation Provide publishing surfaces and native creation tools Turn product truth into hooks, demos, and creator-style videos Shoppable publishing Let you link products in TikTok Shop content Make sure the linked content actually matches the product and intent Learning loop Give you status and performance surfaces Decide what to refresh, relaunch, or scale next Once you accept that the catalog sync is only the foundation, the workflow becomes clearer. The Operator Workflow From Catalog to Content 1. Make the catalog sync-ready Before thinking about video ideas, make sure the catalog is clean enough to travel. At minimum, the products you want to push should have: clear titles that make sense outside your own internal naming accurate descriptions and attributes usable primary images real inventory and price integrity approved or approvable TikTok Shop listing status TikTok's Shopify setup materials explicitly tell sellers to review product status and fix flagged items before expecting reliable listing performance. If a product is messy at the feed level, the content built around it will be messy too. 2. Pick the products that deserve content first Do not start by trying to produce TikTok Shop content for the entire catalog. Start with products that have one or more of these qualities: clear visual demo potential strong problem-solution framing high-margin or strategically important inventory repeatable use cases or routines variation opportunities across hooks, creators, or audiences This is the same logic behind other scalable AI content workflows. In Tolstoy's guide to AI content use cases for ecommerce cost reduction , the strongest first uses are the repeatable jobs where approved product inputs can generate more useful variations without reopening the entire creative strategy each time. TikTok Shop content works the same way. The products that win first are usually the ones that can carry multiple angles from the same grounded product truth. 3. Build a small angle system for each product Once you choose the products, do not ask for a generic video. Ask for a usable content map. For each product, define 3 to 5 angles such as: problem and solution before and after routine or use-case demo objection handling comparison or fit guidance That gives you a path from product data to content variants without inventing a new creative brief every time. TikTok's own shoppable video tools and Seller Center guidance emphasize planning, scripting, demos, product linking, pre-checks, and iteration. That supports an operator mindset: use the catalog to ground the product truth, then use a short angle system to create multiple videos that remain tied to a real item and a real commerce goal. 4. Create videos that stay tied to the real product This is the step where many teams either waste time or create drift. To turn a catalog into TikTok Shop content, the content system should stay anchored to: real product images and details approved product claims the product's category and use case the merchant's real inventory and merchandising priorities That is why the best output is usually reviewable content, not one-click autopublish with no control. If you are generating or repurposing product videos, the visible product, the hook, and the product tag all need to match. If your team needs help with the video side specifically, Tolstoy's product-video guide is the right companion piece. The main point here is simpler: the catalog should supply the product truth and the content team should supply the angle discipline. 5. Pre-check before you publish TikTok's shoppable-video tools guidance explicitly includes a pre-check step before posting. That should become a hard rule in your workflow. Before you publish a TikTok Shop video, check: Is the right product linked? Does the video show the real product or a faithful representation? Does the title or caption overclaim? Does the hook match what the product actually solves? Is the inventory live and the listing approved? Would a shopper who clicks the product tag feel misled? A clean pre-check matters more than extra output volume. Bad shoppable content wastes both creative effort and listing opportunity. Which Products To Push First If your catalog is large, choose the first content wave with a simple scoring lens. Signal Why it matters What to do with it Strong visual demo TikTok Shop content needs to show the product working, changing, fitting, or solving Prioritize products with obvious motion, transformation, or styling value Clear use case Products with a simple job are easier to script and harder to misframe Build angle sets around a few repeated shopper problems Commercial priority Not every SKU deserves equal video energy Start with strategic products, bundles, or high-margin winners Existing asset depth Good source media makes faster reviewable output possible Use products that already have quality images, UGC, or product footage Low product ambiguity Unclear, technical, or compliance-sensitive items are harder to publish safely Defer the messy SKUs until the workflow is stable This keeps the first wave practical. You are not proving that every product deserves TikTok Shop content. You are proving that the catalog can produce repeatable shoppable content when the operator choices are disciplined. How to Turn Product Data Into Video Angles A catalog record becomes useful for TikTok Shop content when it answers five questions: What is the product? Who is it for? What problem does it solve? What does the shopper need to see to believe it? What is the cleanest call to action? Use a structure like this for each priority SKU: Catalog input Content translation Title + product type The baseline framing for the hook and the linked product tag Description + attributes The benefits, materials, ingredients, fit, or technical claims you are allowed to show Images or source media The visual anchor that keeps the content tied to the real product Variants or options The basis for angle variations such as color, fit, skin tone, or routine use Merchandising priority The reason this product should be pushed before the rest of the catalog Then turn that into a short angle set. For example: Hook 1: what problem it solves in daily life Hook 2: what makes it easier or faster than the old way Hook 3: how it looks, fits, or transforms in context Hook 4: what objection it answers Hook 5: why someone should buy now instead of saving it for later The content does not need to be clever first. It needs to be grounded first. Where Tolstoy Fits Tolstoy is useful when the bottleneck is not the existence of the catalog, but the speed and consistency of turning that catalog into reviewable, commerce-ready content. The clean workflow looks like this: your Shopify catalog provides the product truth TikTok Shop provides the listing and shoppable publish surface Tolstoy AI Studio helps generate product images and videos faster from grounded product and brand context Tolstoy's TikTok Shop workflow helps connect content creation to the publish path instead of forcing manual asset export every time If you want the broader posting mechanics, read Tolstoy's TikTok Shop shoppable-video guide . The difference in this article is the workflow starting point: not “how do I post a shoppable video,” but “how do I turn my existing Shopify catalog into a repeatable content machine for TikTok Shop?” That is a different operating problem, and it is the one most growth teams actually have. Want to turn your Shopify catalog into reviewable TikTok Shop content faster? Use Tolstoy AI Studio to ground product videos in real product and brand inputs, then move them into a cleaner shoppable publishing workflow. Explore AI Studio or get Tolstoy for free . Final Takeaway A Shopify catalog becomes a TikTok Shop content asset only when you treat it as a system for content decisions, not just a sync destination. Use the catalog to decide which products to push, what claims and hooks are safe, what content variants make sense, and which product should be linked inside the video. Then use a reviewable creation workflow to turn that product truth into shoppable content without losing accuracy. If your team can do that consistently, the catalog stops being a feed and starts becoming a real commerce-content engine. FAQ Can Shopify sync products to TikTok Shop? Yes. Shopify's TikTok Shop setup documentation says the TikTok sales channel can connect Shopify to TikTok Shop and sync catalog, inventory, fulfillment, and orders between the two systems. Does product sync automatically create good TikTok Shop content? No. Product sync handles operations and listing data. Teams still need to choose which products deserve content, create strong hooks and demos, and make sure the final video matches the linked product. What products should brands push first on TikTok Shop? Start with products that have strong demo value, clear use cases, commercial priority, and enough source assets to support reviewable content creation. What is the best way to turn a catalog into shoppable content? Use the catalog as the grounded input for product selection, content angles, claims, and linking. Then create a small set of reviewable video variants tied to the real product instead of making generic content disconnected from inventory and merchandising. Where does Tolstoy help in this workflow? Tolstoy helps when brands want to generate and review more product videos from real catalog and brand inputs, then move those assets into a cleaner TikTok Shop publishing workflow. --- # Best AI Content Use Cases for Ecommerce Cost Reduction URL: https://www.gotolstoy.com/blog/ai-content-use-cases-ecommerce-cost-reduction Author: Rosalie Gill | Published: 2026-07-08 Summary: Learn the highest-leverage AI content use cases for ecommerce teams, from on-model visuals to product videos, ad refreshes, and PDP updates. AI content helps ecommerce teams cut production costs when it replaces repeatable creative jobs, not creative strategy. The strongest first use cases are the ones that multiply approved product assets into more useful variations: on-model photos, background changes, product videos, ad refreshes, and PDP or lifecycle updates. Start with repetitive asset-variation work, not your highest-risk hero campaign. Keep humans in charge of product truth, brand rules, and final approval. Use one approved product input to create more channel-ready variations across PDPs, email, paid, and social. Prioritize workflows that remove shoot, editing, or resizing bottlenecks for many SKUs. Treat AI as a production lever, not a substitute for merchandising or creative judgment. On this page Where ecommerce content costs pile up The best AI content use cases to reduce costs What to automate first How to reduce costs without creating content debt How Tolstoy AI Studio fits FAQ Where ecommerce content costs pile up Most ecommerce creative spend does not come from one hero asset. It comes from the pileup of variations that have to be made after the core product story is already approved: on-model versions for different products or variants seasonal background swaps new ad angles for the same SKU updated PDP visuals for launches and refreshes email hero assets and supporting graphics short product videos for paid, PDP, and social placements That is why AI cost reduction works best in production-heavy environments. If your team already has approved products, brand context, and channel goals, AI can help produce more usable variations without recreating the brief from scratch every time. The best AI content use cases to reduce costs 1. Turn flat lays into on-model product images This is one of the clearest places AI can replace expensive repeat work. A team that already has flat lays or clean product shots can use AI to create more contextual visuals for PDPs, paid social, and lifecycle campaigns without scheduling a full new shoot for every SKU. This is most useful when: your catalog is large you need visual consistency across many products new variants launch faster than your photo production cycle Quality checks still matter. Review fit, scale, fabric texture, product details, skin-tone realism, and whether the final image still represents the exact item being sold. 2. Create product-only assets from lifestyle or model imagery The reverse workflow matters too. Sometimes the cost problem is not making content more aspirational. It is making it more operational. Teams often need cleaner, product-first assets for marketplaces, collection pages, comparison modules, or retailer handoffs. AI can help strip back lifestyle context and generate cleaner product-focused variations from approved inputs. That can reduce manual editing time when your team is constantly repackaging the same product for different surfaces. 3. Generate background variations for seasons, campaigns, and channels Background changes are a strong cost-saving workflow because they let one approved product image do more jobs. A single product can be adapted into studio-white, holiday, summer, editorial, or social-native settings without planning separate shoots for each campaign moment. This works well for seasonal launches, paid social refreshes, email banners, landing page creative, and marketplace-specific formatting. The guardrail is simple: the environment can change, but the product itself should stay truthful. 4. Expand color and variant coverage without re-shooting everything Variant-heavy catalogs create real production drag. When teams need to show multiple colors, finishes, or packaging versions, AI can reduce the amount of manual creative work required to prepare launch-ready visuals. This is useful for collection launches, product-detail updates, paid creative rotation, and merchandising previews. It is also one of the highest-risk workflows. Color fidelity, packaging details, regulated labeling, and ingredient or wellness representation all need human review. If exact shade or packaging accuracy is critical, do not treat AI output as publish-ready without signoff. 5. Turn product images into short product videos Short-form product video is expensive to maintain when every campaign or SKU needs motion. AI helps when the goal is not a cinematic brand film, but a steady stream of usable product clips for ecommerce surfaces. That makes this workflow useful for PDP media galleries, shoppable video placements, paid social hooks, and email thumbnails. The cost advantage comes from reducing the gap between approved product imagery and channel-ready video assets. If video is part of your main content mix, it is worth pairing this workflow with practical publishing guidance from video in Klaviyo flows for Shopify and adjacent video production reads. 6. Refresh ad creative faster from existing product inputs Many ecommerce teams do not have a content creation problem. They have a refresh problem. The same products need new angles, formats, and hooks across Meta, TikTok, and related paid surfaces. AI can help extend the life of approved product inputs by turning one product or concept into multiple reviewable ad variations. That is often a better use case than chasing fully net-new concepts, because the brand, offer, and merchandising context already exist. Tolstoy's own Meta ads strategy for ecommerce brands is a useful companion read for teams that need the testing workflow, not just the asset output. 7. Refresh PDP and lifecycle content without restarting production Product education is not limited to ads. Teams also need updated visuals for PDP blocks, comparison graphics, email content, and post-purchase flows. When those updates depend on the same product inputs and brand rules, AI can reduce the labor required to keep owned surfaces current. This is especially useful when a team wants fresher product education blocks, updated email hero assets, bundle or recommendation visuals, and more channel-specific creative without separate production tracks. What to automate first Start with the workflows that meet three conditions: The input is already approved. The output shape repeats across many SKUs or campaigns. The team can review the result quickly against clear product and brand rules. Use case Cost driver reduced Difficulty Brand/product risk Best first rollout Review owner Flat lay to on-model New shoots, model costs, editing hours Medium Medium Hero SKUs or top collections Creative lead Background changes Seasonal reshoots, campaign asset volume Low Medium Paid and email refreshes Brand or campaign owner Color or variant expansion Variant launch coverage, retouching time Medium High Limited variant sets Merchandising + creative Product image to video Motion production bottlenecks Medium Medium PDP clips and paid hooks Growth or content lead Ad creative refreshes Repeated concept packaging and resizing Low Medium Existing paid winners Performance marketer PDP or lifecycle refreshes Ongoing owned-surface asset upkeep Low Low to medium Email and PDP modules Lifecycle or ecommerce lead How to reduce costs without creating content debt AI only saves money if the review loop stays disciplined. If your team spends more time correcting inaccurate outputs than it would have spent producing the asset normally, the workflow is not saving money. Use these guardrails: keep a clear source-of-truth product input require final human approval before publish document which surfaces each asset is safe for separate low-risk reuse from high-risk product changes maintain naming, ownership, and review rules so assets do not become untraceable This is also why AI cost reduction should not be framed as replacing creative direction. It works best when direction already exists and production is the bottleneck. If your team needs the quality-control side of that equation, pair this article with How to Create AI Product Content Without Breaking Brand Trust . How Tolstoy AI Studio fits Tolstoy AI Studio is strongest when an ecommerce team wants to turn existing product, catalog, and brand inputs into more publishable variations without adding friction to every downstream channel. On Tolstoy's public AI Studio workflow, the platform supports syncing catalog and brand inputs, generating on-brand images, videos, ad creatives, PDP visuals, and email content, moderating outputs in a review flow, and publishing content to PDPs, PLPs, email, paid media, and social. Tolstoy's public AI Studio page also explicitly positions the product around on-model image generation from flat lays, product video generation from static images, ad creatives from templates, and SKU-level PDP or PLP visuals. That makes it a good fit for the exact kinds of repeatable production workflows that usually create the most content cost pressure. For teams exploring the on-model workflow first, AI model photos for products shows the more specific visual angle behind that use case. If your team wants to see which workflows are safest to automate first, book a free AI Studio demo . FAQ What is the best AI content use case for ecommerce brands? Usually the best first use case is a repeatable production job with approved inputs, such as on-model image generation, background variations, short product videos, or ad refreshes. Can AI product photos replace photoshoots? They can reduce how often teams need new shoots for repeatable variations, but they should not replace human review or the need for original creative direction. Is it safe to use AI for product color changes? Only with care. Color and packaging fidelity are high-risk areas, so merchandising or product owners should approve those outputs before publish. How can ecommerce teams reduce creative production costs with AI? Use AI where the job repeats across many SKUs, campaigns, or channels, and keep humans responsible for accuracy, brand fit, and final approval. What should humans still review before publishing AI content? Humans should review product truth, brand consistency, regulated claims, visual accuracy, and whether the asset actually fits the channel where it will appear. --- # How to Use AI Sales Agent Data for Post-Purchase Recommendations URL: https://www.gotolstoy.com/blog/ai-shopper-post-purchase-recommendations Author: Rosalie Gill | Published: 2026-07-06 Summary: Learn how Shopify brands can turn AI Sales Agent conversations and product context into more useful post-purchase recommendations. Quick answer: use AI Sales Agent intent as a post-purchase recommendation layer Post-purchase recommendations work better when they use more than the last SKU a shopper bought. For Shopify brands, the strongest signals often come from the questions shoppers ask before they buy: size uncertainty, use case, style preference, budget, gift intent, ingredients, fit, compatibility, and the problem they were trying to solve. Use AI Sales Agent data as an intent layer. Combine it with purchase history, catalog rules, product availability, and lifecycle timing before sending a recommendation through email, SMS, onsite, or chat. Start with the shopper's stated need, not only the item they bought. Separate high-confidence recommendation signals from notes that need human or rules-based review. Use post-purchase flows for the next helpful step: care, refill, accessory, bundle, routine, or complementary product. Keep brand, inventory, margin, and return-risk rules in the recommendation logic. Treat AI Sales Agent conversations as qualitative intent data unless your analytics setup proves otherwise. On this page Why post-purchase recommendations miss What AI Sales Agent data can add The recommendation workflow Signals to collect Post-purchase recommendation map Quality checks before sending How Tolstoy fits FAQ Why Post-Purchase Recommendations Miss Most ecommerce recommendation flows start with a useful but incomplete question: what did the shopper buy? That can work for simple replenishment or obvious accessories. If someone buys a coffee machine, filters and cleaner might make sense. If someone buys running shoes, socks may be a safe recommendation. But many Shopify brands sell products where the last purchase does not explain enough: A shopper bought a dress, but the real need was "wedding guest outfit in humid weather." A shopper bought skincare, but the important context was "sensitive skin and no fragrance." A shopper bought a wall print, but the decision depended on room size, color palette, and mounting concerns. A shopper bought shapewear, but the important signal was comfort, fit confidence, and privacy sensitivity. Traditional post-purchase flows can also over-segment quickly. A brand may create separate flows by collection, category, product, customer type, and order value, then struggle to keep every rule current. Klaviyo's product feeds and recommendation blocks can use catalog and customer behavior data, but teams still need a practical way to decide which recommendation logic belongs in which flow. The opportunity is not to replace lifecycle strategy with AI. It is to add a better layer of shopper intent before the next message goes out. What AI Sales Agent Data Can Add An AI Sales Agent sits closer to the buying decision than a normal post-purchase flow. It can capture the context behind a purchase because shoppers ask it questions in their own words. Useful signals include: Need: "I need something for a formal dinner," "I need a gift," or "I need this for travel." Constraint: budget, size, shipping deadline, ingredient preference, fabric, compatibility, room dimensions, or skin sensitivity. Uncertainty: fit, style, color, setup, return policy, care instructions, or whether a product works for a specific use case. Preference: neutral colors, wide fit, low maintenance, fragrance-free, minimal branding, premium materials, or vegan formula. Decision stage: comparing two products, narrowing a collection, checking policy, or ready to buy. This data is most useful when it becomes structured enough to act on. A lifecycle tool does not need a full transcript. It needs a small set of safe fields, such as: primary use case product category of interest rejected options fit or sizing note gift intent relevant preference confidence level next best recommendation type The important boundary: do not treat every AI conversation as a verified fact. A shopper might describe a goal vaguely, change their mind, or ask for something that conflicts with inventory or policy. The recommendation system should use AI Sales Agent data as a strong hint, then check it against product, availability, and brand rules. The Recommendation Workflow 1. Capture the intent that led to the order The first step is to preserve why the shopper bought, not just what they bought. For example: Product purchased: black linen dress AI Sales Agent context: customer asked for a breathable wedding guest outfit for a beach venue Better post-purchase path: care guide, matching sandals or wrap, wrinkle-prevention tips, travel packing content That is more useful than a generic "you may also like these dresses" block. If the shopper did not talk to the AI Sales Agent, fall back to purchase behavior, viewed products, collection, and category rules. AI data should improve the recommendation when available, not make the flow fragile when it is missing. 2. Normalize the signal into recommendation fields Raw conversation data is hard to use in lifecycle marketing. Normalize it into a small set of fields your team can maintain. Use a structure like this: Field Example How it changes the recommendation Use case Wedding guest outfit Recommend event-ready accessories, not random category bestsellers Constraint Humid weather Prioritize breathable fabrics and care tips Preference Neutral colors Avoid loud color recommendations Concern Fit confidence Send sizing, try-on, or exchange-friendly guidance before upsell Timing Upcoming trip Recommend shipping-safe add-ons or care content quickly Product relationship Refill, accessory, bundle, replacement Choose the right post-purchase message type The goal is not to create hundreds of segments. It is to make the next message feel like it remembers what the shopper was trying to do. 3. Match the next message to the post-purchase moment Post-purchase timing matters. The best recommendation immediately after checkout may be different from the best recommendation two weeks later. Use the post-purchase window to decide the job: Immediately after purchase: confirm, educate, and reduce regret. Before delivery: prepare the shopper to use the product. After delivery: recommend setup, styling, care, accessories, or content. Replenishment window: suggest refill, restock, replacement, or routine. Second-purchase window: recommend the next category based on the original need. Klaviyo's public guidance notes that post-purchase emails can include purchase details, education, review requests, recommendations, loyalty, or VIP invitations. The mistake is trying to do all of that at once. Use AI Sales Agent data to choose the most relevant next job. 4. Check inventory, margins, and brand rules AI-generated recommendation logic still needs ecommerce controls. Before a product enters a post-purchase recommendation, check: Is it in stock? Is it available in the shopper's market? Does it conflict with what the shopper rejected? Is the recommendation appropriate for the product they bought? Is the margin or discount strategy acceptable? Is there a return-risk concern? Does the product need education before upsell? This is where many AI recommendation ideas break down. The recommendation can be "personalized" and still be bad if it pushes unavailable, low-margin, off-brand, or redundant products. 5. Send the recommendation through the right surface Post-purchase does not only mean email. Depending on the shopper and the workflow, the next step might be: a Klaviyo post-purchase email a replenishment SMS an onsite AI Sales Agent follow-up when the customer returns a chat recommendation after order status or product-care questions a shoppable video or product education module a VIP or loyalty flow The surface should match the intent. If the shopper needs instruction, send education. If they need confidence, send proof or sizing help. If they are ready for a second purchase, send a narrower recommendation. Signals To Collect Use this checklist when deciding what your AI Sales Agent should pass into lifecycle logic. Shopper intent What was the shopper trying to solve? Was the purchase for themselves, a gift, an event, a trip, or a routine? Did they mention a deadline or special context? Product preference Which category, collection, color, material, size, style, or ingredient did they prefer? Which options did they reject? Did they compare two products before buying? Confidence and hesitation Did they ask about fit, quality, care, ingredients, shipping, returns, or compatibility? Did they need a recommendation or just confirmation? Did the conversation suggest they might need education before another offer? Recommendation readiness Is there a clear complementary product? Is there a replenishment cycle? Is there a bundle or routine? Is there a next category that logically follows? Would a recommendation feel helpful or too soon? Post-Purchase Recommendation Map If the AI Sales Agent learns... Do not send... Better recommendation path The shopper bought for an event Generic category bestsellers Styling, care, travel, or accessory recommendations tied to the event The shopper worried about fit Aggressive upsell Fit guidance, try-on support, exchange reassurance, then second purchase The shopper bought a refillable item Random cross-sell Replenishment timing, routine bundle, subscribe/save option The shopper compared two products More unrelated options Explain the difference, recommend the complementary item if relevant The shopper asked about materials or ingredients Broad "you may like" block Similar products that respect the same material or ingredient preference The shopper bought a gift Personal use recommendations Gift follow-up, care instructions, next gifting occasion, giftable bundles The shopper had setup questions Product upsell immediately Setup help, how-to video, then accessory recommendation This table is the operating principle: the next message should answer the shopper's original job better than a product grid can. Quality Checks Before Sending Before using AI Sales Agent data in post-purchase flows, run these checks. The consent and privacy check Do not put sensitive shopper details into marketing flows unless your data policy, consent model, and lifecycle setup support it. Use broad intent fields when possible. "Interested in fragrance-free skincare" is easier to operationalize safely than a full transcript of a personal concern. The recommendation confidence check Only automate high-confidence recommendations. If the shopper's request was ambiguous, use education or discovery instead of a hard product push. The product truth check Make sure the recommended product actually matches the shopper's need. For AI-generated or AI-assisted product content, check product accuracy, claims, ingredients, compatibility, and fit language. The lifecycle overlap check Avoid sending multiple flows that compete with each other. If a buyer is in a shipping update, review request, replenishment flow, and recommendation flow at the same time, the experience can feel messy. Decide which flow owns the next action. The measurement check Measure the flow by the right job. A care email, a review request, and a second-purchase recommendation should not all be judged by the same click or revenue expectation. Keep labels honest and avoid claiming lift unless the test design supports it. How Tolstoy Fits Tolstoy's AI Sales Agent helps ecommerce brands turn product questions into a guided shopping experience. On the storefront, it can answer shopper questions, recommend products, and use product context to help shoppers decide. For post-purchase recommendations, the useful Tolstoy angle is the intent layer. Instead of treating every post-purchase buyer as a row in a static segment, brands can use AI Sales Agent interactions to understand what the shopper was trying to accomplish and what they may need next. That can support better lifecycle workflows: AI Sales Agent captures the question or preference before purchase. Product and catalog context keep recommendations grounded. Shopify and lifecycle tools handle the post-purchase surface. The brand keeps rules for inventory, voice, privacy, and approval. If you are already building product-page readiness for AI shoppers, this is the next step: make sure the intent you learn on the product page can improve the relationship after checkout. Explore Tolstoy AI Sales Agent or start building your AI Sales Agent . Want to turn shopper questions into better recommendations? Use Tolstoy AI Sales Agent to answer product questions, guide shoppers, and build a stronger intent layer for ecommerce workflows. Build your AI Sales Agent Final Takeaway Post-purchase recommendations should not feel like the store forgot the conversation that just happened. If a shopper told your AI Sales Agent what they were buying for, what they were worried about, and what kind of product would work, that context can make the next email, SMS, or onsite recommendation more useful. The key is to turn conversation into structured intent, check it against product and brand rules, and send the recommendation at the right moment. FAQ What is AI Sales Agent data? AI Sales Agent data is the intent, preference, and product-context information shoppers reveal while using an AI shopping assistant. It can include questions, constraints, product comparisons, sizing concerns, gift intent, and category preferences. Can AI Sales Agent data replace Klaviyo product feeds? No. Product feeds and lifecycle tools still handle catalog, purchase, and customer-behavior logic. AI Sales Agent data is better used as an additional intent layer that helps decide which recommendation or message is most relevant. What post-purchase recommendations work best for Shopify brands? The best recommendation depends on the product and timing. Common paths include replenishment, accessories, bundles, care instructions, setup content, styling ideas, and second-category recommendations. Should every AI Sales Agent conversation trigger a post-purchase email? No. Some conversations are too ambiguous or sensitive to use directly. Use high-confidence intent signals, keep privacy rules in place, and fall back to education or discovery when the recommendation is uncertain. How should ecommerce teams measure these recommendations? Measure each flow by its job. A replenishment flow, care guide, review request, and second-purchase recommendation should have different success metrics. Do not claim conversion or revenue lift without a proper test. --- # How to Build an AI Influencer Persona for Ecommerce URL: https://www.gotolstoy.com/blog/ai-influencer-persona-ecommerce Author: Rosalie Gill | Published: 2026-07-01 Summary: A practical guide to creating a brand-safe AI influencer persona for Shopify and DTC teams that need scalable social, PDP, and campaign content. Quick answer: an AI influencer persona is only useful if it behaves like a brand system, not a novelty avatar If you want an AI influencer persona to help your ecommerce brand, start with product truth, Brand DNA, channel rules, and a reviewable publishing workflow. Do not begin with the face: begin with the job, the brand voice, and the products this persona needs to explain or sell. Treat the persona like an operating model: it needs approved inputs, visual rules, content boundaries, and channel-specific QA. Use it where speed and consistency matter: short-form social, creator-style PDP assets, launch campaigns, and repeatable content testing. Keep a human review loop: the fastest way to lose trust is to publish content that drifts from the real product or sounds unlike the brand. On this page What an AI influencer persona actually is When it makes sense for ecommerce The 5-part setup framework Mistakes to avoid How Tolstoy fits FAQ AI influencer content is having a predictable moment. Ecommerce teams want creator-style output faster, cheaper, and with more control than a one-off creator brief can usually provide. That interest is real, but the implementation gap is just as real. Too many teams think an AI influencer persona is a single generated face with a clever name. That is not enough to create useful content, and it is definitely not enough to build trust. For a Shopify or DTC team, the better question is simpler: Can we build one repeatable persona that creates on-brand product content across social, PDPs, email, and launch campaigns without drifting from the product or sounding fake? The answer is yes, but only if the persona is grounded in real product inputs and real brand rules. Shopify defines an AI influencer as a computer-generated character built to promote products or brands on social platforms. That definition is useful, but the ecommerce operator still needs a workflow for making that character usable in the real world. What an AI influencer persona actually is An AI influencer persona is a reusable creator identity that your brand can use across content formats: product videos, short-form social, launch assets, UGC-style creatives, PDP modules, or lifecycle campaigns. Shopify's guide highlights why brands are interested in this category at all: control, consistency, cost efficiency, and the ability to reuse or adapt content across channels faster than typical creator operations allow. Those are valid reasons. But an ecommerce persona is more specific than a general social avatar. A usable ecommerce persona should answer five questions clearly: What audience is this persona speaking to? What product categories or use cases can it speak about credibly? What visual world should it live in? What claims, tones, and topics are off-limits? Which surfaces is it allowed to publish to? If you cannot answer those questions, you do not have a persona yet. You have a render. When an AI influencer persona makes sense for ecommerce An AI influencer persona is not automatically better than working with human creators. It is strongest when the brand needs consistency, speed, or repeatability more than raw creator distinctiveness. Use case Why an AI persona works When to choose something else Always-on social content You need a repeatable face, tone, and posting style across many product moments. You need the audience reach or cultural authority of a specific human creator. PDP or PLP creator-style assets You want product-led content that feels native to social without waiting on new shoots. The asset needs real customer proof or a human testimonial. Launch campaigns You need coordinated content across product drops, landing pages, email, and social. The launch depends on a real partnership or influencer audience transfer. Creative testing You want to test different hooks, looks, and scripts before investing in larger production. You already know the winning human creator angle and only need final execution. Tolstoy's own UGC guidance points to the most practical upside here: AI-powered UGC is useful when brands want creator-led content quickly, want to test messaging faster, and do not want to wait on a large creator pipeline before learning what resonates. That is the right mental model. Use an AI influencer persona when your bottleneck is content velocity and consistency, not when you need borrowed human credibility. The 5-part setup framework If you are going to build one persona, build it like a system your team can trust. 1. Start with the job, not the avatar Before you choose a look, choose the job. Is this persona supposed to sell routines, explain fit, style outfits, show product use, narrate launches, or answer recurring objections? The job determines everything else: tone, product depth, content structure, and the channels where the persona belongs. Beauty: routines, shades, ingredients, and before-you-buy education. Apparel: fit cues, styling ideas, fabric and occasion context. Home or kitchen: use-case demos, setup, scale, and comparison help. General Shopify brands: launch storytelling, product education, and creator-style merchandising content. If the persona's job is fuzzy, the outputs will be fuzzy too. 2. Ground it in Brand DNA and product truth This is where most teams either build something useful or drift into synthetic slop. A persona needs real inputs: product images, product facts, approved descriptions, brand files, audience context, and examples of what the brand should and should not look like. Tolstoy's public AI Studio workflow is designed around exactly that model. AI Studio's influencer feature gives teams a dedicated way to build creator-style personas, while the broader Studio workflow uses Brand DNA, catalog data, files, references, and saved creative context to guide output before the content is generated. That matters because the persona should never have to invent the product. It should express the product. Brand-safety rule: if the persona has to guess at the product, it will eventually invent the wrong color, fit, use case, packaging detail, or benefit. For ecommerce teams, product truth means the persona should inherit: real SKU names, materials, and variant logic; approved claims and blocked claims; visual rules for lighting, backgrounds, and styling; audience and tone guidance from the brand's current content system. 3. Define the persona rules before generating content One good persona brief is more valuable than fifty generations. At minimum, define the persona's: role: stylist, guide, routine coach, product explainer, or launch host; voice: direct, playful, premium, educational, founder-like, or trend-aware; visual identity: age range, styling direction, setting, energy, camera behavior, and content framing; content boundaries: what it can recommend, what it cannot imply, and which claims require review; channel rules: what is appropriate for TikTok, Reels, PDP, email, paid social, and post-purchase. Shopify's AI influencer article emphasizes that brands use these personas because they can maintain a consistent, brand-safe identity. That consistency does not happen by default. It happens because the team writes the rules first. 4. Build a reviewable output loop The persona is not the finished asset. It is the input into a production loop. Tolstoy's public AI Studio workflow includes moderation, direct publishing, and performance tracking. That is the right structure for persona-led content too: Stage What the team should check What fails QA Prompt and input setup Correct product, correct campaign job, correct persona context Missing product data or vague content request Visual review Does the persona look consistent, on-brand, and product-relevant? Generic AI look, wrong product details, distracting styling Copy review Is the script useful, natural, and within approved claim limits? Hype language, unsupported claims, fake-testimonial tone Channel review Does the asset fit the intended surface and CTA? Social asset dropped into PDP context without adaptation Publish review Does the landing page, tagged product, and CTA match the promise? Content says one thing, destination says another Without this loop, the brand ends up treating AI persona content like finished proof. It is not proof. It is creative that still needs review. 5. Publish one persona across many surfaces carefully The biggest upside of an AI influencer persona is not the social post. It is the reuse path. Once the persona is stable, one content direction can be adapted across: short-form social videos; PDP modules and shoppable widgets; launch emails or campaign pages; TikTok Shop and other commerce-connected video channels; retargeting or abandoned-cart creative. That is also where Tolstoy has a stronger-than-generic angle. The public AI Studio page describes one-click publishing to PDPs, PLPs, email, and social, while Tolstoy's TikTok Shop guide describes publishing AI-generated and creator content from the Tolstoy library into TikTok Shop workflows. That means the same persona-led asset does not have to die inside a content folder. Mistakes to avoid Most AI influencer persona failures are operational, not technical. Building a persona with no product system behind it. The result looks polished but says nothing useful. Trying to make the persona do every job. One persona should serve one primary content role well. Publishing fake-customer energy as if it were proof. A persona can demonstrate, explain, or model. It should not imply a real testimonial if none exists. Ignoring channel context. What works for a Reel or TikTok draft may feel off on a PDP or email module. Skipping disclosure and endorsement review. The FTC's influencer guidance still applies to sponsored or endorsement-style content. If the format could affect how people evaluate the recommendation, review disclosure requirements before publishing. Measuring only views. A useful persona should help drive product understanding, click-through, add-to-cart behavior, or creative learning, not just vanity reach. This article is not legal advice. The practical point is simpler: do not let a synthetic persona create ambiguity about what is paid, what is illustrative, or what is real shopper proof. How Tolstoy fits Tolstoy is useful here because it connects the pieces most brands otherwise manage separately. AI Studio already works from Brand DNA, product catalog context, files, and references. Its influencer feature gives brands a direct way to create and refine creator-style personas, and the rest of the Studio workflow can turn those personas into on-model product content, social-ready outputs, and PDP-ready visuals without forcing the team to rebuild brand context every time. From there, the public workflow continues where many AI tools stop: approve, tweak, or regenerate content in a moderation loop; publish directly into storefront and campaign surfaces; reuse assets across PDPs, email, and social instead of recreating them from scratch; connect persona-led content to shoppable experiences rather than leaving it as standalone creative. For a brand that wants to test an AI influencer persona seriously, that matters more than a novelty avatar generator. The operating question is not "can we make one video?" It is "can we make one governed persona useful across the actual commerce workflow?" For related guidance, read Tolstoy's article on using UGC for ecommerce growth and the workflow guide for publishing creator, influencer, and AI-generated videos to TikTok Shop . Want to build a creator-style persona without losing brand control? Use Tolstoy AI Studio to ground every asset in Brand DNA, product context, and a reviewable publishing workflow across social, PDPs, and campaigns. Start free with AI Studio Final takeaway An AI influencer persona is not a shortcut around brand strategy. It is a way to operationalize it. If you define one clear content job, ground the persona in real product and brand inputs, keep a human review loop, and publish only where the asset fits, the persona can become a scalable creative system instead of a gimmick. Start with one persona, one product line, and one channel cluster. Get that system working. Then scale the output, not the chaos. FAQ What is an AI influencer persona for ecommerce? An AI influencer persona is a reusable digital creator identity a brand uses to produce product-focused content across social, storefront, and campaign surfaces. Unlike a one-off generated avatar, it should follow clear brand, product, and channel rules. When should a Shopify brand use one? It makes sense when the brand needs faster creator-style content, more consistency across campaigns, or a practical way to test social and PDP creative before investing in larger production or creator programs. How do you keep an AI influencer persona brand-safe? Ground it in product truth and Brand DNA, define clear persona rules, review outputs before publishing, and block unsupported claims, fake-customer framing, or off-brand visuals. Should it replace human creators? No. Human creators still matter when a campaign depends on authentic audience trust, cultural authority, or real customer proof. AI personas are strongest when the brand needs speed, consistency, and scalable creative testing. --- # How to Make Shopify Product Pages Ready for AI Sales Agents URL: https://www.gotolstoy.com/blog/shopify-product-pages-ready-for-ai-shoppers Author: Rosalie Gill | Published: 2026-06-26 Summary: Use this practical checklist to make Shopify PDPs easier for AI shoppers to read, compare, and recommend without losing brand control. Quick answer: AI-ready Shopify PDPs need more than basic SEO If you want AI shoppers to recommend your products accurately, your Shopify product pages need clean product facts, retrieval-ready FAQs and policies, structured attributes, comparison context, and a clear path from answer to purchase. Start with the PDP: Shopify says AI systems rely on detailed specs, structured data, product attributes, sizing, materials, and care information. Do not confuse visibility with accuracy: Shopify Knowledge Base improves the accuracy of AI answers about your store, but not how often your store appears in AI results. Use a checklist, not a vibe: titles, summaries, images, policies, FAQs, and comparison details all need to be machine-readable and current. Make answers actionable: once an AI shopper understands the product, it still needs a way to recommend, compare, and move the shopper toward cart. Shopify is making the AI-readiness shift explicit. Its public product-page audit now asks whether your PDP has the structured data that AI agents read, and Shopify's help docs break out separate guidance for store-level AI optimization, Shopify Catalog inclusion, and FAQ accuracy. That is useful, but the guidance is spread across several surfaces. Most teams do not need another broad article about "agentic commerce." They need a practical way to look at a Shopify product page and answer a simpler question: If an AI shopper lands here, does it have enough clean context to explain, compare, and recommend this product correctly? This matters because Shopify says AI-powered search and shopping assistants are already helping customers discover and compare products, and its enterprise guidance says AI-referred visitors convert better than organic search visitors. The product page is where that higher-intent traffic often has to make sense of the item fast. Why PDP readiness matters now Shopify's public AI-readiness pages make two things clear. Eligible Shopify products are automatically included in Shopify Catalog , which AI channels can use for discovery, ranking, and recommendations. That does not remove the need for a strong PDP. Shopify's AI optimization guidance still tells merchants to add detailed specifications, comparison information, structured data, and sizing or material details directly to product pages. In other words: the catalog gets your product into the conversation, but the PDP still carries the context that helps an AI shopper represent the product correctly. That is also why Shopify's public agentic-readiness audit focuses on structured data and page accessibility signals. AI shoppers need facts they can retrieve and trust, not just a pretty page. What AI shoppers need from a Shopify product page Shopify's guidance is consistent: your PDP should work for both humans and AI systems that crawl and analyze the content. That means the page needs to answer five practical jobs at once. 1. Core product facts Title, summary, price, availability, options, and key features need to be obvious and current. 2. Product attributes AI systems need detailed specs, materials, care instructions, sizing, and product organization data. 3. Comparison context Shoppers ask comparative questions. Your PDP needs enough context to explain why this product is right versus similar options. 4. Policy and FAQ retrieval Returns, shipping, warranty, subscriptions, and common questions need to be easy to retrieve and consistent. The last job is shopper motion. Once an AI shopper understands the product, it still needs a way to guide the user to the right next action instead of stopping at an answer. The Shopify PDP readiness checklist Use this checklist to review any product page that you want AI shoppers to discover, explain, and recommend. Readiness check What good looks like What breaks AI shopper performance Clear title and summary Product title is specific, and the opening summary explains the product and its core benefit fast. Vague naming, clever copy with no context, or missing product-level differentiation. Prominent price and availability Price, inventory state, and key options are easy to find and stay current. Hidden inventory state, mismatched variants, or outdated availability details. Detailed attributes Descriptions include specs, materials, size notes, care instructions, and technical details where relevant. Thin copy that leaves AI systems guessing or over-generalizing. Product organization data Type, vendor, collections, tags, and barcodes are clean and descriptive enough for Shopify Catalog and AI matching. Messy taxonomy, missing organization fields, or inconsistent variant naming. Comparison context The PDP helps explain when this product is right, what use case it serves, and how it differs from nearby options. No comparison context, which forces AI shoppers to make weak or generic recommendations. Images and alt text Images are high quality, represent the actual product, and include descriptive alt text. Generic visuals, inconsistent imagery, or missing alt text that removes key context. FAQs and policies Returns, shipping, sizing, warranty, and common questions are accurate, plain-language, and aligned across sources. Policy gaps, contradictory help-center answers, or unanswered shopper objections. Structured data and accessibility The PDP exposes the signals Shopify's audit expects and stays crawlable. Broken structured data, inaccessible page elements, or blocked page access. Action path after the answer Once the product is understood, the shopper can compare, ask follow-up questions, or move toward cart. An answer dead-end that leaves the shopper with facts but no guided next step. Seven fixes that usually move fastest If you only have time for one pass this quarter, start with the highest-leverage fixes. 1. Strengthen the first screen Shopify explicitly recommends clear titles, compelling summaries, and visible key details. That first-screen context is also what an AI shopper often uses to form the first answer or product framing. 2. Fill in attribute gaps Shopify calls out detailed specifications, technical details, structured attributes, and sizing or material information for AI systems. If your PDP does not carry the details your support team repeats every day, the page is not ready. 3. Make comparison easier Shopify's AI guidance recommends comparison information with similar products. That does not mean building a giant matrix for every item. It means giving enough context for a shopper or AI assistant to answer questions like "which option is lighter," "which one is better for sensitive skin," or "what should I buy if I need a tighter fit." 4. Clean up FAQs and policies Shopify's Knowledge Base app helps AI platforms understand and represent your store more accurately through customizable store facts and FAQs. Shopify also states that this improves accuracy, not frequency of appearance. That distinction matters: better FAQs will not guarantee distribution, but bad FAQs can absolutely create wrong answers. Useful rule: if your support team has to correct the same answer manually, your AI-facing facts are probably not ready yet. 5. Improve images for retrieval, not just aesthetics Shopify recommends high-quality images with descriptive alt text. For AI shoppers, the image set does more than make the page attractive. It helps clarify colorways, packaging, texture, included components, and what the product really looks like in use. 6. Check taxonomy and catalog fields Shopify's product-optimization guidance calls out titles, descriptions, images, type, vendor, collections, tags, and barcode fields. If those inputs are sloppy, your catalog-level representation is sloppy too. 7. Add a shopper answer layer Even a well-structured PDP can still leave a shopper hunting for the next answer. This is where a conversational layer starts to matter, especially for products with fit questions, shade questions, bundle logic, or "which one is right for me?" comparisons. Mistakes to avoid Treating AI readiness as only a feed problem instead of a PDP and retrieval problem. Assuming Shopify Catalog inclusion means every product page is already ready for AI shoppers. Leaving sizing, material, or care details in support docs but not on the PDP. Publishing FAQs that are technically correct but written too vaguely for a retrieval system to use well. Using generic images that do not help answer real shopper questions. Stopping at information accuracy without giving the shopper a path to compare or buy. How Tolstoy helps once the page is ready Shopify gives merchants a clearer path to product-data readiness. Tolstoy helps turn that readiness into a live shopper experience. On the public AI Sales Agent page , Tolstoy positions AI Sales Agent as an onsite AI shopping agent that answers questions, recommends products, and lets shoppers buy from chat. It also highlights product-level capabilities that map directly to PDP readiness work: Top Questions: surface and answer the top three product questions directly on the PDP. AI search and recommendations: guide shoppers to the right product instead of leaving them to hunt across tabs and collections. Virtual try-on and sizing: add fit context for products where a static description is not enough. Klaviyo connectivity: move shopper signals into smarter follow-up flows after the page-level experience. That is the practical split: Shopify helps make the product legible to AI channels, and Tolstoy helps make the conversation useful once the shopper is on the page. For a related strategic overview, see AI Shopping Agents for Shopify: What Ecommerce Brands Need to Prepare Now . Want product pages that do more than sit there? Use Tolstoy to turn AI-ready PDPs into shopper-facing experiences with product answers, recommendations, fit help, and a faster path to purchase. Start free with Tolstoy Final takeaway An AI-ready Shopify product page is not a cosmetic refresh. It is a structured answer surface. If the page gives an AI shopper clean product facts, comparison context, retrieval-ready FAQs and policies, accurate imagery, and a clear next action, the product becomes much easier to discover, explain, and recommend. Start with one PDP template. Fix the missing attributes. Tighten the FAQs. Then add a shopper-answer layer that helps the page convert the intent it earns. FAQ What makes a Shopify product page AI-ready? An AI-ready PDP has clear product titles and summaries, visible price and availability, detailed attributes, strong imagery with alt text, retrieval-ready FAQs and policies, and the structured data or page signals AI systems need to crawl and understand it. Does Shopify Knowledge Base improve discovery? According to Shopify, Knowledge Base improves the accuracy of AI responses about your store, but it does not affect how often your store appears in AI platform results. Is Shopify Catalog enough by itself? No. Shopify Catalog helps eligible products surface across AI channels, but Shopify still recommends adding strong PDP content such as specs, comparisons, structured attributes, and sizing or material details to help AI systems represent products well. Where does Tolstoy fit in this workflow? Tolstoy helps once the product page is legible. AI Sales Agent can answer product questions, recommend products, support sizing and try-on workflows, and guide shoppers toward purchase directly from the PDP experience. --- # New: Personalized Virtual Try-On Emails for Shopify URL: https://www.gotolstoy.com/blog/personalized-try-on-emails-shopify-klaviyo Author: Rosalie Gill | Published: 2026-06-25 Summary: Tolstoy now helps Shopify brands turn virtual try-on intent into reviewable Klaviyo campaign drafts for upsell, checkout recovery, and re-engagement. Quick answer: Tolstoy now turns try-ons into Klaviyo drafts Tolstoy's new personalized try-on email workflow helps Shopify brands turn virtual try-on intent into reviewable Klaviyo campaign drafts. It builds on a proven onsite behavior: shoppers who try on a product are already showing fit confidence and purchase intent. New workflow: create personalized Klaviyo drafts from virtual try-on behavior. Best first campaigns: post-purchase upsell, abandoned checkout, and tried-on-but-did-not-purchase. Why now: CSB saw a 6.0% site-wide conversion lift after adding Tolstoy AI Sales Agent to PDPs in a 50/50 test. Keep control: the brand reviews the Klaviyo draft before sending. Most ecommerce email personalization starts with what someone bought, browsed, abandoned, or might like next. That is useful, but for apparel, beauty, accessories, and fit-sensitive products, it often skips the question that stopped the shopper in the first place: Will this look right on me? A shopper who completes a virtual try-on has given the brand a stronger signal than a normal page view. They did not only browse. They imagined the product on themselves. That signal already has measurable onsite impact. In Tolstoy's Crop Shop Boutique case study , CSB added AI Sales Agent to PDPs in a controlled 50/50 A/B test and saw a 6.0% site-wide conversion lift, translating to thousands of incremental orders. Now Tolstoy is extending that same virtual try-on signal into email. The new personalized try-on email workflow creates reviewable Klaviyo campaign drafts from shopper try-on behavior, so brands can follow up with the product, image, or recommendation a shopper already showed intent around. That is why virtual try-on belongs in lifecycle email. The email should not restart the conversation with a flat catalog image. It should continue the try-on moment with an image, product, or CTA that reflects what the shopper already did. Why static recommendation emails miss fit intent Product recommendation emails are usually built around purchase history, browse behavior, collections, or merchandising rules. Those are good signals, but they can still feel generic when the shopper's hesitation is about fit, style, shade, or how the product looks on them. A static block can recommend the right category and still fail to answer the personal question. A virtual try-on follow-up can do something more specific: remind the shopper of the item they tried, show a relevant next product, or bring them back to a buying path that already had intent. Klaviyo's post-purchase guidance and Shopify's lifecycle email examples show why segmentation and timing matter. The opportunity for fit-sensitive brands is to add one more signal: what the shopper wanted to see on themselves. Three personalized try-on campaigns to start with Do not start with ten flows. Start with the three moments where try-on intent naturally maps to a useful next email. Post-purchase upsell After a shopper buys, recommend a complementary product and show why it fits the look, routine, or set. Abandoned checkout Bring shoppers back to the item they already considered, with the try-on context still intact. Tried on, no purchase Re-engage shoppers who completed a try-on but never bought, while the fit signal is still fresh. Campaign type Audience Email job Creative angle What to measure Post-purchase upsell Shopper bought recently Recommend a complementary product Show a relevant product as a try-on or invite them to preview the next item Clicks, revenue per recipient, follow-on purchase, unsubscribe rate Abandoned checkout Shopper started checkout but did not order Bring them back to the product they already considered Re-feature the item they tried or return them to the saved product path Recovery rate, checkout completion, revenue per send Tried on, no purchase Shopper completed try-on but never bought Re-engage high-intent shoppers Remind them of the try-on and reduce the fit hesitation Click rate, PDP return rate, purchase rate after click The reason these work as starting points is that each audience has a real buying signal. The email does not need to invent urgency. It needs to pick up the thread. What needs to be connected before you send A personalized try-on email workflow needs more than a nice image. It needs a reliable handoff across identity, try-on behavior, product context, and Klaviyo execution. Shopper identity and consent The brand needs a compliant way to connect the try-on session to an email profile. If the shopper is anonymous or not eligible for marketing email, the brand should not treat that session like a sendable campaign audience. Try-on behavior The system needs to know what the shopper tried, when they tried it, and whether the resulting image or link is still usable. Stale or mismatched try-on creative is worse than no personalization because it breaks product trust. product tried; variant, colorway, size, or shade when relevant; try-on image or restore link; timestamp and recency; whether the shopper later purchased. Product and recommendation logic Post-purchase upsell needs a product that makes sense with the original purchase. Abandoned checkout needs the item the shopper already considered. Tried-on-but-did-not-purchase campaigns need the exact product or a close alternative. Klaviyo draft and review flow For many ecommerce teams, the safest workflow is not full auto-send. It is ready-to-review draft creation. The campaign, segment, subject line, preview text, and email body are assembled for the brand, while the lifecycle team still reviews and sends in Klaviyo. A better workflow: create the campaign, then review and send Pick the audience. Start with post-purchase upsell, abandoned checkout, or tried on but did not purchase. Resolve eligible shoppers. Use Shopify, Klaviyo, and try-on behavior to identify the matching audience. Generate or reuse the try-on. Use an existing try-on when it fits the campaign; generate fresh creative only when it adds value. Create the Klaviyo segment and draft. The draft should be reviewable before it reaches shoppers. Review the campaign. Check creative, copy, audience, links, UTMs, consent, and send pressure. Send from Klaviyo. Keep the lifecycle team in the workflow. Compare performance. Measure against the brand's existing flow or a holdout where possible. The review step is not friction. Lifecycle email touches real customers, real consent boundaries, and real revenue reporting. AI should reduce setup work without removing brand judgment. Personalized try-on email campaign scorecard Use this before turning on a personalized try-on email campaign. Check Good sign Risk to fix before scaling Audience The segment has clear intent: purchase, checkout, or recent try-on behavior The audience is broad, stale, or not tied to a buying moment Consent Shoppers are eligible for marketing email under the brand's consent setup The workflow relies on unidentified shoppers or unclear permission Creative The try-on image or link matches the product and variant Image is stale, wrong variant, low quality, or visually unsafe Product logic Recommendation makes sense as an upsell, return path, or re-engagement Product is random, out of stock, or disconnected from the shopper's action Review flow Campaign is a draft the team can inspect before sending Campaign auto-sends without checking audience, image, copy, or links Cost control Team understands whether fresh try-ons are being generated or reused Large audience generates unnecessary try-ons without a test plan Measurement Klaviyo reporting, UTMs, and comparison logic are defined Brand cannot tell whether the campaign drove incremental value Send pressure Frequency fits the rest of the lifecycle calendar Shopper receives welcome, cart, post-purchase, and try-on emails too close together If three or more rows land in the risk column, keep the campaign in test mode. Personalization should increase confidence, not create a new operational mess. How to measure personalized try-on emails Do not launch this type of campaign with only a "looks cool" success metric. At minimum, track: delivery and open rate; click rate; revenue per recipient; checkout completion or post-click purchase; unsubscribe and spam complaint rate; performance by campaign type. Recommended UTM pattern: utm_source=klaviyo utm_medium=email utm_campaign=personalized_tryon_[campaign_type] utm_content=[audience_or_variant] For larger sends, use a holdout or compare against a similar lifecycle flow. A personalized try-on email should earn its place in the calendar. If it does not outperform the static version or create clearer buying intent, adjust the audience, creative, or timing before scaling. Where teams get this wrong The most common mistake is treating try-on as a decorative email image. The image matters, but the workflow matters more. Sending to everyone who ever tried on once, regardless of recency or consent. Generating fresh try-ons for large audiences when an existing try-on would work. Using a product recommendation that ignores what the shopper tried, bought, or abandoned. Sending without UTMs, then trying to prove impact later. Overlapping the campaign with cart, welcome, and promotional flows. Hiding the review step from the lifecycle team. Claiming conversion lift before the brand has clean results. Personalized try-on email is strongest when it behaves like a measured lifecycle campaign, not a novelty send. How Tolstoy fits Tolstoy AI Sales Agent now connects virtual try-on to lifecycle email. A brand can define the audience it wants to reach, such as post-purchase upsell, abandoned checkout, or tried-on-but-did-not-purchase. Tolstoy resolves the matching shoppers, generates or uses shopper-specific try-on creative where appropriate, and creates a ready-to-review Klaviyo campaign draft. The brand reviews and sends from Klaviyo. That distinction matters. The goal is not to take lifecycle marketers out of the loop. The goal is to remove the manual work between "this shopper showed fit intent" and "we have a relevant campaign draft ready to review." For Shopify brands already using virtual try-on, this creates a new path from product engagement to lifecycle email. For brands still evaluating try-on, it gives the feature a clearer business job: not only helping shoppers decide onsite, but giving the marketing team a more personal follow-up channel. For a related lifecycle workflow, read Tolstoy's guide to using video in Klaviyo flows for Shopify . Want to turn try-on engagement into reviewable lifecycle campaigns? Explore how Tolstoy AI Sales Agent connects virtual try-on, product recommendations, and Klaviyo workflows for Shopify brands. Explore AI Sales Agent Final takeaway Personalized try-on emails work best when they continue a shopper's real product moment. If someone tried on a product, abandoned checkout, or bought something that has an obvious next recommendation, the follow-up should not look like a generic catalog block. It should use the context the shopper already gave you, package it into a reviewable campaign, and measure whether it actually helped. Start with one audience. Build the scorecard. Review before sending. Track the result. Then decide whether to scale. FAQ What is a personalized try-on email? A personalized try-on email is a lifecycle email that uses a shopper's virtual try-on activity to make the message more relevant. It may show the shopper their own try-on image, link back to a saved try-on experience, or recommend a product based on what they tried, bought, or abandoned. Which Klaviyo campaigns are best for virtual try-on? The strongest starting points are post-purchase upsell, abandoned checkout, and tried-on-but-did-not-purchase campaigns. Each one is tied to a clear shopping signal, which makes the email feel more useful than a broad promotional send. Should personalized try-on emails auto-send? For most brands, a reviewable draft is safer than full auto-send. The lifecycle team should confirm the audience, creative, copy, links, consent, and tracking before the campaign goes out. Do personalized try-on emails require Klaviyo? This article focuses on Klaviyo because Tolstoy's personalized try-on email workflow is built around Klaviyo campaign drafts. Other ESPs may support similar concepts if they can store shopper-level properties, dynamic images, or personalized links. How should ecommerce brands measure personalized try-on emails? Track clicks, revenue per recipient, post-click purchase, unsubscribe rate, and performance by campaign type. Add UTMs before launch so the campaign can be analyzed outside Klaviyo and compared against the brand's usual lifecycle flows. --- # How to Create Compliant AI Content for Ecommerce URL: https://www.gotolstoy.com/blog/ai-product-content-brand-trust-ecommerce Author: Rosalie Gill | Published: 2026-06-22 Summary: A practical AI content compliance checklist for ecommerce ads, product images, synthetic UGC, claims, disclosures, rights, and approvals. Quick answer: use seven checks before publishing AI content Compliant AI content is not simply content with an “AI-generated” label. For ecommerce teams, it is content that passes seven checks before it reaches an ad, product page, email, or social feed. Source rights: document permission to use the product assets, people, voices, and creative references. Product truth: confirm the output matches the real SKU, variant, packaging, fit, and features. People and representation: check likeness rights and avoid fake customer experiences or endorsements. Claims: substantiate what the creative says and what it implies. Destination rules: follow the current disclosure, labeling, and feed requirements for the channel. Provenance: preserve required metadata and a record of the approved asset. Human approval: review the final rendered creative in context before it goes live. The useful distinction is not between human-made and AI-made. It is between generated and publishable . Important: this is a practical operating framework, not legal advice. Laws and platform policies change. Recheck primary sources for the campaign, market, product category, and destination before publishing. Why AI content compliance is not one rule An ecommerce asset can pass one review and still fail another. A product image might be visually accurate but use an unlicensed person. A paid ad might include the right disclosure but make a claim the landing page cannot support. A file might be approved internally and then lose required provenance metadata during export. That is why a universal rule such as “label everything made with AI” is not enough. A publish decision has at least four layers: Consumer protection: could the asset mislead a reasonable shopper about the product, person, result, price, or offer? Rights and contracts: does the brand have permission to use the inputs, likenesses, voices, licensed characters, and resulting asset? Destination policy: what does Meta, TikTok, Google, a marketplace, or another channel require for this content type? Brand and product governance: is the final asset accurate, approved, on-brand, and traceable? In customer conversations, the recurring problems are rarely abstract. Teams describe products changing during generation, model or garment details drifting, crop instructions failing to persist, licensee approval slowing production, and uncertainty about disclosure. The practical response is a repeatable publish workflow—not a last-minute legal check. 1. Document source rights before generation Start with a record of what the AI system is allowed to use. This is especially important when a project includes creator content, employee images, synthetic voices, licensed characters, customer reviews, agency files, or reference images found online. A lightweight rights register can prevent an attractive concept from becoming an unusable final asset: Record What to capture Source asset Original file, catalog record, creator asset, voice, model image, or reference Owner and permission Who owns it and where the consent, contract, or license is stored Allowed use Generation, editing, paid media, organic social, PDP, email, or internal concepting Scope Channels, markets, products, formats, and whether derivative or synthetic use is covered Term Start date, expiration, renewal, and takedown requirements “It was publicly available” is not a rights record. Neither is “the creator sent it to us.” If the planned AI use is outside the permission the brand already has, pause and resolve it before generation. 2. Lock product truth before creating variants AI creative should begin with the facts the model is not allowed to change. A prompt alone is a weak source of truth; use approved product photography and structured product information. Create a product truth card for each SKU or product family: SKU, product name, and exact variant; approved pack shot and alternate views; color, dimensions, materials, ingredients, and included components; fit, drape, application, or assembly behavior; packaging, label text, logo placement, and legal copy; approved claims and claims the creative must not make; visual elements that may change, such as background or crop; visual elements that must not change, such as the product silhouette or shade. This matters most when AI creates new contexts around a real product. A beautiful lifestyle image is not publishable if the sofa looks larger than the dimensions on the PDP, the lipstick shade changes, the dress gains a different neckline, or the package shows invented text. If you are building the source imagery first, use the same accuracy checks in this guide to generate AI product images from approved references . 3. Review synthetic people, UGC, and testimonials separately A synthetic person creates a different risk from a synthetic background. The key question is what the shopper is likely to believe about the person and their experience. Separate these formats during review: Synthetic spokesperson: a fictional person presenting product information. Dramatization: a staged demonstration that does not claim to document a real customer result. Creator adaptation: an edit or derivative made from a real creator’s licensed asset. Customer testimonial: a representation that a person used the product and is describing a genuine experience. Do not turn a synthetic person into a fake customer. The FTC’s rule on reviews and testimonials prohibits fake or false reviews and testimonials, including AI-generated reviews attributed to people who do not exist or did not have the claimed experience. For a real person, confirm that the permission covers the planned AI transformation and placement. For a fictional person, review whether the creative could still imply a real endorsement, customer result, professional credential, or relationship with the brand. Licensed IP, talent agreements, unions, and local synthetic-performer laws may add further requirements. The same questions belong in the planning process for an AI influencer persona : identity, disclosure, ownership, allowed claims, and accountable review should be defined before the persona starts producing campaigns. 4. Substantiate explicit and implied claims AI can generate a claim faster than a brand can prove it. The speed of generation does not change the advertising standard. The FTC’s advertising substantiation policy says advertisers need a reasonable basis for objective claims before the claims are disseminated. Review both the words and the overall impression of the creative. That includes: performance, durability, health, safety, sustainability, and comparative claims; before-and-after imagery or demonstrations; visual implications about size, fit, texture, quantity, speed, or results; testimonial-style statements and creator scripts; prices, discounts, urgency, inventory, shipping, and return promises. Then check the click destination. The product page or landing page should support the promise made in the ad. A disclaimer on the destination does not necessarily repair a misleading first impression in the creative. 5. Check the rules for the publishing destination Review the exact destination close to launch. Platform controls and policy language change, and the treatment can depend on whether the asset contains a photorealistic person, significant AI modification, generated audio, or product-feed data. Destination Current primary-source signal Operational check TikTok Ads TikTok describes AIGC disclosure for qualifying completely generated or significantly AI-modified image, video, or audio ads. Review the final asset, enable the applicable disclosure, and recheck duplicated campaigns because the setting may reset. Meta ads Meta labels ads created or significantly edited with its generative AI tools and is expanding treatment for detectable third-party AI content. Check current creative treatment and “About this ad.” Do not assume that one universal advertiser label applies to every AI-assisted asset. Google Merchant Center Google requires specified provenance handling for AI-generated product images and structured treatment for AI-generated titles and descriptions. Preserve required IPTC metadata through export and transformation, then validate the submitted product data. Google advertising tools Google provides an Ads AI label setting for generated or edited assets and notes that the tool does not guarantee compliance. Verify the requirements for the exact campaign and inspect the final rendered treatment. New York synthetic performers New York announced a synthetic-performer advertising disclosure law effective June 9, 2026. Ask counsel whether the campaign and performer fall within its scope and what disclosure is required. European Union The EU AI Act contains context-specific transparency obligations for certain AI-generated or manipulated content, including deepfakes. Determine the content type, role, audience, jurisdiction, and applicable date. Do not treat it as a blanket label rule for every ecommerce image. For TikTok specifically, build disclosure into the campaign checklist alongside the creative. That keeps it connected to the broader workflow for turning a Shopify catalog into TikTok Shop content instead of treating disclosure as an afterthought. 6. Preserve provenance and the approval record A compliant source file can become a noncompliant delivery file if a cropper, CDN, design tool, scheduler, or format conversion strips required metadata. Test the file that will actually be submitted—not only the original export. Keep a compact audit trail for customer-facing AI creative: source assets and rights evidence; product truth card and approved references; generation instructions or meaningful edit history; final rendered version; claims evidence; destination and the policy review date; required disclosure setting or provenance metadata; approver and approval date. The record does not need to become a slow bureaucracy. It needs to let the team answer: what went live, why was it approved, and what should happen if a platform or shopper raises a concern? 7. Make human approval a real publish gate Review effort should rise with the likelihood and cost of misleading someone. Risk tier Example Minimum review Lower Internal moodboard or concept exploration Brand usefulness, source restrictions, and clear internal labeling Medium Organic social creative with no people or objective claims Product truth, brand fit, rights, and channel check Higher Paid ad, PDP asset, synthetic person, testimonial, comparison, demonstration, licensed IP, or regulated claim Product, rights, claims, destination, disclosure, and appropriate specialist approval The reviewer should see the final asset in its actual context: copy, crop, CTA, destination, disclosure, and landing page. Approving a storyboard or prompt is not the same as approving the exported ad. Start with a small pilot. Expand the workflow only after outputs are consistently accurate, reviewers agree on the standard, and the team can trace what was published. “The AI checked it” is not a human approval record. Use this AI Creative Publish Card Copy this card into the creative brief, project tracker, or approval tool. One card should follow each customer-facing asset or closely related batch. Publish check Record Asset and destination Final file/version, placement, market, and campaign Source rights Evidence link, allowed use, restrictions, and expiry Product truth SKU/variant checked against approved references People and representation Likeness, voice, testimonial, creator, and synthetic-person status Claims Express and implied claims plus substantiation link Destination requirement Disclosure, label, metadata, and policy review date Final preview Rendered creative, copy, CTA, and landing page Approval Approver, date, decision, and any restrictions Monitoring Owner for rejection, complaint, correction, or takedown Build a scalable AI creative workflow The operating sequence is straightforward: Approved sources → product truth card → brand context → concept or storyboard → risk-tier review → human approval → limited pilot → destination validation → publish → monitor and retain records. Tolstoy AI Studio can help ecommerce teams create and iterate product-grounded concepts using their catalog, brand context, and creative references. It does not replace the brand’s rights, claims, legal, or channel review. The strongest workflow uses AI to move faster during creation while keeping the publish decision accountable to a person. If a platform rejects an asset or the team discovers a problem, pause the creative and preserve the file, inputs, metadata, settings, landing page, and rejection details. Then identify whether the issue concerns product accuracy, rights, claims, disclosure, feed data, or destination policy before revising or appealing. Final takeaway Ecommerce brands do not need to make AI content look less polished. They need to make the path from generation to publication more disciplined. Ground the asset in real product information. Document the rights. Review people and claims. Check the actual destination. Preserve provenance. Put a person behind the final decision. Explore Tolstoy AI Studio to create product-grounded ecommerce content, then use the seven-gate workflow to decide what is ready to publish. --- # How to Create Custom Shopify PDP Widgets With AI URL: https://www.gotolstoy.com/blog/ai-widget-builder-shopify Author: Rosalie Gill | Published: 2026-06-17 Summary: A practical guide to using AI to create PDP stories, product finders, routine builders, shoppable galleries, and campaign modules for Shopify. Quick answer: use AI to build the store modules shoppers actually need The useful promise is not “AI widget builder.” The useful promise is that an ecommerce team can turn a prompt into a PDP module, quiz, shoppable video section, routine builder, gift guide, or campaign page that feels native to the store. Best first use case: a product detail page module that answers a real buying question. What to build: PDP stories, product finders, routine builders, bundles, review explainers, styling guides, or shoppable galleries. What AI should speed up: layout, copy, product logic, content matching, mobile preview, and iteration. What humans still own: product truth, brand fit, merchandising judgment, and final publish approval. Most Shopify brands do not wake up thinking, “We need an AI widget builder.” They think something more practical: the PDP is too static, the homepage campaign is late, the quiz needs another developer pass, or the product story is buried in a video folder no shopper will ever see. That is the better way to frame this workflow. AI is useful when it helps a lean ecommerce team create custom storefront experiences without starting from a blank Figma file, waiting on theme work, or rebuilding the same module again for every campaign. For Tolstoy, the AI Widget Builder belongs in that lane. It helps teams move from a plain-language request to a shoppable module they can preview, edit, and publish. The feature name matters less than the job: create better onsite shopping moments faster. What Shopify brands are actually trying to build The strongest AI-built widgets usually answer one concrete shopper question. A beauty shopper may need help building a routine. An apparel shopper may need fit and styling proof. A gift shopper may need a guided path through too many products. A returning customer may need a quick way to compare what is new. That means the prompt should start with the shopping problem, not with the component name. Shopper problem Useful widget What the module should include “Will this work for me?” PDP stories or proof carousel UGC, creator videos, reviews, product cards, captions, and clear claims. “Which product should I choose?” Quiz or product finder 2 to 5 questions, product logic, recommended products, and a clear next step. “How do I use this?” Routine builder or tutorial module Steps, compatible products, usage notes, video demos, and bundle options. “What is new or seasonal?” Campaign landing page section Hero products, shoppable video, campaign copy, collection links, and offer context. “Can I trust this product?” Review explainer or social proof module Real reviews, tagged UGC, before/after caveats, and product-specific proof. Where custom PDP widgets help conversion A PDP has one job: help the shopper decide whether this specific product is right for them. Static images and bullet points can do part of that work, but many products need a more guided experience. Custom PDP widgets are especially useful when the product has: fit, shade, size, or compatibility questions; multiple variants or routine steps; strong UGC that is not visible near the buy box; education that is too long for normal PDP copy; bundle logic that needs to feel helpful, not random; seasonal creative that should change faster than the theme. A good widget does not decorate the page. It removes a reason to hesitate. Five examples of AI-built Shopify widgets 1. PDP stories for product proof Use short vertical videos to show the product in use, answer common objections, and keep product cards visible. This works well for beauty, apparel, accessories, home goods, wellness, and anything where shoppers want to see the product outside a studio shot. Prompt: Create PDP stories for our bestselling serum. Use product-tagged videos, show product cards, add captions, keep the design clean, and title the section “See it in real routines.” 2. Routine builder for multi-step products A routine builder helps shoppers understand which products belong together and in what order. It is useful when AOV depends on education, not only discounting. Prompt: Build a three-step morning routine module for oily skin. Recommend cleanser, serum, and SPF. Include one short explanation per step, product cards, and an “Add routine” path. 3. Quiz for product discovery A quiz works when the catalog has too many similar choices. Keep it short and make the output specific enough that the shopper trusts the recommendation. Prompt: Create a four-question product finder for first-time shoppers. Ask about skin type, main goal, sensitivity, and preferred texture. Recommend one hero product plus one optional add-on. 4. Shoppable campaign module Use this when a launch or seasonal campaign needs a richer module than a collection grid. Pair campaign creative with tagged products, creator clips, or a guided set of bestsellers. Prompt: Build a holiday gift guide module with three shopper paths: under $50, bestsellers, and self-care sets. Use shoppable videos and keep the layout mobile-first. 5. Comparison or bundle helper When products look similar, a comparison module can reduce decision fatigue. When products work together, a bundle helper can explain why. Prompt: Create a comparison widget for our three moisturizers. Show best for, texture, finish, key ingredients, and product cards. Add a short video to each recommendation. How to prompt an AI widget builder A good prompt reads more like a merchandising brief than a chatbot command. It should tell the system what page the module belongs on, what shopper question it should answer, what products and content it should use, and what brand rules it must respect. Page: PDP, homepage, collection page, quiz page, campaign landing page, or post-click page. Shopper job: choose the right product, understand usage, compare variants, build a bundle, or see proof. Inputs: product catalog, tagged videos, reviews, UGC, approved claims, brand files, and creative references. Design rules: spacing, corners, typography direction, motion, captions, colors, product cards, and mobile behavior. Publish rules: where it should appear, what should happen if content is missing, and what to test after launch. Better prompt pattern: “Create a [page/module] for [shopper problem]. Use [products/content sources]. Match [brand style]. Include [shopping behavior]. Optimize for [mobile or desktop need].” How to review before publishing AI can create a strong first draft, but the review bar should be the same as any other customer-facing storefront change. Product accuracy: products, prices, variants, claims, and recommendations match the real catalog. Brand fit: the module looks like it belongs on the store, not like a pasted-on experiment. Mobile behavior: text is readable, cards are tappable, videos crop correctly, and nothing blocks the buy path. Content quality: videos, reviews, and prompts are current, useful, and approved for the page. Shopping path: product cards, CTAs, bundle actions, and links lead to the expected destinations. Measurement: the team knows what it is trying to learn after publishing. How Tolstoy fits Tolstoy’s AI Widget Builder helps ecommerce teams create shoppable storefront modules from prompts and brand/product context. Teams can use it to create PDP stories, homepage modules, shoppable galleries, quizzes, product education, and custom campaign experiences, then review the output before publishing. The bigger advantage is that Tolstoy connects the widget to the rest of the commerce workflow. AI Studio can help create brand-aware assets. AI Player turns video into shoppable onsite experiences. The widget builder gives those assets a place to live on the storefront. That is how AI becomes useful for Shopify teams: not as a vague content generator, but as a way to create specific, reviewable shopping experiences from real products, brand rules, and campaign goals. To map the right widget ideas for your store, book a free AI Studio demo . Final takeaway The phrase “AI widget builder” is less important than the workflow it unlocks. Shopify brands need faster ways to create product-specific, brand-safe storefront modules that help shoppers decide. Start with one high-intent use case. Build PDP stories for a bestseller, a routine builder for a hero category, or a quiz for a confusing product set. Review it like a real storefront change. Then use the learnings to decide what to build next. Start building with Tolstoy and turn product content into shoppable storefront experiences. FAQ What can Shopify brands build with AI? Shopify brands can use AI to plan and create PDP stories, shoppable video sections, quizzes, product finders, routine builders, bundles, gift guides, and campaign landing page modules. The best use cases start with a shopper question or buying moment, not with a generic widget request. Should AI-built widgets replace ecommerce design review? No. AI can speed up the first draft and make iteration easier, but ecommerce teams should still review product accuracy, brand fit, mobile behavior, page speed, links, and the shopping path before publishing. Where should a brand place its first AI-built widget? Start on a high-intent page. PDPs are usually the best first test because shoppers are already evaluating a product and the widget can answer questions about fit, use, styling, ingredients, reviews, bundles, or social proof. Do AI-built Shopify widgets need developer help? The goal is to reduce custom development for common storefront modules. Some teams may still involve developers for theme rules, complex data, or unusual layouts, but a no-code publishing flow is usually enough for PDP stories, carousels, quizzes, and campaign modules. --- # Meta Ads Strategy for Ecommerce Brands URL: https://www.gotolstoy.com/blog/meta-ads-strategy-for-ecommerce Author: Rosalie Gill | Published: 2026-06-17 Summary: A practical Meta ads strategy for ecommerce teams using AI to plan clearer tests, create better variations, match landing pages, and learn faster. Quick answer: better Meta ads come from clearer tests A strong Meta ads strategy for ecommerce is a learning loop: choose one hypothesis, create focused variations, send traffic to a matching page, read the result, and turn that result into the next brief. Start with: product, audience, offer, objection, and landing page context. Use AI for: faster briefs, creative variants, page matching, and reporting summaries. Avoid: launching a folder of unrelated assets and calling it a test. Measure: angle, format, landing page, conversion quality, and next action. Most ecommerce teams can produce more Meta ads now. That is not the hard part. The hard part is knowing what each test is supposed to teach. When every hook, format, audience, offer, and landing page changes at once, the campaign may still spend money, but the learning gets blurry. A better Meta ads strategy turns creative production into a system the team can read. AI can help, but only when it supports that system. The goal is not more random creative. The goal is better test design, faster asset production, stronger message match, and cleaner next steps. Start with a campaign hypothesis Before asking AI for ad ideas, write the sentence the campaign is testing. Example: “First-time buyers will respond better to a routine-building angle than a discount angle because they need help choosing the right starter set.” That one sentence gives the campaign structure. It tells the team which creative to make, which landing page to build, and what the result means. A weak hypothesis sounds like “test new summer ads.” A stronger one names the shopper, the angle, the reason, and the decision the team will make afterward. Use a creative testing matrix A simple matrix keeps the team from mixing too many variables. Pick one product or offer, then compare angles in a way that will be readable later. Variable Example options Keep stable Audience angle First-time buyer vs. returning customer Product, offer, landing page structure Message angle Routine help vs. social proof Audience, format, product Format UGC-style video vs. product demo Hook, product, CTA Offer Starter bundle vs. single hero product Audience, page, creative style Landing page PDP vs. campaign page Ad angle and product set This does not have to be complicated. A clean first test might use two angles, two or three creatives per angle, and one matched page per angle. Use AI to create variation without losing the point AI is useful when it creates range inside a strategy. It is less useful when it generates disconnected ideas that all test different things. Feed the AI the campaign hypothesis, product context, approved claims, audience notes, past winners, UGC references, and the page the ad will lead to. Then ask for variations that hold the strategy steady. Prompt: Create six Meta ad hooks for a routine-building test. Keep the audience as first-time skincare buyers, the product as our starter set, and the CTA as “Build your routine.” Vary the opening line, not the core promise. That kind of prompt gives the team options without destroying the test. Match each ad angle to a page The click should not feel like a reset. If the ad is about a starter routine, the page should show the starter routine. If the ad is about creator proof, the page should keep creator proof visible. If the ad is about product comparison, the page should help shoppers compare. Ad angle Best page experience What to include Routine help Routine builder or guided PDP module Steps, products, usage notes, bundle CTA Social proof Shoppable video or PDP stories UGC, reviews, product cards, captions Product education Explainer landing page or PDP section Benefits, ingredients/features, objections, FAQ Gift guide Campaign landing page Shopper paths, price points, bundles, video This is where onsite experience matters. A strong ad can lose momentum if it points to a generic PDP that does not continue the promise. A practical seven-day test plan Day 1: choose the product, offer, and one hypothesis. Day 2: gather product context, reviews, UGC, brand rules, and previous winners. Day 3: generate hooks, scripts, statics, and video variations around the same angle. Day 4: build or adjust the matching landing page experience. Day 5: review claims, product accuracy, creative quality, and links. Day 6: launch with clean naming so results are readable. Day 7: summarize what won, what was inconclusive, and what to test next. The timing can change, but the sequence should not. Strategy first, production second, learning third. What to report after the test A useful recap should help the next campaign get better. Do not stop at spend and ROAS. Capture what the team learned about the customer and the page experience. Which angle won? Which format held attention? Which landing page converted better? Which objections still showed up in comments, support, or on-site behavior? Which creative should be adapted for PDPs, email, TikTok Shop, or shoppable video? What is the next clean hypothesis? AI can help turn raw results into the next brief, but the team still needs to decide what counts as a meaningful win. How Tolstoy fits Tolstoy helps ecommerce teams connect creative, storefront, and post-click experience. AI Studio helps create brand-aware ad concepts, product visuals, and video variations. AI Player turns video into shoppable experiences on PDPs, landing pages, email, and social surfaces. Tolstoy’s widget workflows help teams create the onsite modules that continue the ad after the click. That matters because Meta strategy does not end in Ads Manager. The ad, page, product story, and next test all need to work together. For a walkthrough of turning one product brief into test-ready creative, book a free AI Studio demo . Final takeaway The best Meta ads strategy for ecommerce is not the one with the most assets. It is the one where every asset belongs to a clear test. Use AI to move faster, but keep the campaign readable: one hypothesis, focused variations, a matching page, and a recap that tells the team what to do next. Get Tolstoy for free and build the creative-to-storefront loop faster. FAQ What is the best Meta ads strategy for ecommerce? The best Meta ads strategy starts with one clear hypothesis, creates enough creative variation to test that hypothesis, sends each angle to a matching page, and uses the result to brief the next test. How should ecommerce brands use AI for Meta ads? Use AI to organize inputs, generate variations around one angle, adapt landing pages, summarize results, and prepare the next brief. Avoid using AI only to create random ad volume. How many creatives should a brand test at once? A practical first test is one product or offer, two angles, two or three creatives per angle, and one or two matching landing page experiences. The goal is a readable result, not the biggest possible batch. Why do landing pages matter for Meta ads? Landing pages preserve message match after the click. If the ad promises one use case, proof point, or product story, the page should continue that same angle so the shopper does not have to restart their decision. --- # How to Structure UGC Ads That Stop the Scroll URL: https://www.gotolstoy.com/blog/how-to-structure-ugc-ads Author: Rosalie Gill | Published: 2026-06-15 Summary: Learn a simple four-part UGC ad framework: hook, problem, product solution, and CTA. Includes examples for ecommerce brands. Quick answer: use a four-part UGC ad structure A strong UGC-style ad should move through four simple beats: hook, problem, product solution, and CTA. The hook earns attention, the problem makes the ad feel relevant, the product shows the fix, and the CTA gives the viewer a clear next step. Primary formula: Hook -> Problem -> Product solution -> CTA Best for: paid social, PDP videos, email creative, shoppable video, and creator briefs. AI Studio use case: turn one framework into multiple AI-generated UGC-style ad variations for different angles, products, and channels. The simple UGC ad formula The best UGC-style ads usually do not feel like ads at first. They feel like a quick recommendation, a small discovery, or a creator talking through a real problem in their own words. That is what makes the format useful for ecommerce teams: a strong UGC ad can introduce a product quickly, make the problem feel familiar, and give the viewer a simple reason to click. Hook: stop the scroll in the first few seconds. Problem: name the customer frustration clearly. Product solution: show why this product solves that problem. CTA: tell the viewer what to do next. That structure keeps the ad easy to follow. It also gives every scene a job. 1. Start with a fast hook The hook is the first moment that decides whether someone keeps watching. It does not need to be overproduced. UGC often works better when the opener feels natural: a creator picking up the product, reacting to a detail, or saying something that sounds like it came from a real recommendation. Hook examples "I have to show you something." "I finally found one that actually works." "If you are always dealing with this, watch this." "This looked too good to be true, but..." The goal is not to explain everything. The goal is to create enough curiosity for the viewer to stay. 2. Name the problem clearly Once the viewer is watching, make the ad relevant. The problem should sound like something the customer already thinks, feels, or says. A vague problem makes the product feel random. A specific problem makes the product feel useful. Problem example "I always struggle to find a tote bag that is functional but still cute." That line works because it gives the viewer a real buying tension. The customer does not just want a tote bag. They want one that fits their life without feeling boring or overly practical. Good pain points are specific, believable, and easy to understand in one sentence. 3. Introduce the product as the fix After the problem is clear, bring in the product as the answer. This is where many UGC ads get too broad. Instead of listing every feature, focus on the traits that solve the problem fastest. If the issue is finding a bag that looks good but still holds everything, show the bag in use. If the problem is price, quality, fit, comfort, speed, or convenience, make that benefit obvious. Product solution example "Until I found this. It looks high quality, but it was not that expensive." That kind of line feels like a discovery. It connects the product to the pain point without sounding like a polished brand script. 4. End with a clear CTA A strong UGC ad should not fade out. Once the viewer understands the product, tell them exactly what to do next. Keep the CTA short and direct. CTA examples "Check out the link in my bio." "Tap to shop it." "You need to go get this." "I linked it here." "Try it before it sells out." The CTA should match the ad placement. For TikTok, Instagram, creator whitelisting, and short-form paid social, casual language usually feels more native than formal copy. UGC ad script template Use this template when briefing a creator or building AI-generated creative: I have to show you this. I always struggle with [specific problem], and most [product category] are either [bad option] or [bad option]. But I found this [product], and it actually [main benefit]. It has [supporting detail], [supporting detail], and it still [emotional or practical payoff]. Tap to shop it. Example script I have to show you this. I always struggle to find a tote bag that is functional but still cute. Most are either too bulky or do not fit enough. But I found this one, and it actually fits my laptop, makeup bag, and water bottle without looking huge. It looks high quality, but it was not that expensive. Tap to shop it. How ecommerce teams can use this framework This structure works well for product launches, paid social tests, PDP videos, email creative, and UGC programs . Start with one product and write three variations: Curiosity angle: lead with a surprising or scroll-stopping opener. Problem angle: lead with the frustration the shopper already feels. Benefit angle: lead with the product outcome or strongest selling point. Then keep the middle of the ad tight. The viewer should understand the product, the problem, and the reason to care within a few seconds. The same structure can also help teams brief creators more clearly, because every creator knows the job of each section. How to generate AIGC from this framework in Tolstoy AI Studio Once you have the structure, you do not need to start every ad from scratch. Tolstoy AI Studio helps ecommerce teams generate AIGC, including product videos, ad creative, and UGC-style assets, from existing product imagery, catalog data, and brand inputs. Instead of waiting on a full shoot or manually editing every variation, teams can use the same four-part framework to create more ad concepts faster. AI Studio workflow Choose the product and audience. Start with one SKU, one buyer problem, and one channel. Write the four-part prompt. Give AI Studio the hook, problem, product solution, and CTA you want the asset to follow. Generate multiple creative angles. Test curiosity-led, problem-led, benefit-led, and product-led versions. Review for brand fit. Keep the output natural, specific, and useful instead of overly polished. Publish or repurpose the strongest assets. Use them across ads, product pages, email, social, or shoppable video placements. Angles to generate first Top-of-funnel: a curiosity-led hook that introduces the product quickly. Consideration: a problem-led version for shoppers comparing options. Retargeting: a benefit-led version that reinforces the main reason to buy. Product page: a product-specific version that shows the item in use. The goal is not to make every video look overly polished. The goal is to create useful, on-brand creative that still feels native to the way people watch and shop today. With AI Studio, ecommerce teams can move from a single UGC script structure to a full set of AI-generated content variations. Teams that also use AI Player can bring those videos into shoppable experiences across the storefront. Want to see this framework turned into catalog-specific ad concepts? book a free AI Studio demo . Final takeaway A strong UGC ad does not need a complicated script. It needs a fast hook, a real problem, a product that clearly solves it, and a CTA that makes the next step obvious. Keep it relatable, easy to understand, and quick to watch. When you are ready to scale that workflow, use Tolstoy AI Studio to generate UGC-style AIGC from your product assets and turn one good structure into many creative variations. FAQ What is the best structure for a UGC ad? The best structure for a short UGC ad is hook, problem, product solution, and CTA. This flow makes the ad easy to understand and gives the viewer a clear next step. How long should a UGC ad hook be? The hook should usually happen in the first few seconds. It can be a quick line, product reveal, creator reaction, or familiar problem that makes the viewer want to keep watching. How can ecommerce teams use AI Studio for UGC ads? Ecommerce teams can use Tolstoy AI Studio to generate AI-created UGC-style ad variations from product imagery, catalog data, and brand inputs, then test different hooks, problems, benefits, and CTAs. What does AIGC mean in ecommerce creative? AIGC means AI-generated content. In ecommerce creative, that can include AI-generated product videos, images, ad concepts, and UGC-style assets created from product and brand inputs. --- # Why Prompting Matters for Apparel Brands Creating AI Content URL: https://www.gotolstoy.com/blog/why-prompting-matters-apparel-ai-content Author: Rosalie Gill | Published: 2026-06-15 Summary: For apparel brands, better prompts create cleaner AI product photos, videos, and ads. Learn how to guide fabric, fit, styling, and brand safety. Quick answer: prompting controls whether AI content is usable Prompting matters for apparel brands because AI content has to understand the product, not just create a pretty image. A stronger prompt helps guide the garment, fabric, crop, styling, model presentation, and brand safety before the output is generated. Why it matters: apparel creative depends on fit, texture, silhouette, color, construction, and styling consistency. What prompts should define: product type, commercial use case, crop, fabric details, reference image instructions, and brand rules. Where this is most important: bras, underwear, shapewear, swimwear, activewear, base layers, and any product where fabric and fit presentation are central. How Tolstoy helps: Tolstoy AI Studio helps ecommerce teams generate product photos, videos, ad creative, and social assets from catalog and brand inputs. Why prompts matter for apparel brands For apparel brands, AI content is only useful if the product stays accurate, polished, and commercially appropriate. A vague prompt can produce an image that looks interesting but misses the point: the fabric texture is wrong, the crop feels awkward, the product detail is softened, or the styling does not match the brand. A better prompt works more like a creative brief. It tells the AI tool what the asset is for, what the garment needs to show, what details must stay accurate, and what kind of image would be safe to use across ecommerce channels. Apparel AI content needs product direction Apparel is more sensitive to small creative choices than many other product categories. The same bralette, bodysuit, legging, or swimsuit can feel premium, casual, technical, or off-brand depending on crop, lighting, pose, styling, and wording. That is why prompting matters so much. It gives the model product direction before it makes creative decisions. For bras, underwear, base layers, shapewear, swimwear, and similar products, the prompt should make one thing unmistakable: this is professional product content, not body-focused content. 1. Prompt for the commercial context first Start by naming the kind of asset you want. Use phrases like professional ecommerce photography , catalog product image , apparel campaign image , PDP product visual , or brand-safe social ad creative . This tells the AI tool how the output should behave. A PDP image needs clarity. A paid social asset needs a stronger hook. A campaign image needs more styling direction. The prompt should make that job clear. Prompt example: Professional ecommerce product photo of a ribbed knit bralette on an AI-generated model, clean studio lighting, neutral background, garment-focused composition. 2. Define crop and framing so the product stays central Composition is one of the fastest ways AI apparel content can go wrong. If the crop is too broad, the product may get lost. If it is too close, the result may feel less useful for ecommerce. When appropriate for the product, use a professional crop such as neck to mid-thigh . That framing can keep bras, underwear, shapewear, and similar apparel visible while keeping the image commercial and product-focused. Prompt example: Neck-to-mid-thigh crop, centered on the garment, professional catalog styling, neutral pose, clean product presentation. The goal is to show the product clearly in a way that feels appropriate for a product page, paid ad, email, or shoppable experience. 3. Describe fabric, fit, and construction The strongest prompts for apparel brands sound like they were written by someone who understands the product. Instead of relying on broad words like nice, flattering, premium, or stylish, describe the actual garment details a shopper needs to see. Textile and garment language to use Fabric: ribbed knit, cotton modal, satin finish, mesh paneling, brushed jersey, seamless knit. Construction: bonded edge finishing, underband support, flat seams, adjustable straps, molded cup shape. Texture: visible ribbing, fine knit pattern, soft matte finish, smooth stretch fabric. Fit presentation: clean silhouette, natural fit, product-centered pose, consistent styling. This kind of language gives the model usable instructions and keeps the creative focused on the product instead of generic fashion imagery. 4. Use reference images to protect product detail Reference images are especially important for apparel because the details matter: ribbing, knit patterns, seams, edge finishing, lace, color, and silhouette can all change the way a product is understood. When you include a reference image, tell the model exactly what to preserve. Prompt example: Use the reference image to preserve the ribbed knit texture, soft matte fabric finish, underband shape, and neutral color. Keep the final image clean, commercial, and garment-focused. This reduces the chance that the output invents new construction details or smooths away the texture that makes the product recognizable. 5. Keep brand safety in the prompt For apparel brands, brand safety is not only about avoiding the wrong words. It is about making sure the final asset feels appropriate for the product category, channel, and audience. A useful prompt should define the level of polish, styling restraint, model presentation, and commercial use case. This is especially important for intimate apparel and close-fitting clothing. Prompt example: Keep the image polished, commercial, garment-focused, and appropriate for an ecommerce product page. Prioritize fabric quality, silhouette, fit presentation, and styling consistency. Prompt template for apparel brands generating AI content Use this structure when creating AI product photos, product videos, or ad creative for apparel: Create [content type] for [product type] using professional ecommerce styling. Show [garment] with [crop/framing] and [lighting/background]. Preserve [fabric texture], [construction detail], [color/material finish], and [silhouette] from the reference image. Keep the output product-focused, polished, commercial, and aligned with [brand style or channel]. For intimate apparel or close-fitting products, add more explicit direction around crop, garment focus, and commercial presentation. Checklist before generating AI content Before you generate, check whether the prompt answers these questions: What is the content for? PDP, paid social, email, landing page, shoppable video, or another channel? What product is being shown? Product type, key feature, fabric, color, and silhouette. What should the image preserve? Texture, seams, edges, construction, fit, color, and material finish. What crop keeps the content product-first? Full body, cropped product shot, neck-to-mid-thigh, flat lay, or detail shot. What brand rules matter? Styling, polish, model presentation, background, lighting, and tone. What should be reviewed before publishing? Product accuracy, brand fit, channel fit, and commercial appropriateness. How Tolstoy AI Studio helps apparel brands generate AI content Tolstoy AI Studio is built for ecommerce teams that need on-brand product visuals, product videos, ad creative, and social content from existing catalog and brand inputs. For apparel brands, that means prompts can become a repeatable creative system. Instead of starting from scratch every time, teams can use product-specific prompt patterns to generate PDP images, social-ready assets, model shots, campaign concepts, or shoppable video creative. The practical workflow is simple: Start with the product asset. Use the garment image, catalog data, or brand context. Add prompt instructions. Define crop, fabric, construction, styling, channel, and brand safety. Generate content variations. Create different product photos, videos, ad creatives, or social assets. Review before publishing. Approve, tweak, or regenerate outputs that need more product or brand direction. Repurpose across channels. Use the final creative across PDPs, PLPs, email, social, ads, or shoppable video placements. Work with Tolstoy's AI strategist team Prompting works best when it is tailored to the brand, product category, and creative channel. A premium basics brand, a technical activewear brand, and a lingerie brand may all need different prompt libraries, even if the core principles are similar. Tolstoy's AI strategist team helps ecommerce teams learn best prompting methods for apparel and develop prompting practices that fit each brand's specific needs. That can include category-safe language, product-specific templates, styling rules, and repeatable workflows for generating creative in AI Studio. For teams using Tolstoy AI Studio , the goal is to make prompting repeatable: one clear brand framework that helps teams generate more useful product imagery, videos, and shoppable creative without starting from scratch every time. If you want help turning product detail and brand rules into reusable prompt systems, book a free AI Studio demo . Final takeaway Prompting is important for apparel brands because apparel AI content has to do more than look good. It has to show the product clearly, preserve the details shoppers care about, and fit the brand's commercial standards. When prompts define the product, fabric, crop, styling, reference details, and channel, AI-generated content becomes much easier to review, reuse, and scale. And when teams are ready to build that workflow into a repeatable system, Tolstoy AI Studio can help turn strong prompting practices into on-brand ecommerce creative. FAQ Why is prompting important for apparel brands generating AI content? Prompting is important because apparel content depends on product accuracy, fabric detail, fit presentation, crop, styling, and brand safety. Better prompts give AI tools clearer instructions before they generate images, videos, or ads. How should apparel brands prompt AI for bras or underwear product photos? Use professional ecommerce or catalog framing, describe the garment and fabric details, and keep the composition product-focused. A neck-to-mid-thigh crop can help keep the output commercial for many intimate apparel products. What details should an apparel AI prompt include? Include the content type, product type, crop, fabric, construction details, color, material finish, reference image instructions, brand style, and intended channel. Why use reference images for AI apparel content? Reference images help preserve product-specific details such as ribbing, knit patterns, color, edge finishing, and silhouette. They give the model a clearer visual anchor. Can Tolstoy AI Studio help apparel brands generate AI content? Yes. Tolstoy AI Studio can help ecommerce teams generate product images, product videos, ad creatives, and social content from catalog and brand inputs, then review or regenerate outputs before publishing. Does Tolstoy help brands create better prompting practices? Yes. Tolstoy's AI strategist team helps teams learn best prompting methods for apparel and identify prompt patterns that fit their product category, brand rules, and creative goals. --- # What Is an Agentic Storefront? A Practical Guide for Shopify Brands URL: https://www.gotolstoy.com/blog/what-is-agentic-storefront-shopify Author: Rosalie Gill | Published: 2026-06-12 Summary: Learn what an agentic storefront is, how it differs from a chatbot, and what Shopify brands need to launch one that actually helps shoppers buy. If your team keeps hearing terms like AI storefront , agentic storefront , and AI shopping agent , the language can start to blur fast. It helps to separate them. An agentic storefront is not just a chatbot added to a Shopify site. It is a shopping experience that can understand intent, use product and policy context, guide a shopper toward the right item, and help them take the next action without forcing them to hunt through the store alone. That is the useful way to think about the term: less like a widget, more like a guided commerce system. What is an agentic storefront? An agentic storefront is a storefront designed to act more like a shopping assistant than a static catalog. Instead of only showing products and filters, it can help a shopper: describe what they want in plain language get product recommendations ask product or policy questions compare options move toward add-to-cart or checkout In other words, the storefront becomes conversational and decision-oriented, not just navigational. This is related to Model Context Protocol , which gives AI systems a standard way to connect to tools and data sources. MCP is not the storefront itself, but it helps make connected agent workflows possible. Why the term is showing up now The phrase has become more visible in 2026 because ecommerce platforms, AI clients, and commerce operators are all pushing toward the same direction: shopping that starts in conversation, not only in search and navigation. Vogue's coverage of Shopify's agentic storefront push framed the shift around discovery through AI channels. A later Vogue interview focused on what an agentic storefront looks like in practice : a storefront that behaves more like a guided assistant than a fixed page structure. That matches what many Shopify brands are now seeing firsthand. Shoppers are getting product discovery help from ChatGPT, AI-powered search surfaces, and onsite assistants. The storefront has to respond to that change. If product discovery is becoming more conversational, then the storefront cannot stay purely static. An agentic storefront is bigger than a chatbot This is the distinction most teams need to get right. A chatbot is usually just an interface. It can answer questions, but it often sits on top of the storefront without changing how the storefront actually works. An agentic storefront is broader. It includes: a conversation layer for shopper questions and recommendations a product context layer with clean catalog and policy data a content layer that helps shoppers decide, including video, demos, and UGC an action layer that lets a shopper move from question to product to cart a workflow layer that helps the team keep all of that current That is why AI shopping agents are only one part of the picture. The agent matters, but so does everything behind it. What Shopify brands need before launching one Most brands do not need to rebuild their storefront from scratch. They do need the right inputs. The minimum useful setup looks like this: Clean product data. If titles, descriptions, variants, and attributes are inconsistent, the assistant will not guide well. Clear policy answers. Shipping, returns, sizing, and availability need plain answers that can be surfaced fast. Decision-making content. Product images help discovery, but shoppers often need richer context to buy. Demo videos, UGC, and guided explanations matter. A path to action. The experience should not stop at an answer. It should help the shopper compare, choose, and move toward cart. Operational ownership. Someone on the team still needs to maintain product truth, content freshness, and the quality of the shopping flow. This is where many "AI storefront" experiments stall. Teams add a conversational layer, but they do not strengthen the product, content, and action layers underneath it. Where Tolstoy fits in an agentic storefront stack Tolstoy fits on the part of the stack that shoppers actually feel. AI Sales Agent gives brands an onsite shopping assistant that answers questions, recommends products, and helps guide shoppers toward purchase. That covers the conversational layer. AI Player adds the content layer that many storefront assistants still miss: shoppable video, product-linked storytelling, and richer context around the item. That matters because shoppers often do not buy after a text answer alone. They buy when the answer is paired with proof, examples, and a clearer sense of what the product looks like in use. Tolstoy also gives teams a workflow layer. The public Tolstoy MCP setup lets teams connect Tolstoy to clients like ChatGPT, Claude, Cursor, and Codex so content and storefront work can happen from the same chat surface instead of across disconnected tools. In practice, that means an agentic storefront stack is not only about answering shopper questions. It is also about helping the team produce, update, and manage the content that keeps the shopping experience useful. To see how AI Studio, AI Player, and AI Sales Agent fit together for your storefront, book a free AI Studio demo . The mistake to avoid The biggest mistake is treating an agentic storefront like a discoverability feature only. Getting discovered in AI-driven shopping matters. But discovery is only the first part. If a shopper lands in a storefront experience and still cannot understand fit, compare options, see product context, or move confidently toward purchase, then the storefront is not really agentic in the way that matters. It is just conversational on the surface. The brands that win here will connect two layers: external and onsite AI discovery onsite decision support and conversion That is why the future storefront is not just a search box with AI. It is a system that helps a shopper buy. What to do next If you are evaluating an agentic storefront for Shopify, start by asking four practical questions: Can the experience answer real product and policy questions accurately? Can it recommend products in a way that feels guided instead of generic? Does it have strong content support, especially video and product context? Can the team keep it current without adding another messy workflow? If the answer is no on any of those, the opportunity is not just to add AI. It is to improve the storefront system itself. Ready to build the shopper-facing layer? Explore AI Sales Agent , see how AI Player adds shoppable video to the journey, or learn how Tolstoy MCP connects the workflow side. FAQ What is an agentic storefront? An agentic storefront is a shopping experience that can understand shopper intent, use product and policy context, guide recommendations, and help the shopper move toward purchase instead of only browsing a static catalog. How is an agentic storefront different from a chatbot? A chatbot is usually just one interface layer. An agentic storefront includes the conversation layer plus the product, content, policy, and action layers that help a shopper actually decide and buy. Do Shopify brands need MCP to build an agentic storefront? Not every shopper-facing experience needs MCP directly, but MCP helps connect AI systems to the tools and data sources behind the experience. It is part of the connective layer that makes agent workflows more useful. How does Tolstoy help with an agentic storefront? Tolstoy helps Shopify brands cover the shopper-facing and workflow layers: AI Sales Agent for guided shopping, AI Player for shoppable video, and Tolstoy MCP for connected content and storefront operations from AI clients. --- # Shopify AI Toolkit vs. MCP: What Ecommerce Teams Actually Need URL: https://www.gotolstoy.com/blog/shopify-ai-toolkit-vs-mcp-ecommerce Author: Rosalie Gill | Published: 2026-06-12 Summary: A practical guide to where Shopify's AI Toolkit and Dev MCP help, where they stop, and when ecommerce teams need Tolstoy MCP for creative workflows. If your team is already using Codex, Cursor, or Claude around Shopify, you have probably seen two ideas start to blur together: Shopify's new AI Toolkit and the broader push toward MCP-powered workflows. They are related, but they are not interchangeable. Shopify's AI Toolkit and Dev MCP are useful because they make AI assistants much more reliable inside the Shopify ecosystem. They give your agent better access to Shopify documentation, schemas, validation, and store actions. That is a real step forward for teams that want to move faster without guessing their way through APIs or admin tasks. But once you leave pure Shopify correctness and move into real ecommerce execution, you hit a different problem. Your team still needs a workflow layer for content, media, shoppable experiences, and campaign operations across the storefront. That is where MCP becomes more than a developer convenience. It becomes an operator interface. Why this matters now Shopify highlighted full MCP support in its Winter '26 Editions launch, and its official AI Toolkit documentation now gives teams a cleaner path to use AI tools such as Codex, Claude Code, and Cursor with Shopify resources. That matters because more ecommerce teams are moving daily work into AI clients, not just writing code in an IDE. The shift creates a new question for brands: what should live inside Shopify-native AI tooling, and what should live in a broader workflow layer? If you get that split right, your team moves faster with less manual coordination. If you get it wrong, you end up with an AI setup that can answer platform questions but still cannot run the actual content and merchandising work your growth team needs. What Shopify AI Toolkit and Dev MCP actually do Shopify's official position is straightforward: the AI Toolkit connects AI tools to Shopify's developer platform and store management capabilities through a plugin, skills, or an MCP server. In practice, that means your assistant gets better context about Shopify docs, APIs, schemas, and execution paths. That makes the toolkit useful for tasks like: understanding Shopify APIs and implementation patterns validating Shopify-related code before it breaks in production executing supported store-management workflows through Shopify's tooling giving Codex, Cursor, or Claude a more trustworthy Shopify context This is the right foundation for anything where Shopify is the system of record. If your question is "How should this app call Shopify?" or "What is the correct way to structure this store task?" Shopify's own toolkit should be the first place your agent looks. Where Shopify-native tooling stops The problem is that ecommerce teams do not just need correct platform access. They need execution across creative, merchandising, publishing, and post-click experiences. A growth operator is not only asking: "Is this API call valid?" They are also asking: "Can I generate a new shoppable video asset for this launch?" "Can I update product tagging inside the media library?" "Can I publish a widget variation for a campaign?" "Can I turn a creative idea into storefront-ready content without bouncing between tools?" Those are workflow questions, not just platform questions. Shopify's AI Toolkit improves how an agent works with Shopify. It does not, by itself, become the operating layer for your brand's video, creative iteration, shoppable experiences, or campaign assets. That distinction matters. Teams often assume "we have MCP now" means the hard part is done. Usually it just means the plumbing is better. What Tolstoy MCP adds on top Tolstoy's MCP is built around the work ecommerce teams actually need to do after the store foundation is in place. According to Tolstoy's public MCP documentation, there are two remote MCP servers: Tolstoy Library, for media library management, shoppable widgets, product tagging, multi-store workflows, and Meta ads operations Tolstoy Studio, for generating and iterating on marketing videos and images That changes the role of the AI client. Instead of using chat only to inspect docs or validate code, your team can use it to operate the parts of the commerce stack that shape the customer experience: create and revise creative assets manage media and product-linked content build and update shoppable widgets coordinate storefront experience work from the same chat surface This is the practical stack many teams are heading toward: Shopify AI Toolkit for Shopify correctness Tolstoy MCP for content and shoppable experience workflows Codex, Cursor, Claude, or ChatGPT as the interface your team already wants to work in If your team wants an agent-ready content workflow, book a free AI Studio demo . A simple decision rule Use Shopify's toolkit when the question is mainly about Shopify truth: platform behavior APIs schemas implementation correctness store-management actions that belong inside Shopify's surface Use Tolstoy MCP when the question is mainly about customer-facing execution: content production video and image iteration shoppable storytelling media operations product-linked experience changes Most teams will end up needing both. One keeps the agent accurate around Shopify. The other makes the agent useful for the actual work that drives the storefront forward. What this looks like in practice Imagine a team planning a product launch week. With Shopify-native AI tooling alone, the agent can help check implementation details, reason about store setup, and keep Shopify-facing work grounded in official resources. With Tolstoy MCP connected as well, the same team can move beyond questions and into execution. They can generate launch creative, update product-linked media, prepare shoppable experiences, and manage those assets from chat instead of passing work across disconnected tools. That is the bigger story behind MCP in ecommerce. The value is not just that an assistant can talk to a system. The value is that the assistant can work across the systems that matter for launch velocity. The takeaway for ecommerce teams Shopify's AI Toolkit is a strong signal that Shopify understands where operator workflows are going. It gives brands a better way to bring AI into Shopify-specific work without relying on guesswork. But for most ecommerce teams, that is only one layer of the stack. If you want AI to help your team ship customer-facing work, not just reason about platform details, you need a workflow layer that covers creative operations and shoppable experience management too. That is where Tolstoy MCP fits. If you want to see what that looks like in practice, read what MCP means for ecommerce and Shopify brands , see how to connect Tolstoy MCP to ChatGPT, Claude, Cursor, and Codex , or explore Tolstoy AI Studio and AI Sales Agent . FAQ Is Shopify AI Toolkit the same thing as MCP? No. Shopify AI Toolkit is Shopify's official way to connect supported AI tools to Shopify resources through plugins, skills, and its Dev MCP path. MCP is the broader protocol that lets AI clients connect to external tools and systems. Do ecommerce teams need both Shopify AI Toolkit and Tolstoy MCP? Often, yes. Shopify's toolkit helps an agent stay correct inside Shopify. Tolstoy MCP helps the agent operate content, media, and shoppable experience workflows that sit closer to customer-facing execution. Does Shopify's Dev MCP replace Tolstoy MCP? No. They serve different jobs. Shopify's Dev MCP is about Shopify platform context and execution. Tolstoy MCP is about running shoppable video and creative workflows from chat. Which AI clients can use these tools? Shopify's AI Toolkit documentation lists support paths for tools including Codex, Claude Code, Cursor, Gemini CLI, Hermes, and Visual Studio Code. Tolstoy publicly documents setup flows for clients including ChatGPT, Claude, Cursor, and Codex. --- # How to Use Video in Klaviyo Flows for Shopify URL: https://www.gotolstoy.com/blog/video-klaviyo-flows-shopify Author: Rosalie Gill | Published: 2026-06-10 Summary: Add video to Klaviyo flows with a linked thumbnail, the right product destination, a fallback, and a clear test plan for Shopify. Use video in a Klaviyo email as a linked thumbnail that takes the recipient to a page where the video plays. Klaviyo's video block does not reliably play video inside the inbox. Its [template-editor guide](https://help.klaviyo.com/hc/en-us/articles/4407911841435) explains that clicking the thumbnail opens a new tab, and that directly embedded video is not supported. For a Shopify flow, the job is to carry the recipient's product question from the email to the correct destination. Start with one flow and one useful clip, then test the link, product match, and fallback before expanding. Choose a flow and a product question Flow Question the clip can answer Sensible destination Browse abandonment What does this product look like in use? The viewed product page with the relevant clip Cart recovery What detail would help me decide? The relevant product or recovery destination supported by your flow Post-purchase education How do I set up or care for what I bought? Instructions for the purchased product Cross-sell How does this item work with what I own? A relevant product or collection page Use an actual demonstration for claims about product performance. Get permission to reuse a creator or customer's footage in email. Keep a care or setup email focused on the purchased product before adding another offer. Build the linked video block 1. Choose the hosted video or product-page destination first. Open it without an admin login and confirm that the video is visible on mobile. 2. Create a clear thumbnail from an approved frame. Use a frame that makes sense even when animation or remote images are unavailable. 3. In Klaviyo, use the video block for a hosted video URL, or an image block linked to the intended product page. For non-YouTube sources, Klaviyo's video block requires you to provide a thumbnail. 4. Add descriptive alt text, such as “Watch how to adjust the travel bag strap.” Keep the same action available as a visible text link or button. 5. Use one clear action. If the thumbnail says “Watch the setup,” the destination should make that setup clip easy to find. 6. Apply your team's email tracking convention to the destination. Use a specific campaign or flow identifier so the test can be separated from other sends. Do not paste a storefront video embed into an email and assume that the inbox will execute it. A lightweight linked image also lets the email remain understandable before the recipient clicks. Map products and define the fallback For your first version, a fixed product and clip can be easier to validate than a fully dynamic block. Before personalizing, write down where the product ID, thumbnail URL, and destination URL come from. Confirm that all three refer to the same item. Condition Required behavior Product and matching clip are present Show the thumbnail and correct destination Product is present but there is no clip Use the approved static product block or hide the video block Product is unavailable Follow the flow's agreed availability fallback Event data is missing or malformed Show a reviewed general block or omit the personalized section A catalog connection alone does not establish that a particular Klaviyo event contains the fields your template needs. Check the exact event payload and integration setup. Tolstoy's [AI Player](/product/ai-player) and [integrations](/integrations) pages describe the product context; confirm the available workflow for your account before promising automatic personalization. Preview the event and destination Klaviyo recommends previewing a metric-triggered flow with the triggering event. A profile-only preview can miss an event-specific rendering problem. Use representative events, including one that exercises your fallback, and send test messages to approved internal test addresses. Check the result in the email clients your audience uses. Inspect the first frame, image-off text, mobile crop, visible CTA, unsubscribe area, and final URL after click tracking. Open the destination and confirm the correct variant, video, and next action. Do not use a real customer as a test recipient. If the linked page needs work, fix it before the flow. The guide to [ecommerce product-page mistakes](/blog/ecommerce-product-page-mistakes) can help identify missing product proof. Measure one flow test Compare the existing message with the video-thumbnail version while keeping the audience, offer, and timing as consistent as possible. Record delivery, unique clicks, destination visits, and the relevant order or education outcome. Filter machine clicks where your reporting supports it. Keep the stages separate: an email click is not a video play, and a video play is not an order. Report the attribution window used by each system. If Klaviyo and storefront analytics disagree, investigate their definitions before treating the difference as a result. [Tolstoy AI Studio](/product/ai-studio) can help create product-led creative options that your team reviews and reuses. Begin with one approved asset and a working destination, then expand only when the template and measurement are reliable. Talk to Tolstoy about video in your Klaviyo flows and bring one flow, a sample event, and the product question the email needs to answer. --- # How to Connect Tolstoy MCP to ChatGPT, Claude, Cursor, and Codex CLI URL: https://www.gotolstoy.com/blog/connect-tolstoy-mcp-chatgpt-claude-cursor-codex Author: Rosalie Gill | Published: 2026-06-10 Summary: Learn how to connect Tolstoy MCP to ChatGPT, Claude, Cursor, and Codex CLI so your team can create content and manage shoppable workflows from chat. Tolstoy MCP is most useful when it stops being a concept and starts becoming the control layer for real ecommerce work. If your team already uses ChatGPT, Claude, Cursor, or Codex CLI, the setup path is short. Tolstoy’s public MCP docs already expose the exact endpoints, OAuth behavior, and first workflows you can run once the connection is live. This guide is the practical follow-up to our broader explainer on what MCP means for ecommerce . Instead of defining the protocol again, it shows how to connect Tolstoy MCP to the AI client you already use and what to test first once you are in. What you are connecting: Tolstoy exposes two remote MCP servers. Tolstoy Library manages assets, shoppable widgets, products, stores, and Meta ads. Tolstoy Studio handles AI image and video generation. Both are secured with OAuth 2.1 + PKCE, so there are no API keys to paste. Why this setup matters for ecommerce teams The point of connecting Tolstoy MCP is not to add another technical integration for its own sake. It is to let your AI client work inside the same systems your team already uses to create and ship commerce content. According to Tolstoy’s official MCP overview , a connected client can generate Studio content, manage your media library, build and publish shoppable widgets, tag products, and review ad performance right from chat. That changes the workflow from “AI gives me a suggestion” to “AI helps me move the work forward.” For Shopify brands, that matters most when the bottleneck is operational: too many assets, too many surfaces, and too much copy-pasting between tools. Tolstoy MCP is useful because it turns that content layer into something an agent can act on. Choose the right Tolstoy MCP server first You do not always need both servers on day one. Start with the workflow you actually want to run this week. Tolstoy Library Use the Library server if you want to work with your existing commerce assets and storefront surfaces. The official Tolstoy Library docs list tools for: listing, searching, and updating media assets; creating and updating shoppable widgets; tagging products on videos; reviewing connected stores; and checking Meta ads performance or pushing assets into Meta Ads Manager. If your first job is “find the right asset, make it shoppable, and publish it,” start with Library. Tolstoy Studio Use the Studio server if your first job is content generation. The Tolstoy Studio docs expose two core tools: generate_studio_content and iterate_studio_content . That makes Studio the better first server when the work starts with “create a new image or video for this product launch,” not “organize and publish something that already exists.” Practical default: connect Library first if you already have assets in Tolstoy. Connect both Library and Studio if you want one client to generate content and then turn that content into a live shoppable workflow. How to connect Tolstoy MCP in ChatGPT ChatGPT is the fastest path because Tolstoy Library is already a published ChatGPT app. Tolstoy’s official Connect a client doc recommends this setup: Search apps in ChatGPT for Tolstoy Library . Click Connect and sign in with your Tolstoy account. Ask ChatGPT about your library, widgets, products, or ads once the connector is live. If you also want Studio in ChatGPT, Tolstoy documents a second path: enable Settings → Apps & Connectors → Advanced → Developer mode , then add a connector using the Studio endpoint. The main reason to start in ChatGPT is speed. You can get to a live Library workflow without editing config files or adding a custom remote server manually. How to connect Tolstoy MCP in Claude and Cursor Claude and Cursor both support remote MCP connections, but the user experience differs slightly. Claude The official flow is straightforward: Open Settings → Connectors in Claude. Add a custom connector named Tolstoy Library or Tolstoy Studio . Paste the correct endpoint and click Connect . Once you sign in, Claude can call the same Library and Studio tools documented in the developer hub. Cursor Tolstoy’s docs keep the Cursor instructions intentionally short: add a remote MCP server in Cursor’s MCP settings with the correct endpoint, then let the first tool call open the OAuth sign-in tab. That detail matters. Cursor does not need an API key here either. The first real MCP call triggers the Tolstoy login flow, and the connection is then tied to the Tolstoy workspace you authorized. How to connect Tolstoy MCP in Codex CLI Codex CLI is slightly different because Tolstoy’s docs note that codex mcp add targets STDIO servers, not remote HTTP servers. For Tolstoy MCP, you add the remote servers directly in ~/.codex/config.toml , then run the OAuth login command. [mcp_servers.tolstoy-library] url = "https://apilb.gotolstoy.com/mcp/v1/library/mcp" [mcp_servers.tolstoy-studio] url = "https://apilb.gotolstoy.com/mcp/v1/mcp" Then log in: codex mcp login tolstoy-library codex mcp login tolstoy-studio The first login opens a browser tab so you can sign in with your Tolstoy account. After that, the token is cached for future sessions. If your team runs content or widget workflows inside Codex already, this is the cleanest setup because it keeps Tolstoy inside the same CLI environment where you are planning and executing work. What to do right after you connect The best first test is one workflow that proves the connection is useful, not just technically valid. If you connected Library first Follow the pattern Tolstoy documents in the Library guide: Search for an existing asset. Search for the relevant product. Tag the product on the video. Create or inspect a shoppable widget. Publish the widget and follow the app-embed steps if needed. This is the fastest proof that the client can actually help with commerce execution, not just content lookup. If you connected Studio first Start with one contained generation prompt. For example: generate a product image or video for a single launch asset, then refine it once with iterate_studio_content . Tolstoy’s Studio docs also note that generated Studio content lands back in your Tolstoy library. That means the next step can be a Library workflow: tag the asset, place it in a widget, or push it toward your ad pipeline. If you want that full loop in one platform, the public AI Studio and AI Player pages show where those outputs can go next. Common setup mistakes to avoid Connecting the wrong server firstIf the task is asset management or publishing, start with Library. If the task is creation, start with Studio. Expecting an API key flowTolstoy uses OAuth 2.1 + PKCE. If you are looking for a static key, you are following the wrong setup model. Forgetting workspace scopeThe connection is bound to the Tolstoy workspace you authorize. Make sure you are signing into the correct account before testing. Stopping after connectionA successful OAuth login is not the real milestone. Run one asset, widget, or generation workflow immediately so the connector becomes part of work, not shelfware. Confusing “widget live” with storefront visibilityThe Library docs explicitly note that a widget set live in Tolstoy may still require the Shopify app embed to be enabled in the theme. Publishing inside Tolstoy is not always the final storefront step. When to use Tolstoy MCP instead of a generic AI workflow Use Tolstoy MCP when the job needs access to your real Tolstoy workspace: assets, widgets, product tagging, content generation sessions, or ad-performance context. Use a generic AI workflow when the job is still open-ended strategy, naming, messaging, or brainstorming. The handoff point is simple: once the task needs to touch the actual commerce system, connect Tolstoy MCP and move the work into tools. That is also why this setup guide belongs alongside the broader Tolstoy MCP page . The page explains the platform story. The connection guide makes the platform usable inside the AI client your team already prefers. If you want to put this into practice, the best first move is to connect Tolstoy Library in the client you already use most, run one real workflow, and then add Studio once content generation becomes the next bottleneck. If you are not in Tolstoy yet, get started free . FAQs Do I need both Tolstoy MCP servers? No. Start with Library if your first task is managing or publishing existing assets. Start with Studio if your first task is generating new content. Does Tolstoy MCP use API keys? No. Tolstoy’s public docs specify OAuth 2.1 + PKCE for every MCP connection, so you sign in with your Tolstoy account instead of pasting an API key. Can I connect Tolstoy MCP to ChatGPT? Yes. Tolstoy Library is already published as a ChatGPT app, and Tolstoy’s docs describe a direct connect flow inside ChatGPT. What can I do with Tolstoy Library after connecting? You can search and manage assets, inspect or create shoppable widgets, tag products on videos, review connected stores, and check Meta ads performance. What can I do with Tolstoy Studio after connecting? You can generate new images or videos and iterate on those generations inside the same Studio session before moving the output into the Tolstoy library. What is the first workflow worth testing? A good first test is one end-to-end Library workflow: find an asset, tag a product on it, inspect or create a widget, and publish it. That proves the client is useful for real commerce execution. --- # AI Shopping Agents for Shopify: What Ecommerce Brands Need to Prepare Now URL: https://www.gotolstoy.com/blog/ai-shopping-agents-shopify Author: Rosalie Gill | Published: 2026-06-09 Summary: Learn how Shopify brands can prepare for AI shopping agents, ChatGPT commerce, Storefront MCP, and onsite AI shopping assistants. AI shopping agents are turning product discovery into a conversation. For Shopify brands, that means the next commerce surface is not only the product page, the search results page, or the app store listing. It is the moment when a shopper asks an AI assistant: "Find me a black dress for a wedding under $200," "Which running shoe works for wide feet?", or "Can I buy this skincare set and have it arrive by Friday?" Those questions need more than a product feed. They need accurate product data, store policies, buying context, brand-safe answers, cart actions, and a way to keep the shopper moving toward purchase. That is why AI shopping agents matter now. Shopify has published Storefront MCP documentation for building shopping agents that can search products, answer policy questions, manage carts, and support checkout through natural language. Shopify is also rolling out agentic storefronts so eligible stores can be discovered in AI channels such as ChatGPT, Google AI Mode and Gemini, and Microsoft Copilot. OpenAI has published merchant and product-feed infrastructure for product discovery in ChatGPT. The takeaway for ecommerce teams is simple: AI commerce is becoming both an external discovery channel and an onsite conversion layer. Winning it means preparing for both. For the deeper onsite layer, read the guide to the agentic storefront and how it changes the Shopify shopping experience. What is an AI shopping agent? An AI shopping agent is a conversational assistant that helps shoppers discover, compare, choose, and buy products. In practice, a useful shopping agent should be able to: Understand natural-language shopper intent. Search the product catalog. Compare products based on fit, use case, price, availability, ingredients, materials, sizing, or policies. Answer store questions about shipping, returns, delivery, bundles, discounts, and care instructions. Recommend products based on the shopper's stated needs. Add products to cart or guide the shopper to checkout. The important part is not the chat UI. The important part is connection. A generic chatbot can answer broad questions. A shopping agent needs access to the store's real product data, policies, content, and cart actions. That is why Shopify's Storefront MCP work matters: it gives agents a structured way to connect with commerce features rather than guessing from page text. Why Shopify brands should care now For years, ecommerce teams optimized around two main discovery paths: Search and paid media sent shoppers to product pages. Onsite merchandising helped shoppers decide what to buy. AI shopping changes both paths. External assistants are starting to sit before the store. A shopper may ask ChatGPT, Google AI Mode, Gemini, Copilot, or another assistant what to buy before they ever visit a brand's site. Shopify's agentic storefront docs describe this exact shift: products can be discovered and purchased through AI channels, with availability depending on eligibility and rollout status. Onsite assistants are changing the product page itself. Instead of forcing shoppers to browse filters, read PDP copy, search FAQs, and compare tabs, a shopping agent can turn those steps into one guided flow. That creates a new readiness question for Shopify brands: If an AI agent had to represent your store to a shopper today, would it have enough context to do it well? Most brands are not fully ready. Their product data may be thin. Policies may live in disconnected help docs. Size and fit guidance may be buried. Product videos may not be connected to the shopper's question. UGC may be persuasive but hard for an agent to use. The content exists, but the agent cannot always act on it. External AI shopping vs onsite AI shopping There are two layers to prepare for. External AI shopping is what happens outside your site. This includes product discovery in ChatGPT, Google AI Mode, Gemini, Copilot, and other AI surfaces. The priority here is machine-readable product and brand context: product feeds, structured product data, eligibility settings, policies, reviews, and content that helps an assistant understand why a product is relevant. Onsite AI shopping is what happens on your storefront. This is where a shopper is already in your owned experience and needs help deciding. The priority here is conversion: product recommendations, guided questions, size and fit support, shoppable video , UGC context, in-chat add-to-cart, and handoff to checkout. Brands need both layers because they solve different problems. External AI shopping helps you get found. Onsite AI shopping helps you convert the shopper once they arrive. A product feed can put your products into an AI channel. It does not automatically create a high-converting onsite shopping experience. A good onsite agent can help shoppers choose and buy. It does not automatically make your catalog visible in every external AI surface. The better strategy is to connect the two: prepare your catalog and policies for AI discovery, then use your owned storefront to give shoppers a rich, brand-aware path to purchase. Where MCP fits into agentic commerce MCP, short for Model Context Protocol, is a way for AI systems to connect to tools and data sources in a structured way. For ecommerce, the appeal is straightforward. A shopping agent should not have to scrape a page and guess. It should be able to ask the store for product search, policy information, cart updates, and other commerce actions in a predictable format. Shopify's Storefront MCP docs describe a shopping agent that can use MCP to connect with Shopify commerce features. The agent can help shoppers find products faster, answer product and policy questions, and manage carts through a chat experience. That turns MCP from a developer acronym into a commerce readiness question: Can your product catalog be searched by intent, not just by exact keywords? Are policies and FAQs easy for an agent to retrieve? Can an agent take meaningful cart actions? Can your content explain why a product is right for a shopper? Can your team update brand context without waiting on a long dev cycle? This is where the category gets interesting. MCP is not the whole strategy. It is the connection layer. The real business value comes from the workflows that connection unlocks: better product discovery, faster content creation, smarter onsite recommendations, and clearer paths from question to purchase. What your Shopify store needs before AI agents can represent it well Before chasing every new AI channel, audit the foundations. 1. Product data that answers shopper questions Agents need more than title, price, and product image. They need the buying context a human sales associate would use. For apparel, that might include fit notes, fabric, stretch, occasion, body-type guidance, care instructions, model sizing, and restock timing. For beauty, it might include skin type, ingredients, application order, sensitivities, usage frequency, shade guidance, and routine pairings. For home goods, it might include dimensions, materials, assembly, compatibility, shipping constraints, and room-use cases. If that context is missing, an AI agent can still talk. It just cannot help very well. 2. Policies and FAQs written for retrieval Many brands have shipping, returns, discount, and subscription details scattered across help-center pages, PDP copy, app blocks, emails, and support macros. An AI shopping agent needs clean answers. Make sure your policies are current, plain-English, and easy to map to common shopper questions. Examples: "Can I return this if it does not fit?" "Will this arrive before Saturday?" "Does this work with my subscription?" "Can I use a discount on bundles?" "What size should I buy if I am between sizes?" 3. Content that helps an agent sell, not just decorate UGC, product videos, try-on images, PDP media, and lifestyle content can all help a shopper decide. But the content needs to be connected to the product and the shopper's intent. This is where shoppable video and AI-generated product content become practical, not decorative. A shopper asking "How does this look on a person?" or "Can I see this styled for work?" should not have to scroll a media carousel and hope. The agent should be able to point them toward the right asset or product experience. Tolstoy AI Studio helps ecommerce teams create product images, videos, ad creatives, and channel-ready content from existing product assets and brand context. Tolstoy AI Player turns video and UGC into shoppable storefront experiences. Together, they help brands create the content that an AI shopping flow can use to make better recommendations. 4. An onsite shopping assistant that can move the shopper forward The strongest AI shopping experience does not end at an answer. It moves the shopper toward a decision. An onsite shopping agent should be able to: Recommend the right products. Explain the recommendation. Answer objections. Suggest bundles or complementary products. Support size, fit, or usage questions. Add the chosen item to cart. Tolstoy AI Sales Agent is built for that onsite layer: it answers customer questions, recommends products, supports conversational product search, and lets shoppers add items to cart from the chat experience. How Tolstoy helps brands prepare for AI-agent commerce Tolstoy's view is that AI commerce is not one feature. It is a workflow. A Shopify brand needs content, product context, storefront experiences, and AI-agent access working together. Tolstoy helps with three parts of that system: AI Sales Agent : the onsite agent layer Tolstoy AI Sales Agent gives shoppers a conversational way to ask questions, get recommendations, and move toward checkout. It uses product catalog and brand context so the answers are tied to the store rather than generic ecommerce advice. That matters because many AI commerce conversations will still end on your site. Even when discovery starts in an external assistant, shoppers may land on a PDP, collection, or landing page where they need help choosing. MCP: the agent connection layer Tolstoy MCP connects Tolstoy workflows to MCP clients such as ChatGPT, Claude, Cursor, and other AI tools. For ecommerce teams, that means agent workflows can reach into content, shoppable widgets, media, and analytics work instead of staying trapped in a chat window. If Storefront MCP is how agents connect to Shopify commerce features, Tolstoy MCP is how teams connect agents to the content and experience workflows around commerce. For setup instructions, see how to connect a commerce agent through Tolstoy MCP . AI Studio and AI Player: the content-to-commerce layer An agent is only as helpful as the content and context it can use. AI Studio helps teams generate product visuals, videos, and creative assets from product and brand inputs. AI Player helps turn video and UGC into shoppable storefront experiences. Those assets make the shopping journey richer: shoppers can see, compare, and act, instead of only reading static product copy. The stronger your content layer, the better your AI shopping layer can become. Checklist: prepare your Shopify brand for AI shopping agents Use this as a practical readiness audit. Product and catalog readiness Product titles are clear and specific. Descriptions answer buying questions, not just brand positioning. Variants, sizing, dimensions, materials, ingredients, and availability are complete. Product images and videos are mapped to the right products. Bundles and complementary products are easy to understand. Policy readiness Shipping, returns, exchanges, subscriptions, discounts, and warranty rules are current. FAQs use plain language that matches real shopper questions. Policy exceptions are explicit. Support macros and help-center answers do not contradict PDP copy. AI discovery readiness Product feed data is structured and current. Schema markup is implemented where relevant. Brand and product context is consistent across your site, app listings, and external profiles. Your store is eligible for the AI channels you plan to use. Someone owns monitoring for AI visibility and attribution. Onsite conversion readiness Shoppers can ask product questions on PDPs and collections. Product recommendations explain why an item fits the shopper's need. Add-to-cart is available from the assisted shopping flow. Shoppable video, UGC, and try-on content are connected to products. The assistant has brand guardrails and does not invent policies or discounts. Content workflow readiness Your team can create product visuals without waiting on every photoshoot. Product videos and UGC can be reused across PDP, email, social, and ads. New product launches have enough content for both humans and agents to understand. Content performance can be measured and fed back into future campaigns. The mistake to avoid: treating AI shopping as only a feed problem Feeds matter. Structured product data matters. External AI-channel readiness matters. But AI shopping is not only a feed problem. If a shopper discovers your product in ChatGPT and lands on your store, what happens next? If they ask about fit, bundles, delivery, or which product is right for them, can your onsite experience answer? If they want to see the product in context, can your content help? If they are ready to buy, can the agent move them to cart? That is the difference between being listed in an AI shopping surface and actually converting AI-assisted demand. The brands that win will treat AI shopping as a connected system: External discovery. Structured product context. Onsite shopping assistance. Rich product content. Shoppable actions. Measurement and iteration. That system is exactly where ecommerce teams should focus now. Start with the highest-leverage step If you are a Shopify brand, you do not need to rebuild your entire commerce stack to get ready for AI shopping agents. Start by asking: Can AI systems understand what we sell and who each product is for? Can shoppers get product help without leaving the buying flow? Can our content explain the product better than a static PDP alone? Tolstoy helps with the second and third questions: AI Sales Agent gives shoppers a guided agent experience on your site, while AI Studio and AI Player help turn product content into shoppable, useful commerce moments. AI shopping is becoming a new front door for ecommerce. The work now is to make sure that when shoppers arrive, your brand has the context, content, and agent experience to help them buy. Ready to prepare your store for AI shopping? Get Tolstoy for free or explore AI Sales Agent . To plan the first AI commerce workflow for your catalog, book a free AI Studio demo . FAQ What is an AI shopping agent for Shopify? An AI shopping agent is a conversational assistant that helps shoppers search products, ask product or policy questions, get recommendations, and move toward checkout. For Shopify brands, this can happen through external AI channels or through an onsite shopping assistant. What is Shopify Storefront MCP? Shopify Storefront MCP is Shopify's Model Context Protocol layer for connecting AI agents to commerce features. Shopify's docs show agents using MCP to answer product and policy questions, search products, manage carts, and support checkout through a chat experience. How is an AI shopping agent different from a chatbot? A generic chatbot answers questions. A shopping agent needs access to product catalog data, policies, recommendations, cart actions, and brand guardrails so it can help a shopper make a purchase decision. Do Shopify brands need both external AI discovery and onsite AI shopping? Yes. External AI discovery helps shoppers find products in channels such as ChatGPT, Google AI Mode, Gemini, and Copilot when a store is eligible. Onsite AI shopping helps convert shoppers once they arrive on the brand's site. How does Tolstoy help with AI shopping agents? Tolstoy helps ecommerce brands create the onsite AI shopping and content layer. AI Sales Agent answers questions and recommends products in a guided shopping flow. AI Studio creates product images and videos from brand and catalog context. AI Player turns video and UGC into shoppable storefront experiences. Tolstoy MCP connects those workflows to AI tools and clients. --- # MCP for Ecommerce: Why Shopify Brands Need It Now URL: https://www.gotolstoy.com/blog/what-is-mcp-ecommerce-shopify-brands Author: Rosalie Gill | Published: 2026-06-05 Summary: Learn what MCP is, why AI tools are adopting Model Context Protocol, and how Shopify brands can use Tolstoy MCP to connect AI agents to content workflows. MCP is the reason AI agents can move from "good suggestion" to "go do it." For ecommerce teams, that difference matters. A generic AI assistant can write product copy or brainstorm a campaign. An MCP-connected agent can work with the tools and content systems behind the campaign. That is why Model Context Protocol is becoming important for Shopify brands, not just developers. Commerce moves through product data, creative assets, storefronts, media libraries, ads, email, SMS, analytics, and customer conversations. If AI agents cannot reach those systems, they stay stuck at the idea stage. Quick definition: MCP, or Model Context Protocol, is an open standard that lets AI applications connect to external tools, data, and workflows through a common protocol. In plain English: MCP gives agents a safer, more structured way to use the software your team already depends on. What Is MCP? MCP stands for Model Context Protocol . It gives AI applications a standard way to connect to external systems. Those systems can be simple, like a folder of files, or complex, like a commerce platform, CMS, product catalog, creative tool, database, or media library. Before MCP, every AI product needed a custom integration for every system it wanted to use. One integration for a file tool. Another for analytics. Another for a CMS. Another for product data. That approach becomes messy fast. MCP changes the pattern. A tool can expose an MCP server. AI clients that support MCP can then discover what that server offers and call approved tools in a consistent way. The important part is not the acronym. The important part is access. MCP gives AI agents a path into real systems, with clearer boundaries than a pile of one-off integrations. For a deeper implementation comparison, read Shopify AI Toolkit vs. MCP to understand how commerce teams should think about platform tradeoffs. Why MCP Is Becoming Necessary For Software Software used to compete mostly on the human interface: better dashboards, cleaner workflows, faster buttons. That still matters. But AI adds a second interface: the agent interface. Increasingly, users will not open every app manually. They will ask an agent to prepare a launch, find assets, generate creative, summarize performance, update a workspace, or build campaign variants. If the agent cannot reach a tool, that tool becomes invisible in the workflow. The new software question: Can a person use this tool easily, and can an agent use it safely on behalf of the team? That is why MCP is moving from technical curiosity to product requirement. It is becoming one of the main ways tools make themselves available to AI-native work. Why Ecommerce And Shopify Brands Should Care Ecommerce is context-heavy. A Shopify brand has product data, inventory, PDP content, videos, images, reviews, campaigns, discount rules, creative variants, audience insights, and performance signals spread across multiple tools. AI is only useful when it can work with that actual context. Without MCP, an agent might say, "You should create more product videos for this collection." Helpful, maybe. But still generic. With MCP-ready tools, the agent can participate in the workflow behind that recommendation: Find the relevant product or collection context. Use approved creative tools to generate product-specific assets. Organize the output in the right media library. Prepare assets for PDPs, ads, email, SMS, or landing pages. Help the team create variants without restarting from scratch. That is the practical value. MCP is not about making ecommerce more technical. It is about removing the gap between an AI idea and the systems needed to execute it. MCP Vs Traditional Ecommerce Integrations Traditional integrations usually connect one tool to another through a fixed path: Shopify to an email platform, a product feed to an ad platform, a video app to a PDP, a CMS to a storefront. Those integrations are still useful. MCP does not replace them. The difference is that MCP is designed for agent workflows. It lets an AI application discover available tools, request the right context, and use approved actions based on the task. That flexibility matters because ecommerce work is rarely a straight line. A launch might require product content, creator-style videos, refreshed PDP assets, campaign copy, library organization, and follow-up variants. A fixed sync does not cover that. An agent workflow can. Where Tolstoy MCP Fits Tolstoy MCP is focused on the commerce content layer. Today, Tolstoy exposes AI Studio content creation and media-library management to AI agents through MCP. That matters because content is one of the biggest bottlenecks for Shopify brands. Teams need new product images, product videos, variants for ads, visuals for PDPs, assets for email and SMS, and organized media that can be reused later. Tolstoy already brings AI-powered content and shopping experiences into one platform: AI Studio : create product photos and videos from a prompt. AI Player : bring shoppable video to PDPs, landing pages, email, SMS, and other commerce surfaces. AI Sales Agent : help shoppers discover products, ask questions, use virtual try-on, and move toward checkout. MCP makes the AI Studio and media-library pieces available to the agents teams are already starting to use. When you are ready to try the workflow directly, follow the guide to connect Tolstoy MCP to ChatGPT, Claude, Cursor, or Codex . If you want to see how MCP connects to real content creation workflows, book a free AI Studio demo . Example: A Faster Shopify Launch Workflow Say a Shopify brand is launching a new collection. Without MCP, the team might ask AI for campaign ideas, then manually move between creative tools, product files, exports, uploads, media organization, and channel prep. With Tolstoy MCP, an agent can help closer to the actual work: Start from the collection brief or product context. Generate product visuals in Tolstoy AI Studio. Organize the new assets in the media library. Prepare content for the next PDP, ad, email, or SMS workflow. Create variants when the team needs more angles, formats, or product moments. The brand still decides what ships. MCP is not a replacement for taste, strategy, or approval. It is a way to make the agent useful inside the workflow instead of adjacent to it. How To Evaluate MCP Tools For Ecommerce Not every MCP implementation is equally valuable. When evaluating MCP-ready commerce tools, ask practical questions: What can the agent actually do?Look for specific tools and actions, not vague "AI-ready" language. What context can it access?For ecommerce, product, content, media, and channel context matter. How are permissions handled?The agent should only use approved capabilities. Does it map to revenue work?The best MCP tools help teams create, organize, launch, measure, or improve work that affects the storefront. For Tolstoy, the first practical use case is clear: connect agents to AI Studio content creation and media-library management so ecommerce teams can move faster from idea to usable product content. The Bottom Line MCP is not just another AI acronym. It is part of the infrastructure that lets agents work with real tools. For Shopify brands, that matters because commerce execution depends on context: products, creative, media, channels, shoppers, and performance. The brands that benefit most from AI will be the ones whose tools are accessible to agents, not locked away in disconnected tabs. Tolstoy MCP brings that agent-ready layer to AI Studio content creation and media-library management. If content is the bottleneck, MCP is how the agent starts helping where the work actually happens. For more on the broader stack, read our guide to ecommerce AI tools . For where this content can drive revenue on-site, see how shoppable AI videos for Shopify improve storefront performance. FAQs What does MCP stand for? MCP stands for Model Context Protocol. It is an open standard that lets AI applications connect to external tools, data sources, and workflows. What is MCP in simple terms? MCP is a standard connection layer for AI agents. It helps an agent discover what a tool can do, access approved context, and call approved actions. Why is MCP important for ecommerce? Ecommerce teams work across product catalogs, creative assets, storefronts, ads, email, SMS, analytics, and support. MCP makes those tools more accessible to AI agents, so the agent can help with real workflows instead of only giving generic advice. Why do Shopify brands need MCP? Shopify brands need constant product content, creative variants, merchandising updates, and campaign assets. MCP-ready tools make it easier for agents to help create, organize, and prepare that work. What does Tolstoy MCP do? Tolstoy MCP connects AI agents to Tolstoy AI Studio content creation and media-library management, so ecommerce teams can generate and organize commerce content through agent workflows. Is MCP the same as an API? No. APIs let software systems exchange data or trigger actions. MCP is designed for AI applications, giving agents a standard way to discover tools, understand context, and use approved capabilities. --- # 5 AI Content Mistakes Every Ecommerce Brand Makes URL: https://www.gotolstoy.com/blog/ai-content-generation-mistakes Author: Palak Agarwal | Published: 2026-05-12 Summary: Even brands doing AI content best run into the same five mistakes. Here's what they are, why they happen, and the small shifts that fix each one. Don't worry — almost everyone makes them. Here's how to fix each one. The five mistakes, in one line each: Dumping the whole brief into one AI prompt A disorganized shared workspace Generating one SKU at a time instead of templating Stopping after the first output Writing a brief that's too short The fix for all five: treat AI like a contractor, not a chat window. I work with AI every single day. Building products, using the models hands-on — Claude, GPT-5, Gemini, Veo, Runway, Midjourney — and teaching ecommerce brands doing $5M–$500M GMV how to ship content with them at scale. Even the brands doing this best keep running into the same handful of problems. I make them too. Sometimes I'm walking a brand through their workflow and realize I just did the exact same thing on a different project last week. These aren't signs you're bad at AI. They're signs you're learning it — same as the rest of us. Below are the five mistakes I see most often, why they happen, and the small shifts that fix them. Mistake 1: Dumping the whole brief into one AI prompt You sit down to make 12 product shots for the spring collection. You type a paragraph describing what you need — the look, the model, the lighting, the brand vibe — hit enter, and wait. The output comes back, and it's… not quite right. Not on-brand. Not usable. You probably tried again with a longer prompt. Got something similar. Started to wonder if AI is actually ready for real work. What's happening: AI is being asked to make eight creative decisions at once, with no breakdown of which decisions matter most. The marketing of these tools encourages this ("type what you want, get what you need"). But that's not how creative work happens — even with a human, you'd brief them in layers. The fix: Break the brief into pieces Mood board first Then shot list Then model selection Then output, one shot at a time Then iterate It feels slower at first. It isn't. You get usable output on the second try instead of the twentieth. Mistake 2: A messy AI workspace (and why it's invisible) Five teams sharing one folder. Models named test_v3_final_FINAL . The social team's brand voice bleeding into the ecommerce team's product copy. Outputs that feel inconsistent across the catalog, and nobody can quite explain why. This one is sneaky because it doesn't feel like a problem. AI tools look like a chat window, so people treat them like a chat — not a shared workspace. But the moment more than one person is generating content for more than one brand, you're running into the same governance issues you'd have in any shared Drive. The AI isn't getting confused. Your inputs are. The fix: Set up the workspace before you generate anything serious One folder per team A simple naming convention for models — brand_persona_attribute Brand-scoped memory, never shared across brands A clear owner for the model library It takes 30 minutes. It saves you from a month of wondering why the outputs feel off. Mistake 3: Generating one product at a time instead of templating You nail the hero shot for one SKU. It looks great. You open a new chat. You start over for the next SKU. You repeat this 200 times. By SKU 30 you're tired, the brand is asking when it'll be done, and the work doesn't feel scalable anymore. This one tripped me up for a while. AI conversations feel like one-offs, so it's natural to treat each generation as its own thing. But that's not the point of AI. The point is: figure out the right prompt + reference + model combo once, then run it across hundreds of products. The fix: When something works, templatize it Whenever an output works, stop and turn it into a template. Codify the prompt. Save the references. Save the model. Run the next SKU through the same workflow instead of starting from scratch. If you find yourself rewriting prompts between products, that's the signal. Templatize it. Mistake 4: Stopping after the first AI output The first output isn't quite right. You shrug, say "AI isn't there yet," and go back to the old workflow. I've watched this happen at brands with full creative teams. And it makes total sense — when you compare AI's first output to a final asset from your last photoshoot, AI loses. But that's the wrong comparison. A photographer's "first output" took weeks. AI's first output took 30 seconds. You haven't seen the final yet. You've seen draft one. The fix: Default to 3–5 iterations, and assign each one a job Iteration 1 — is the composition right? Iteration 2 — does it feel on-brand? Iteration 3 — fix the details (hands, logo, fabric) Iteration 4 — generate variations Iteration 5 — pick the final The teams shipping 10x more usable assets aren't using a better model. They're just iterating more. Mistake 5: Writing a brief that's too short "Make it pop." "More premium." "Match our vibe." These are the briefs you'd give a teammate who already knows your brand inside and out. They make perfect sense to a person. They make no sense to an AI. This is the most relatable mistake on the list. We've all done it. AI feels conversational, so we brief it conversationally — and then wonder why we got vibes back. The fix: Treat the brief like onboarding documentation for a contractor who's never heard of your brand SKU pairings (which products go together) Detailed shot list with descriptions Brand guidelines — colors, typography, tone 3–5 reference images of "yes, like this" 3–5 reference images of "never like this" It feels like overkill for a single image. It is. But you only build the brief assets once — every output after that gets sharper for free. Why these mistakes share one root These five mistakes all share one root: it's easy to assume AI will fill in the gaps your team usually fills in. It won't. AI doesn't replace judgment — it compounds it. Whatever taste, brief discipline, and process you bring to it, AI multiplies. Bring sharpness, you get 10x leverage. Bring fuzziness, you get faster fuzziness. The good news: every one of these mistakes has an easy fix, and none of them require a new tool. Just a small shift in how you set up the work. Before scaling the workflow, make sure the team can protect product accuracy and shopper trust with a clear review process. The shortcut: don't bolt this on yourself Tolstoy is built around exactly these five fixes: Modular briefs that break the prompt into layers Brand-scoped workspaces so teams don't bleed into each other Templated workflows that let you run one prompt across 200 SKUs Built-in iteration so the first output is a draft, not a verdict Stop briefing AI like a chat window. Start briefing it like a contractor — at scale. Start free → · No credit card. Your first batch in under 10 minutes. --- # How to Turn Product Images Into Videos With AI URL: https://www.gotolstoy.com/blog/how-to-turn-product-images-into-videos-with-ai Author: Gal Aharoni | Published: 2026-03-19 Summary: Learn how to turn product images into videos with AI, including the process, tools, benefits, and best practices for creating high-converting product videos. Key Takeaways Video dramatically boosts engagement: Product pages with video get about 3x more engagement than image-only listings because motion captures attention and keeps shoppers exploring longer. AI can turn existing product photos into videos: Image-to-video tools generate short clips from static images by simulating camera movement, depth, and scene changes. This lets teams create videos without filming new footage. Scale video across entire catalogs: Instead of producing videos for only a few products, AI can generate clips for hundreds or thousands of SKUs using existing images and templates. This expands coverage without adding production work. Use different video styles for different channels: Subtle motion works well on product pages, while faster, short-form clips perform better in ads and social feeds. Matching the format to the placement improves results across the customer journey. E-commerce pages that include video generate 3x more engagement than listings with only images. Static product images increasingly limit how e-commerce teams execute across channels. As customer expectations shift toward richer visual experiences, relying only on still imagery restricts storytelling , reduces time-on-page, and narrows how products can be presented across storefronts, ads, and lifecycle marketing. AI image-to-video technology offers a more scalable way to introduce motion into product content. Generation of short-form videos directly from existing images enables teams to expand video coverage across catalogs without introducing new production bottlenecks. This approach reframes video from a specialized creative effort into a repeatable, catalog-driven workflow tied to merchandising and performance goals. What Is AI Image-to-Video Technology? AI image-to-video technology converts static images into short video sequences by inferring motion, depth, and visual continuity from still inputs. Rather than recording new footage, these systems analyze product images and generate movement through simulated camera motion, transitions, lighting changes, and scene composition. Modern image-to-video systems rely on generative models trained to understand object structure and spatial relationships. From a single or small set of images, the model predicts how a product might appear from slightly different angles, how it sits within a scene, and how visual elements can transition smoothly over time. This allows the system to produce videos that feel dynamic without requiring full 3D models or physical filming. This approach differs from rule-based animation, where predefined motions are applied uniformly to assets. Rule-based systems often produce repetitive results and require manual setup. Generative image-to-video models adapt motion and composition based on the product itself, producing more natural and varied outputs. For e-commerce workflows, this technology fits directly into catalog-driven operations. Videos can be generated from existing product images, updated as assortments change, and deployed across product pages, ads, and owned channels without creating a separate production pipeline. Benefits of Turning Product Images Into Videos With AI Turning product images into videos is not about replacing traditional video entirely. The value comes from extending motion and visual depth to more products, more placements, and more customer touchpoints without increasing production overhead. For e-commerce teams, this creates measurable gains across engagement, conversion, cost efficiency, and catalog coverage. 1. Increase Engagement Compared to Static Images Video captures attention more effectively than still images by introducing motion and visual progression. Even subtle movements, like slow pans or gentle transitions, encourage users to pause and explore product content more deeply. On e-commerce pages, this increased engagement often leads to higher interaction rates, especially on mobile devices where motion stands out. The impact goes beyond engagement as these videos also influence purchasing decisions, with 72% of online shoppers saying they are more likely to buy after watching a demo. 2. Improve Conversion Rates Across Digital Channels Product videos help customers understand scale, texture, and usage more clearly than static images alone. This added clarity reduces uncertainty during the buying decision. Platforms like Tolstoy extend this further by making videos interactive and shoppable , enabling customers to explore variants or add products to cart directly from the video experience, increasing on-site conversion impact. 3. Reduce Traditional Video Production Costs Traditional video production requires planning, equipment, talent, editing, and coordination across teams. AI image-to-video systems remove most of these steps by generating videos directly from existing assets. This significantly lowers per-video costs and removes the need to prioritize only a small subset of products for video coverage. 4. Scale Video Creation Across Large Product Catalogs Manually producing videos for hundreds or thousands of SKUs is rarely feasible. AI-based workflows make bulk generation possible by applying consistent templates and styles across entire catalogs. Tools such as Tolstoy’s AI Studio allow brands to generate multiple product videos at scale from existing images, ensuring consistent coverage across assortments without increasing operational complexity. How AI Turns Product Images Into Videos AI image-to-video systems work by extracting structure, context, and visual intent from static product images, then generating motion and scenes that feel coherent rather than artificial. Instead of simply animating pixels, these systems interpret how a product exists in space and how it can be presented dynamically across short video sequences. Image Analysis and Depth Mapping The process begins with image analysis, where the AI identifies the product’s shape, edges, textures, and relative depth. From this, it builds an internal representation of foreground and background elements. Depth mapping allows the system to separate the product from its surroundings and understand which areas should move independently, creating a sense of dimensionality even when working from a single image. Motion Simulation and Camera Effects Once depth and structure are established, the AI simulates motion through virtual camera movements. This can include slow pans, zooms, parallax shifts, or angle changes that suggest rotation. These effects are applied selectively based on the product’s geometry, avoiding exaggerated motion while introducing visual flow that mirrors how products are typically filmed in studio environments. Scene Generation and Background Enhancement AI systems can also generate or enhance backgrounds to place products in more engaging visual contexts. Neutral studio backdrops can be extended, softened, or replaced with lifestyle-inspired scenes while keeping the product visually anchored. This allows videos to feel purposeful and polished without requiring physical sets or location shoots. Text, Voice, and Visual Overlay Generation Some image-to-video workflows layer in text, icons, or voice elements to reinforce product information. Overlays such as feature callouts, pricing cues, or brand messaging are positioned dynamically so they complement motion rather than obstruct it. This transforms videos from purely visual assets into informative product communication tools. Step-by-Step: How to Turn Product Images Into Videos With AI Turning product images into videos follows a structured workflow that prioritizes input quality, configuration, and channel-specific output. While platforms vary, the steps below reflect a practical implementation path for e-commerce teams looking to operationalize image-to-video generation: Choose High-Quality Product Images: Start with clear, well-lit product images that accurately represent color, texture, and proportions. Clean backgrounds and consistent angles improve how effectively AI systems can extract depth and structure, reducing visual artifacts in the final video. Select an AI Image-to-Video Platform: Choose a platform that aligns with e-commerce workflows rather than standalone creative tools. For e-commerce brands, platforms like Tolstoy combine AI video generation with interactive shopping functionality, allowing videos to connect directly to product pages and conversion paths. VEED’s AI Image to video tool is another option for teams that want to turn static product or campaign assets into short marketing clips for social, ads, and content production workflows. Upload and Configure Image Inputs: Upload selected product images and assign them to the appropriate product or SKU. Configuration may include defining aspect ratios, output formats, and the number of scenes or transitions the video should include. Customize Motion, Effects, and Branding: Adjust motion intensity, camera style, and visual effects to match brand guidelines. This step ensures videos feel consistent with existing product imagery while maintaining a polished, professional look across different product lines. Optimize for Different Channels and Formats: Tailor videos for their intended placements, such as product pages, paid ads, email, or social feeds. This includes adjusting length, orientation, and overlays to fit each channel’s viewing behavior and technical requirements. Export and Publish Your Video: Once generated, export videos in the required formats and publish them across storefronts or marketing channels. In e-commerce-focused systems, this step can include direct publishing to product pages without manual uploads. Different Types of AI-Generated Product Videos AI image-to-video technology supports multiple video formats, each serving a different merchandising or marketing purpose. Choosing the right format depends on where the video will appear and what information it needs to convey. Subtle Motion and Cinematic Animation These videos use gentle camera movement and depth effects to add polish to product visuals. They work well on product detail pages where motion enhances presentation without distracting from key purchase information. Multi-Image Story Sequences Multi-image videos combine several product shots into a short narrative sequence. This format highlights different angles, features, or variants within a single video, making it useful for complex products or bundled offerings. Lifestyle and Context-Based Visualizations These videos place products into contextual environments that suggest use cases or scenarios. AI-generated backgrounds and transitions help customers visualize how a product fits into daily life without requiring lifestyle photoshoots. Short-Form Social Media Videos Optimized for vertical or square formats, these videos prioritize fast pacing and visual clarity. They are designed to capture attention quickly within feeds and communicate product value in just a few seconds. The impact of motion is even more pronounced in social discovery; specialized marketing audits of Instagram campaigns have confirmed that video assets outperform static imagery by a factor of three in terms of total user interactions. Interactive and Clickable Product Videos Interactive videos allow customers to engage directly with products inside the video itself. Platforms like Tolstoy specialize in interactive and shoppable video formats designed specifically for e-commerce storefronts, enabling actions such as product selection or add-to-cart without leaving the viewing experience. Through its AI Studio and AI Player , Tolstoy automates the creation of these videos from existing product images, applying templates such as UGC-style, lookbook, or multi-scene formats. Videos can be published directly to Shopify and connected to real product data, allowing brands to scale interactive video experiences across entire catalogs while tracking engagement and conversion impact. Key Features to Look for in an AI Image-to-Video Tool Choosing the right AI image-to-video tool determines whether the video becomes a scalable workflow or another fragmented asset type. For e-commerce teams, the most important features are those that connect generation, brand control, publishing, and performance measurement within a single system. Feature Why It Matters for E-Commerce Teams Motion and Scene Control Fine-grained control over camera movement, pacing, and transitions ensures videos feel intentional rather than automated. This allows teams to adapt motion styles for different product categories and placements without rebuilding videos from scratch. Brand Customization and Design Flexibility Tools should support consistent typography, color usage, overlays, and visual styles. Brand controls prevent variation drift when generating videos at scale and reduce the need for manual review across large catalogs. Interactive and Shoppable Capabilities Interactive elements allow customers to engage directly with products inside the video. Tolstoy’s AI Player enables clickable, conversion-focused video experiences embedded directly on-site, reducing friction between viewing and purchasing. E-Commerce Platform Integrations Native integrations simplify deployment and maintenance. For example, Tolstoy integrates directly with Shopify, allowing teams to publish videos to product pages and collections without custom development work. Multi-Format Export Options Videos need to adapt to multiple placements, including PDPs, ads, email, and social. Flexible export formats and aspect ratios prevent duplication of effort across channels. Analytics and Performance Tracking Measuring engagement, clicks, and revenue attribution connects video performance to business outcomes. Tools like Tolstoy track these signals at the video level, enabling data-driven optimization. Where to Use AI-Generated Product Videos Across the Customer Journey AI-generated product videos are most effective when placed intentionally across the customer journey. Different touchpoints require different video formats, pacing, and levels of interactivity to support discovery, evaluation, and conversion. Product Detail Pages: Videos on PDPs help customers understand products faster by showing scale, texture, and usage. Tolstoy’s AI Player allows brands to embed interactive videos directly into PDPs, enabling actions such as product selection or add-to-cart without disrupting the browsing flow. Landing and Collection Pages: On category and collection pages, videos help set context and guide exploration. Motion-based visuals can highlight featured products or themes, improving engagement while keeping layouts visually cohesive across large assortments. Paid Social and Performance Ads: Short-form AI-generated videos are well-suited for paid media, where attention is limited. Automated generation allows teams to refresh their creativity frequently and tailor videos to different audiences without increasing production costs. Email and SMS Campaigns: Embedding or linking to product videos in email and SMS adds visual depth to promotional messages. Videos can quickly communicate value propositions that static images may struggle to convey within a limited space. Post-Purchase Upsell and Cross-Sell Flows: Video can support post-purchase engagement by introducing complementary products or upgrades. Some platforms enable interactive post-purchase video flows, a capability supported by Tolstoy , allowing continued product discovery after checkout. Common Challenges When Turning Product Images Into Videos With AI While AI image-to-video technology simplifies video creation, teams still face practical challenges that affect quality and consistency. Understanding these constraints helps teams set realistic expectations and implement guardrails early: Low-Quality Source Images: AI systems rely heavily on input quality. Blurry images, inconsistent lighting, or inaccurate colors limit how effectively motion and depth can be generated, often resulting in videos that require additional review or regeneration. Unrealistic Motion or Visual Artifacts: Excessive camera movement or poorly inferred depth can make products feel distorted or artificial. This is more likely when motion settings are not calibrated to the product’s shape or when templates are applied too broadly. Brand Inconsistency Across Variations: Generating videos at scale increases the risk of visual inconsistency. Without defined brand rules, variations may differ in tone, pacing, or overlays, creating fragmented customer experiences across pages and campaigns. Limited Control Over Final Output: Some tools prioritize speed over precision. When customization options are limited, teams may struggle to fine-tune motion, layout, or messaging, reducing the usefulness of videos for conversion-focused placements. Best Practices for Creating High-Converting AI Product Videos High-performing AI-generated videos balance automation with intent. The practices below focus on aligning video creation with customer behavior, placement context, and measurable outcomes: Best Practice How It Improves Conversion Performance Capture Attention in the First Few Seconds Early motion and clear framing prevent users from scrolling past. Videos should surface the product immediately rather than relying on slow reveals or extended transitions. Highlight Key Product Benefits Early Showing primary features or use cases early reduces uncertainty. Customers should understand what the product is and why it matters before the video progresses. Match Video Format to Placement PDP videos benefit from subtle motion, while ads require faster pacing. Adapting format and length to placement ensures videos support, rather than disrupt, the surrounding experience. Keep Videos Short and Conversion-Focused Concise videos reduce cognitive load and keep attention on purchase decisions. Shorter formats are easier to deploy across multiple channels without re-editing. Test Multiple Variations Per Product Performance varies by style and placement. AI Studio tools , such as Tolstoy’s, allow rapid generation of multiple creative variations, enabling structured testing without production delays. How Tolstoy Turns AI Product Videos Into Shoppable, Revenue-Driving Experiences Tolstoy's AI Commerce platform transforms static product visuals into dynamic, interactive videos that boost engagement and sales across e-commerce sites. Create AI-Generated Product Videos With AI Studio Tolstoy AI Studio turns product images into high-converting videos at scale. Sync your catalog, chat with the AI creative agent for on-brand motion graphics, and animate flat lays into PDP-ready clips. Publish directly to your store without editing, enabling fresh content for every SKU and campaign. Deliver Interactive Video Experiences With AI Player AI Player turns approved video into shoppable storefront content. Tolstoy can import media from connected sources such as TikTok and Instagram, associate it with products, and publish interactive galleries on product pages. Shop App publishing is available for eligible Shopify stores. Power Conversational and Guided Shopping Experiences With AI Sales Agent AI Sales Agent adds ChatGPT-like chats trained on your catalog, with virtual try-on, sizing advice , and in-chat add-to-cart. It answers top questions on PDPs, upsells to boost AOV by 150%, and builds customer profiles for Klaviyo syncs. Add Clickable Product Tags and Shoppable Calls to Action Tag products directly in videos for seamless clicks to cart, reducing friction in shoppable experiences. AI Player handles variant matching and CTAs, turning UGC or AI clips into revenue channels across sites and apps. Embed Videos Across PDPs, Landing Pages, and Campaigns Place shoppable feeds on PDPs, hero banners, collections, and social landings via no-code embeds. AI Player optimizes for speed with lazy loading, supporting stories, carousels, and abandonment emails for full-funnel impact. Integrate Seamlessly With Shopify and Other E-Commerce Platforms One-click Shopify installs auto-sync catalogs; supports WooCommerce, Magento, VTEX, Tapcart apps, Klaviyo, Gorgias, and Yotpo. Real-time data flow ensures personalized videos without custom development work (manual coding, API integrations, scripting, etc.). Track Engagement, Clicks, and Revenue Attribution From Video Analytics capture scrolls, clicks, AOV uplift, and conversions per asset. Tie video performance to revenue, auto-optimize with A/B testing, and refine strategies using insights from syndication and chats. Conclusion AI image-to-video technology expands how e-commerce teams use their existing product imagery. Instead of treating video as a limited creative asset reserved for a few products, teams can generate motion-based content directly from catalog images and deploy it across product pages, campaigns, and lifecycle channels. This shifts video creation into a repeatable workflow that aligns with merchandising operations and catalog updates. The approach works best for brands that already maintain strong product image libraries but lack the capacity to produce traditional videos at scale. In those cases, AI generation introduces visual depth, motion, and storytelling without adding production complexity or new creative pipelines. When paired with clear brand guidelines and channel-specific formatting, AI-generated product videos support broader catalog coverage, faster content refresh cycles, and more consistent visual experiences across the customer journey. --- # Deploying AI Agents for UGC Content in Ecommerce URL: https://www.gotolstoy.com/blog/ai-agents-ugc-ecommerce Author: Roni Shif | Published: 2026-03-06 Summary: Learn how ecommerce brands can use AI agents to generate, manage, and scale UGC-style content efficiently while ensuring compliance and performance. AI agents now make it possible to generate UGC-style content (reviews, short-form videos, creator-style ads) at a pace and precision that manual teams can’t match. This guide gives ecommerce leaders a practical roadmap to deploy agents that create, manage, and scale UGC while preserving brand safety and measurable ROI. You’ll learn how to set goals, pick the right agent architecture, design multi-agent workflows, operationalize RAG for accuracy, implement guardrails, pilot effectively, and govern at scale. Throughout, we ground recommendations in real-world tooling and results, so you can transition from proof of concept to always-on UGC engines (aligned with your voice and inventory) and convert more shoppers with less friction. For rapid execution with conversational commerce and shoppable video, Tolstoy’s AI Studio unifies creation, testing, and distribution across channels. Define Goals and KPIs for AI-Driven UGC Before you spin up any agents, decide what business impact they must deliver and how you’ll measure it. KPIs (Key Performance Indicators, measurable metrics used to gauge the effectiveness of strategies and tools in achieving business objectives) ensure your AI program tracks to outcomes, not activity. As one benchmark notes, “tracking KPIs like time saved, accuracy rate, cost reduction, forecast precision, and ROI is critical for understanding the real impact of AI agents” (see Prediko’s 2026 ecommerce agent examples). Prioritize UGC-focused KPIs that map to revenue and efficiency: Conversion rate uplift across product pages and ads Creative refresh velocity (how often new variants go live) Cost-per-asset (fully loaded, including reviews and edits) Moderation accuracy (brand safety, policy compliance) Inventory-linked campaign precision (content aligns with stock, margins) Quick reference: traditional vs AI-driven UGC KPI Traditional UGC (manual) AI-driven UGC (agentic) How to measure Conversion rate uplift +0–5% from sporadic updates +5–20% via always on refresh/testing A/B tests on PDPs/ads Creative refresh velocity Monthly/quarterly drops Daily/weekly variant launches New assets published per period Cost-per-asset $150–$750 $20–$150 Total creative cost ÷ assets approved Moderation accuracy 85–92% manual review 95–98% with automated + human in-loop Precision/recall vs policy set Inventory linked precision Low, lagging content High, triggers by stock/margin Campaigns tied to inventory events Tie each KPI to a baseline and a time-bound target. Codify success criteria for pilot, rollout, and scale phases so teams know when to expand scope or refine. Choose AI Agent Architecture and Tools In this context, architecture is the overall structure and integration of AI agents, tools, and data pipelines that power automated UGC workflows. Your choice balances speed-to-deploy with depth-of-control. No-code AI agent platforms for ecommerce: Tolstoy, Workbeaver, Twin, Lindy, and n8n enable fast orchestration, form-based logic, and native connectors, ideal for marketing teams and rapid iteration. See USAII’s comparative guide to tools and frameworks for a high-level view of agent stacks. Developer-first frameworks: AutoGen, LangGraph, Vertex AI, and Copilot Studio unlock multi-agent planning, tool calling, custom evaluators, and granular governance, best for engineering-led teams building durable, scalable systems (also browse this community curated 2026 agent tool roundup). UGC video generation tools: Koro, Creatify, Runway, and Pencil specialize in creator-style ads, face/voice synthesis, and structured variant testing. For orientation, review the UGC ad tool landscape and Koro’s UGC video generator overview. For broader market picks, scan Blaze’s 2026 UGC tools overview. Snapshot: tool selection by deployment needs Tooling category Examples Deployment speed Integration depth Scalability Best for No-code agents Tolstoy, Workbeaver, Twin, Lindy, n8n Fast Medium Medium– High Marketers, growth ops Dev frameworks AutoGen, LangGraph, Vertex AI, Copilot Studio Medium High High Eng-led programs UGC video/ad tools Koro, Creatify, Runway, Pencil Fast Variable Medium– High Creative teams, performance ads Tip: Start with no-code agents to prove value, then migrate repeatable wins into a developer framework for scale and governance. Design AI Agent Roles and Workflows for UGC An agent role is a specific task focus (such as capture, moderation, or distribution) assigned to an AI agent or workflow to optimize UGC processes. Separating roles clarifies ownership, speeds triage, and improves QA. Recommended roles across the UGC lifecycle: Content capture and UGC ingestion: aggregate ratings/reviews, collect creator videos, scrape social mentions, normalize metadata. Moderation and rights tagging: enforce brand/policy rules; detect risk; tag usage rights, creator consent, and expiration. Variant generation: produce UGC-style video cuts, captions, aspect ratios, CTAs; localize and personalize to audiences. Multi-channel distribution: push to social, ads, PDPs, and email; manage creative fatigue and testing schedules. Choreography matters. One agent ingests and de-duplicates raw content; another applies policy and rights; a generator spins variants; a distributor schedules and monitors performance signals; a tester routes traffic to top performers; and an analytics agent closes the loop. As documented, “multi-agent workflows can coordinate Payment, Order Management, and Ticket Management agents for buyer support” (see TechMonk’s ecommerce agent examples), the same orchestration pattern transfers cleanly to UGC. Visualize the flow for your team with a simple process diagram, and annotate hand-offs, SLAs, and fallbacks. Prepare Data and Retrieval-Augmented Generation Retrieval-augmented generation (RAG) is an AI technique that enhances content creation using real-time access to relevant brand data (product info, usage rights, and creative assets) during generation. RAG keeps outputs accurate, on-brand, and legally compliant. Data prep essentials: Centralize product metadata: titles, attributes, benefits, pricing, inventory, and bundles. Enforce schema governance so agents reference consistent fields end-to-end (a best practice highlighted in Prediko’s 2026 ecommerce agent examples). Curate creative asset libraries: approved footage, B-roll, music, VO, brand kits, and exemplar UGC for style transfer. Maintain up-to-date rights and consent: store creator contracts, license terms, region restrictions, and expiry; have agents check rights before generation or distribution to reduce legal and reputational risk. Build UGC data pipelines: orchestrate ingestion, metadata enrichment, and vector indexing to power RAG for ecommerce UGC. Minimum data checklist for agentic UGC Asset type Examples Must-have fields Product data Title, variants, dimensions, benefits SKU, category, attributes, inventory status Media library Product images, demo clips, B roll Usage rights, creator ID, expiration, tags Brand guidance Tone, messaging pillars, CTA library Approved phrases, banned topics Claims & policies Ingredients, certifications, disclaimers Region rules, claim substantiation links Performance data CTR, CVR, watch time Channel, audience, creative ID Implement Guardrails and Observability Measures Guardrails are input/output validation rules and privilege restrictions that prevent AI agents from making errors or using unauthorized data. Pair them with observability to catch issues early and control cost/performance trade-offs. Best practices for AI agent observability and control: Set up input validation filters: schema checks, PII scrubbing, and brand-safety keyword blocks. Configure output moderation and rollback: verify factual claims, rights, and tone; auto revert to last-safe creative if violations occur. Assign audit triggers and judge loops: use LLM judges or classifiers to score policy fit; escalate to human-in-the-loop for high-risk outputs. Monitor in real time: latency, error codes, tool-call counts, and spend per asset; maintain immutable audit logs. “Observability of workflows lets teams monitor agents in real time and detect issues early,” as noted by TechMonk’s analysis. Mitigate common risks: model drift, input errors, and runaway costs can be reduced with schema governance, rate limiting, and periodic review. Emphasize UGC moderation accuracy and AI guardrails in ecommerce, where content is public-facing and heavily regulated (claims, endorsements, children’s privacy, etc.). Pilot AI Agent Deployment and Measure Performance Launch small, learn fast, then scale. Start with a narrow SKU cohort or one category to validate UGC quality, governance, and lift before a wider rollout. Instrumentation for proof: Track ROAS, cost-per-asset, creative engagement (watch time, saves, shares), variant win rates, and moderation accuracy. Use pre/post or split tests on PDPs and paid channels; hold out a manual-creative control for clarity. Anchor expectations in market signal: retailers reported 15% higher conversion using AI chatbots during Black Friday 2025 (see Planetary Labour’s 2026 impact review), a strong proof point for AI-driven engagement. Pilot deployment steps (template): 1. Define KPI targets and risk thresholds 2. Prepare RAG corpus and rights registry 3. Configure agent roles and guardrails 4. Generate a week of UGC variants; human review tiered by risk 5. Launch A/B tests; cap budgets; log all outputs 6. Analyze results; refine prompts/models 7. Scale winning variants; retire underperformers 8. Document learnings; update playbooks Build an “AI UGC creative testing” cadence—short bursts, clear metrics, rapid iteration—to compound the ROI of AI UGC. Scale AI Agents and Establish Governance Protocols Governance protocols are formal processes and rules that ensure AI agent outputs remain compliant, consistent, and aligned with business and regulatory expectations. Treat them as part of your operating system, not an afterthought. Automate quotas and budget controls: cap daily generations, tool calls, and media renders; alert on anomalies. Tier approvals by risk: auto-ship low-risk variants; require human review for high-claim content or new markets. Plan for regulation: “The EU AI Act is effective August 2, 2026, plan compliance early” (see Product School’s 2026 AI compliance overview). Map obligations alongside the NIST AI Risk Management Framework and your internal policies. Governance and compliance checkpoints Area Checkpoint Owner Frequency Policy & rights Rights validation before publish Legal/Brand Safety Continuous Model & data Drift detection and RAG source audits Data/ML Weekly Performance KPI review vs targets (CVR, cost/asset) Growth/CMO Biweekly Cost Spend per asset and rate limiting Finance/Ops Daily Security Access controls and audit log review Security/IT Monthly Compliance EU AI Act/NIST alignment updates Risk/Legal Quarterly Keep continuous monitoring in place to adapt to model changes, inventory shifts, and policy updates without sacrificing speed. --- # AI Sizing vs. Virtual Try-On for Shopify Fashion Stores URL: https://www.gotolstoy.com/blog/ai-sizing-virtual-tryon-shopify Author: Gal Aharoni | Published: 2026-03-06 Summary: Choose between visual try-on and size guidance for Shopify. Compare required inputs, buyer questions, privacy checks, and a practical pilot. Visual try-on helps a shopper imagine a product's appearance. Size guidance helps a shopper choose a size using product and customer information. A realistic generated image does not establish garment measurements, physical fit, or how the fabric will feel. For a Shopify fashion store, begin with the question customers ask most often. Then evaluate the specific capability that answers it, the data it needs, and how you will measure the result. Separate appearance from fit Shopper question Capability to evaluate What it does not establish by itself How might this style look on me? Visual try-on from a shopper image or another supported input Correct size, pressure, comfort, or exact drape Which size should I buy? Brand-specific chart, fit guidance, or a size-recommendation workflow A realistic image of the shopper wearing it How does this garment measure? Verified garment dimensions and a measurement guide The shopper's preferred amount of ease Does it run small? Reliable product fit notes and relevant customer feedback A guarantee for every body shape Keep a useful size chart and fit notes visible even when try-on is available. Explain whether a chart lists body measurements or finished garment measurements. Mixing those two can create confusion before any AI feature is involved. Prepare the inputs for the chosen job For visual try-on, evaluate the reference-image requirements and the product categories the specific workflow supports. Test products with prints, layers, unusual cuts, and fine detail. Review whether the result changes the garment's length, construction, color, or logo. For sizing guidance, assemble the brand's actual size charts, measurement instructions, garment-specific fit notes, and known exceptions. Ask what customer inputs the tool uses and how it handles missing information. A recommendation should have an understandable basis and a fallback when the data is insufficient. [Tolstoy AI Sales Agent](/product/ai-shopper) includes a visual try-on experience as part of guided shopping. Validate your category, inputs, and customer journey in a product walkthrough. Do not infer body scanning, physical fit simulation, or a guaranteed return reduction from the presence of a try-on feature. For content production rather than shopper guidance, [AI product photography](/ai-product-photography) is a separate workflow. Ask these questions before a pilot Area Question to answer Evidence to request Capability Is this visual generation, a size recommendation, or both? A demonstration using your product and the required inputs Coverage Which categories, poses, images, and devices work? Supported cases plus a difficult case from your catalog Accuracy What happens when the output or recommendation is uncertain? A visible fallback and examples of failure handling Data What images or measurements are collected and retained? Current data-flow and retention documentation Integration How does the shopper open it and return to the right product? A mobile and keyboard walkthrough in your theme Measurement Which events and outcomes can the store export? Event definitions and a sample reporting view Review privacy and usage terms with the people responsible for those decisions at your company. Confirm the purpose of image collection, storage duration, deletion process, vendor access, and any use for model training. Do not assume that every provider uses the same controls or that a marketing statement proves compliance. Design a useful pilot Choose a defined product category and keep a comparison group where practical. Start with products that have clear references and consistent sizing information. Include difficult cases deliberately instead of selecting only the easiest images. Before launch, test the entry button, upload requirements, consent copy, error states, generated output, return to the product page, and the fallback size guidance. Keep a route that does not require a shopper to provide a photo. A try-on failure should not prevent someone from reading the product details or buying. Use the [online clothing sizing guide](/blog/sizing-guide-to-buying-clothing-online) to review the basic size information your page already provides. Improving that information can be a useful first step regardless of which tool you choose. Measure usage, conversion, and returns separately Record eligible product-page visits, feature starts, completed experiences, errors, product or size selection, and purchases. Specify whether the unit is a session, shopper, item, or order. Comparing people who chose try-on with everyone else can reflect different purchase intent, so use a controlled comparison when possible. Returns need a later read. Wait until the relevant return window has matured and compare consistent cohorts. Separate size-related reasons from damage, delivery, preference, and other reasons. Record any concurrent changes to discounts, stock, product mix, or return policy. A higher feature-completion rate shows that the experience is easier to use. It does not alone prove fewer returns. Set the decision rule before the pilot: which product errors require a pause, which usage or conversion result supports expansion, and when the returns data will be mature enough to review. Discuss a try-on pilot for your Shopify catalog with Tolstoy, including your product category, required inputs, and the buyer question you need to answer. --- # How to Generate Product Images With AI: A Reviewable Workflow URL: https://www.gotolstoy.com/blog/how-to-generate-product-images-with-ai Author: Roni Shif | Published: 2026-02-25 Summary: Generate AI product images from approved references. Use a reusable creative brief, SKU checklist, and review process before publishing. To generate product images with AI, start with an accurate product reference, describe one intended scene, generate a small set of options, and compare each output against the real product before use. A realistic-looking image can still have the wrong logo, material, or construction. This workflow is for ecommerce creative and merchandising teams producing lifestyle scenes, on-model options, or campaign crops. It gives each output a clear source, brief, and approval decision. 1. Prepare one input packet per product Keep the product information and source images together. Use the correct variant, not a visually similar SKU. A reference that shows only the front of a bag does not establish how its back, lining, or strap attachments look. Input What to include Why it matters Product identity SKU, variant, approved name, and source photo Prevents the wrong color or version entering a batch Visible detail Clear reference views of labels, closures, seams, and texture Gives reviewers something concrete to compare Product facts Actual dimensions, material, and approved claims Separates known facts from visual invention Creative direction Placement, composition, light, background, and crop Makes acceptance criteria clear before generation Usage rights Permission for source images, people, and brand assets Keeps the approval decision with your team Remove unrelated products from the input set. If two variants differ only in trim or a small label, call out that difference in the review notes. Keep the original image unchanged so the reviewer can compare it with the output. 2. Write a bounded creative brief Use a brief that names the product, scene, and visible details to preserve. The following is a planning example, not a promise that a model will follow every instruction: > Create a lifestyle image of SKU BAG-042 in the approved olive color, using the supplied product references. Show the bag resting on a pale stone bench in soft daylight. Keep the front label, two handles, visible stitching, and rectangular shape consistent with the reference. Use a vertical crop with room above the product for campaign copy. The final image will be reviewed against the source before publication. Keep product facts out of the model's imagination. If a scene needs a feature you cannot verify, such as a waterproof bag in heavy rain, change the scene or obtain the evidence first. For a factual demonstration of capacity, photograph the actual contents rather than generating an apparently precise fit. 3. Generate a small set and compare like with like Start with one product and one direction. Save the input, brief, model or workflow used, output, and reviewer decision together. Change one part of the brief at a time so you can tell which adjustment helped. [Tolstoy AI product photography](/ai-product-photography) supports the creation and review of on-model, lifestyle, and product-photo directions from product and brand inputs. Brand context can guide the result, but it does not remove the need for human product review. Check the available workflow and export options for your account before planning a bulk rollout. 4. Use a product-fidelity gate Review area Compare with the reference Reject or revise when Identity Color, logo, text, pattern, and variant The image shows a different product or unreadable invented label Construction Closures, seams, handles, ports, and components A functional or structural detail changes Material Texture, transparency, finish, and visible weight The image implies a different material or quality Context Relative size, contact with surfaces, shadows The scene makes product scale or use misleading People Hands, anatomy, garment placement, and permissions Artifacts or rights issues remain unresolved Do not average a serious product error into an overall aesthetic score. An attractive image with a false feature fails the product check. Use photography, compositing, or controlled retouching when generation repeatedly misses a critical detail. The [brand-trust review guide](/blog/ai-product-content-brand-trust-ecommerce) gives more context for separating visual creativity from product claims. 5. Prepare the image for its placement Check the approved output at the actual display size. Crop for the placement without hiding a feature the shopper needs. Export dimensions and compression appropriate for that surface, then inspect text and fine detail after export. A web image's pixel dimensions and encoded file size matter more than a print DPI label. Write useful alt text that describes what the image shows. Keep essential product facts in visible page copy. Review the destination's current image rules before using generated content on a marketplace; AI generation does not itself make an image compliant. 6. Measure production and page results separately Track approved assets divided by generated assets, review effort, correction reasons, and cost per usable output. These tell you whether the production process is improving. For a storefront experiment, keep the product, price, offer, and traffic source as stable as possible. Compare the relevant page action, such as add-to-cart, against a defined control. Record the sample size and test dates. A higher click rate on an image is not proof of higher revenue, and a short before-and-after comparison can reflect a promotion or a change in traffic. If you later turn the approved image into motion, use the separate [AI product-video review checklist](/blog/best-practices-for-ai-product-videos). An image that passed review can still change during generation of a video. Book an AI Studio demo for your product-image workflow and bring a representative product, its reference photos, and your review criteria. --- # How to Create Shoppable AI Videos for Shopify URL: https://www.gotolstoy.com/blog/how-to-create-shoppable-ai-videos-for-shopify Author: Nimrod Popper | Published: 2026-02-20 Summary: Create shoppable AI videos for Shopify with best practices, placement tips, performance metrics, and learn how Tolstoy helps boost conversions. Key Takeaways Turn Videos Into Checkout Tools: Shoppable AI videos let customers click on products and add them to the cart directly inside the video, reducing the steps between watching and buying. Place Videos Where Decisions Happen: Add them to product pages, collection pages, and landing pages where shoppers are comparing options and need clarity to move forward. Keep It Short and Focused: Videos under 60 seconds that highlight one or two products tend to drive more clicks and add-to-carts without overwhelming shoppers. Track What Actually Drives Revenue: Measure tag clicks, add-to-cart rate, conversion rate, and revenue tied to video to see which content truly impacts sales. Test and Optimize Continuously: Performance depends on placement, tagging accuracy, and video quality, so regularly test formats, length, and positioning to improve results over time. As AI video tools change how products are shown online, studies suggest that 84% of consumers want more videos from brands in 2026. For Shopify stores, this shift changes the role of the product page. Instead of relying only on images and text, the page can guide shoppers through how an item looks, fits, or works in real use, while keeping purchase actions directly within the experience. Shoppable AI videos make that possible without a full production team or long timelines. AI-powered shoppable videos extend product pages beyond passive viewing. They show products in use, surface relevant details at the moment shoppers need them, and allow customers to purchase directly within the video experience. When implemented well, they add a layer of guidance inside a Shopify store that reduces friction, clarifies decisions, and helps more shoppers move from interest to checkout. If you are choosing the app before you build the workflow, compare the requirements on Tolstoy’s Shopify video app page . What Is a Shoppable AI Video for Shopify? A shoppable AI video for Shopify is an interactive video generated by AI tools, embedded directly on store pages, where viewers click product tags to buy instantly without leaving the video. Shoppable AI videos can be created from existing assets like product shots and UGC , then published as interactive video experiences across PDPs, collections, ads, and campaigns. These experiences connect videos to Shopify products (SKUs/variants) through tagging, so shoppers can add items to their cart directly from the video. Widgets enable stories, full-screen pages, or UGC integration, boosting revenue via higher engagement. They replace static images, lifting conversions by blending storytelling with direct sales paths. Some platforms add virtual try-on and AI guidance to improve purchase confidence and help shoppers choose the right product. This approach brings a TikTok -style shopping experience into the Shopify environment, where brands control the customer journey, data, and checkout. Shoppable AI Videos for Shopify vs Standard Product Videos Standard product videos on Shopify are typically linear assets. They demonstrate a product, but the purchase action lives elsewhere on the page, requiring shoppers to pause the video, scroll, and locate the item manually. Shoppable AI videos integrate product selection and cart actions directly into the video layer within the Shopify store. This keeps viewing and purchasing connected, while AI enables video creation, product tagging, and distribution across multiple pages without manual effort. Here are some practical differences between standard product videos and shoppable AI videos for Shopify, across shopping experience, conversion flow, and storefront use cases: Shoppable AI Videos for Shopify Standard Product Videos Built to integrate directly with Shopify product catalogs and carts Embedded on Shopify pages as standalone media assets Enable add-to-cart actions inside the video player on Shopify pages Require shoppers to exit the video, locate the product manually, and add to the cart. Reduce steps by keeping shoppers within the Shopify storefront and checkout flow Add friction between viewing and purchase within the Shopify flow Optimized for mobile-first Shopify traffic Often treated as secondary content on mobile Support video-first storefronts using Shopify apps and native integrations Limited to visual storytelling without direct commerce actions How Shoppable AI Videos Work on Shopify Shoppable AI videos turn product pages into interactive experiences that guide shoppers from discovery to purchase. These videos combine demonstrations, product information, and purchase options in a single format, making it easier for customers to better understand the items and take action without leaving the page. Video Playback with Embedded Product Context Shoppable AI videos on Shopify play directly within product pages, collections, or landing sections. Videos can feature product demos , UGC, or use-case scenarios, while displaying the exact products shown. Product details such as price, variants, and availability are pulled directly from the Shopify catalog. In-Video Product Tagging and Add-to-Cart Actions AI tools can automatically tag products inside videos and connect them to Shopify SKUs. Shoppers can select variants and add items to their cart without leaving the video player. This removes the need to search for the product separately on the page. Seamless Checkout Handoff Within the Shopping Flow When a shopper adds a product from a video, it is added directly to their Shopify cart. The shopping session continues without interruption, enabling buyers to proceed to checkout when ready. This keeps video engagement and purchasing within a single, continuous flow. Where to Add Shoppable AI Videos in Shopify Shoppable AI videos on Shopify can be placed across multiple touchpoints, including product pages, collection pages, homepages, and post-purchase flows. While they can also be reused in emails or ads, their primary strength comes from being embedded directly into the storefront. These videos perform best when placed at decision points within the Shopify shopping journey. They support product discovery, answer common questions, and guide shoppers toward purchase without having them leave the page or break their browsing flow. Here are several placements where shoppable AI videos can be used effectively: Product Detail Pages: Product detail pages are a great place to add shoppable AI videos that enable your customers to see products in action. Here you can show videos that highlight the key features or give customers a closer look. Homepage and Featured Sections: Shoppable AI videos can be used on the Shopify homepage to spotlight best-selling products, new launches, or seasonal collections. Featured sections can support promotions by pairing short videos with direct product actions. Collection and Category Pages: On collection pages, shoppable AI videos can help explain how products relate to each other or guide shoppers toward the right option. Videos embedded at this stage support discovery while keeping product selection within the Shopify flow. Landing Pages and Campaign Pages: Since these pages are highly optimized for sales, you can place your shoppable AI videos in campaign or promotional pages to tell a product story and drive focused conversions. Videos on these pages can reinforce campaign messaging and allow shoppers to purchase without navigating away from the page. Email, SMS, Paid Ads, and Social Channels: Shoppable AI videos can be reused in emails, paid ads, and social posts, with links directing shoppers back to the Shopify store for checkout. This keeps the purchase experience centralized within Shopify rather than fragmented across platforms. How to Measure Shoppable AI Video Performance Tracking performance is key to understanding how your videos impact shopper behavior and sales. The right metrics reveal which videos drive engagement, encourage purchases, and deliver measurable revenue. Click-Through Rate and Engagement: Tracks how often viewers interact with products or calls-to-action within the video. CTR measures how many clicks a video receives, and engagement metrics such as likes, comments, shares, and views indicate whether your videos are engaging viewers. Add-to-Cart and Conversion Rate: Measures how many viewers move from watching to adding items to their cart and completing purchases. A high add-to-cart and conversion rate indicates your videos are effective at driving purchases. Revenue Attributed to Video: Tracks the direct sales generated from video interactions to evaluate ROI . Revenue attribution is synced with Shopify data, allowing merchants to measure sales generated from video interactions. Watch Time and Drop-Off Points: Identifies where viewers lose interest so you can optimize video length, content, and pacing. These indicators may not directly drive sales or revenue, but they can highlight how long viewers stay engaged and where they lose interest. Analyzing these metrics helps you retain attention. A/B Testing and Placement Performance: It’s important to test different versions of your videos (A/B testing), placements, and messaging on the same platform. It helps you identify which versions and placements are generating higher engagement and conversions. Benefits and Limitations of Shoppable AI Videos for Shopify Shoppable AI videos offer a measurable way to boost engagement and conversions, but they aren’t a set-and-forget solution. Understanding both their strengths and constraints helps brands use them effectively and set realistic expectations. Benefits Limitations Shorter Path from Discovery to Purchase: Reduces steps between viewing a product and adding it to the Shopify cart by embedding purchase actions directly in the video. Requires Video or UGC Inputs to Perform Well: AI improves efficiency, but performance still depends on the quality of product videos or user-generated content connected to Shopify products. Higher Add-to-Cart Intent from Video Viewers: Product tags connected to Shopify SKUs make it easier for shoppers to add items while watching, increasing purchase intent. Results Depend on Product Tagging and Placement Quality: Poor SKU tagging or weak placement within Shopify pages can reduce impact. Better Engagement on Mobile-First Shopping Journeys: Supports mobile-first shopping on Shopify by keeping video playback and add-to-cart actions within Shopify pages on mobile. Performance Varies by Page Type and Audience Segment: Performance may vary across Shopify product pages, collection pages, and landing pages because each page type has a different layout, content density, and shopper behavior, requiring merchants to adjust video placement and tagging accordingly. Scalable Video Commerce Across Multiple SKUs: AI tools can generate and tag videos across multiple Shopify products without manual setup. Testing Needed to Optimize Layouts and Video Length: Video length, placement, and format should be tested to align with different Shopify themes and page structures. Reusable Video Assets Across On-Site and Paid Channels: Videos can be reused on product pages, collections, landing pages, and Shopify-connected marketing channels. - Best Practices for Shoppable AI Videos on Shopify Effective shoppable AI videos balance product clarity, engagement, and ease of purchase. Following proven practices ensures your videos drive action without overwhelming shoppers. Keep Videos Short and Product-Focused: Create videos between 30-60 seconds that clearly highlight one or two products. On Shopify, shorter, focused videos help shoppers stay engaged and act on product tags without losing context or interest. Limit the Number of Clickable Products Per Video: Although Shopify allows multiple products per video, limiting tags to one or two ensures customers aren’t overwhelmed. Fewer products per video increases the likelihood that shoppers will add items directly to the Shopify cart. Use UGC and Creator-Style Content: Videos featuring authentic user-generated or creator-style content perform well on Shopify because they feel relatable and trustworthy. Turning these into shoppable videos increases engagement and encourages shoppers to add products to their cart. Place Videos Above the Fold on Key Pages: Embedding videos in high-visibility spots, such as product detail pages, featured homepage sections, or landing pages, ensures shoppers see them without scrolling. On Shopify, this placement drives clicks on product tags and improves conversion rates. Test Formats, Placement, and Messaging Regularly: Experiment with different video formats and placements across Shopify pages to understand what performs best. Video messaging should align with how shoppers evaluate products in your store, focusing on clarity, relevance, and product context. Regular testing helps refine what information to surface and when, without overwhelming the shopper. Creating High-Converting Shoppable AI Videos for Shopify with Tolstoy Tolstoy’s AI-powered video commerce suite turns static Shopify product pages into interactive shopping experiences designed to drive sales. Its flagship products: AI Player, AI Studio, and AI Sales Agent, enable shoppable video creation, simple embedding across store and marketing channels, and revenue generation through clickable hotspots, personalized recommendations, and detailed analytics. Here’s how each product fits into a modern ecommerce workflow: Sync Shopify Products Automatically with AI Studio: Tolstoy’s AI Studio pulls your entire Shopify product catalog into its interface, generating video ideas, scripts, and visuals based on your inventory. This removes the need for manual uploads and helps ensure videos reflect current pricing, variants, and availability. For Shopify merchants managing multiple collections, this sync supports shoppable video creation at scale, making it easier to keep seasonal launches and bestsellers current and purchase-ready. Add Clickable Product Tags Inside Videos Using AI Player: With AI Player , Tolstoy detects and overlays relevant, clickable product tags directly onto videos, allowing viewers to interact with products as they watch. These tags enable actions like “Add to Cart” or “Buy Now” within interactive video widgets and feeds, displaying real-time pricing pulled from Shopify. This approach works especially well in product demos and lifestyle footage, where shoppers can explore details without leaving the video, increasing interaction rates. Enable In-Video Add-to-Cart Actions with AI Sales Agent: AI Sales Agent supports in-video add-to-cart actions that allow customers to purchase without page reloads or app switches. A shopper can select a featured product inside the video and complete checkout through Shopify’s native flow. This keeps the buying process uninterrupted and is particularly effective for mobile users who prefer faster and instant checkout. Capture, Curate, and Reuse UGC at Scale with AI Studio: Tolstoy allows brands to import content from TikTok, Instagram, Google Drive, and other sources, making it easy to turn existing UGC into shoppable video experiences. The AI curates relevant clips, which can then be edited, tagged, and reused across Shopify pages, email, SMS, and paid campaigns. This makes it easier to incorporate customer voices into shoppable videos, helping support trust and product understanding at scale. Customize Videos Using Prebuilt Templates in AI Studio: AI Studio includes a library of prebuilt templates and layouts designed for Shopify use cases, including hero sections and carousel embeds. Merchants can adjust colors, typography, animations, and calls to action to match brand guidelines, while optional AI enhancements such as voiceovers or effects help streamline production. This enables teams without dedicated video resources to produce consistent, on-brand content efficiently. Guide Shoppers with AI-Driven Personalization via AI Sales Agent: AI Sales Agent provides intelligent product recommendations and guidance within the browsing and video experience. A repeat buyer sees upsell-focused clips, while new visitors get intro offers, all without coding. This targeting improves relevance across sessions and encourages repeat visits through video experiences aligned with individual shopping intent. Embed Videos Anywhere without Code Using AI Player: AI Player's no-code embeds drop shoppable videos into any Shopify spot, PDPs, collections, homepages, blogs, or external channels like email and social. Just copy-paste the link, and it auto-adapts to mobile/desktop with Shopify checkout. This flexibility supports rapid testing across placements without relying on developer resources. Track Clicks, Carts, and Revenue with Built-In Analytics: Across AI Player, AI Studio, and AI Sales Agent, Tolstoy's dashboard delivers granular insights: video completion rates, tag click-throughs, added-to-cart events, and attributable revenue synced to Shopify orders. Detailed engagement insights help identify which videos and product tags drive the most interaction. Conclusion Shoppable AI videos are revolutionizing video commerce, empowering Shopify brands to deliver instant, interactive shopping experiences that rival TikTok and Instagram, driving higher ROI through effortless product discovery. When paired with AI, these shoppable videos simplify scaling as brands can bulk-tag products across hundreds of videos and automate distribution to targeted channels. Tools like Tolstoy make it seamless to create, embed, and reuse these videos at scale, blending personalization, speed, and efficiency to boost sales and customer engagement on Shopify. --- # Why Meta Ads Get Expensive and How AI Fixes Creative URL: https://www.gotolstoy.com/blog/meta-ads-expensive-ai-creative-refresh Author: Tolstoy Team | Published: 2026-02-16 Summary: Discover why Meta ads get more expensive over time and how AI creatives refresh strategies, improve performance, and reduce ad fatigue. That campaign that was crushing it two weeks ago? Check your dashboard. CTR is dropping, CPA is climbing, and your frequency just passed 3.0. You know exactly what's wrong. Your creative is stale. You just can't produce new assets fast enough to fix it. This is the trap almost every e-commerce brand is stuck in right now. And in 2026, it's getting worse. U.S. Meta ad CPCs climbed 19% year-over-year to $1.67, according to WordStream's 2025 benchmark report . The algorithm punishes stale creative harder than ever. The brands that are winning aren't winning on targeting or bidding. They're winning because they produce more creative, faster. Here's how to join them. The Production Problem Best practice says refresh your ad creative every 7 to 14 days. Multiply that across your catalog and you need hundreds of new assets a month. Way more than any team, designer, or agency can realistically deliver. That's the entire problem. Not strategy. Not budget. Production speed. What Changes When Creative Takes Minutes, Not Weeks Tolstoy's AI Studio lets you generate studio-quality product images and videos from a simple text prompt. No photoshoot, no designer queue, no agency timeline. Describe what you want in plain English. Something like "lifestyle shot of this serum on a marble countertop, soft lighting." It produces catalog-ready assets you can use immediately. That means instead of running one product image until it dies, you start with five variations on day one. Different angles, backgrounds, styling. When variation one fatigues, you rotate in variation two. When you need a fresh batch, it takes minutes instead of weeks. The feedback loop between "this ad is dying" and "new creative is live" goes from a sprint cycle to the same afternoon. How It Works in Practice AI Studio connects directly to your product catalog, so it already knows your SKUs, images, and product data. From there, the workflow is five steps: 1. Sync your catalog. AI Studio pulls your existing product images, even basic flat lays, as source material. 2. Pick a template or prompt from scratch. Choose from pre-built creative templates (lifestyle scenes, seasonal themes, studio setups) or describe exactly what you want using the AI Creative Agent chat. 3. Generate in bulk. Select the products you need new creative for and generate dozens of variations at once. Different backgrounds, angles, and styling, all in a single batch. 4. Review and approve. Moderate the outputs. Keep what works, regenerate what doesn't. You stay in control of brand quality. 5. Publish directly. Push approved assets straight to your storefront, ad campaigns, or content library. No exporting, re-uploading, or reformatting. The entire cycle, from "I need new creative" to "it's live," takes minutes. That's what makes a 7-day refresh cadence realistic instead of aspirational. Why This Matters More in 2026 Than Ever Before Meta is making this explicit with every algorithm update. Advantage+ automates your audience targeting. Broad is outperforming micro-segmentation. The one variable you actually control in the auction is the quality, diversity, and freshness of your creative. That's what determines your CPM, your reach, and your ROAS. The top-performing brands are running 8 to 12 active variations per campaign and refreshing a quarter of their creative library every month. They're not doing this because they have bigger teams. They're doing it because they removed the production bottleneck. Stop Waiting on Creative. Start Generating It. Every day you run fatigued creative is a day your CPA climbs and your competitors pull ahead. The brands that figured out how to produce at the speed the algorithm demands aren't going back. And the gap is widening. You can keep watching your CPA climb while you wait on the next round of assets. Or you can generate your next batch of product ad variations in the time it took to read this post. Try AI Studio free → --- # Top Video Optimization Tools for E-Commerce Conversion [2026] URL: https://www.gotolstoy.com/blog/video-optimization-tools Author: Roni Shif | Published: 2026-02-10 Summary: Discover the top video optimization tools for e-commerce in 2026, comparing features, use cases, and why Tolstoy leads AI-powered conversion. Video has become a core layer of the e-commerce experience, not just a content format. Shoppers now expect short-form, product-led videos to appear directly on PDPs, category pages, and landing pages, with the same immediacy they see on social platforms. As brands scale these experiences across hundreds or thousands of products, manual workflows break down quickly. Editing assets one by one, placing videos page by page, and managing distribution across channels creates friction that limits speed and consistency. Video optimization tools address this gap by operationalizing video at scale. They enable teams to generate, deploy, and measure video content across storefronts and channels from a single system, while keeping performance, UX, and conversion goals aligned. Below are the leading video optimization tools in 2026, evaluated based on how effectively they support scalable, conversion-focused e-commerce video experiences. 10 Best Video Optimization Tools for High-Converting E-Commerce Experiences Video optimization tools now play different roles across the e-commerce stack. Some platforms are built to turn video into a direct conversion surface through shoppable and interactive formats, while others support adjacent workflows such as creative generation, UGC sourcing, livestream selling, or social distribution and reporting. The tools below support a range of video needs across e-commerce, including short-form shoppable feeds , product demos , livestream shopping, creator-style content, and social video distribution. Each platform addresses a different part of how commerce teams create, deploy, and manage video across storefronts and channels. 1. Tolstoy Tolstoy is an AI-first commerce platform designed to operationalize video and image content across e-commerce storefronts. It combines AI-driven creative generation with shoppable video execution, enabling brands to deploy conversion-focused video experiences at scale without manual page-by-page work. AI Studio enables brands to generate product images and videos directly from their catalog data. This allows teams to produce visual assets in bulk for PDPs, ads, and landing pages, supporting large catalogs and frequent creative refreshes without relying on repeated photoshoots or complex production workflows. Tolstoy’s AI Player publishes these assets into interactive, shoppable video feeds across websites and other commerce touchpoints. Brands can syndicate UGC, product videos, and AI-generated visuals into a unified experience that supports product discovery and direct add-to-cart actions while maintaining site performance. The platform also includes AI Sales Agent , an AI-powered onsite shopping assistant that can guide shoppers through product discovery, virtual try-on, and sizing assistance. AI Sales Agent can be accessed alongside Tolstoy’s video experiences, allowing shoppers to ask questions, explore options, and move toward checkout without leaving the browsing journey. Together, these components position Tolstoy as an end-to-end AI commerce platform that connects creative generation, shoppable video execution, and guided shopping into a single system built for scalable e-commerce conversion. 2. Firework Firework is a video commerce platform focused on sourcing and activating social video content for onsite shopping experiences. It aggregates UGC, influencer, and brand-owned videos from social platforms and publishes them into shoppable formats across e-commerce storefronts with built-in workflows for requesting and managing creator permissions. The platform supports interactive video formats such as shoppable stories, video showrooms, and 1:1 video chat, making it suitable for brands that rely heavily on social-first content to support product discovery and assisted shopping on their websites. 3. Videowise Videowise is an AI-powered video commerce platform designed to support both onsite shoppable video and livestream selling. It enables brands to deploy interactive video experiences across websites while also extending shoppable formats to social platforms such as TikTok, Instagram, and Facebook. A key component of Videowise is its AI Media Library, which centralizes video assets, UGC, and creator content for reuse across channels. The platform also supports image-to-video generation, UGC rights management, and influencer collaboration, making it relevant for e-commerce teams that operate across multiple video-driven sales channels. 4. Bambuser Bambuser is a video commerce solution built around live shopping and real-time interaction. The platform supports livestream selling, shoppable video, video consultations, and live chat, allowing brands to combine product storytelling with direct customer engagement. Bambuser also enables teams to repurpose social content, live shows, and campaign assets into shoppable video formats. It is commonly used by brands that treat live video as a core part of their e-commerce strategy and require tools that support real-time selling and assisted conversion. 5. Quinn Quinn is a lightweight shoppable video tool designed for fast deployment on e-commerce storefronts. It focuses on converting existing video assets into interactive shopping experiences with minimal setup. The platform supports clickable product cards and add-to-cart overlays, allowing brands to reuse TikTok and Instagram-style content directly on their websites. Quinn is well-suited for DTC teams that want a simple way to introduce shoppable video without complex production or operational workflows. 6. Sprout Social Sprout Social is not a native e-commerce video optimization platform, but it plays a supporting role in video distribution and performance analysis across social channels. It enables teams to publish, manage, and measure video content used in shoppable social campaigns. For e-commerce brands, Sprout Social functions best alongside onsite video tools, acting as the reporting and distribution layer for offsite video performance. It is commonly used by teams that need centralized visibility into how video content performs across paid and organic social channels. 7. Emplifi Emplifi combines social commerce, UGC management, and customer experience analytics into a single platform. Its video capabilities focus on collecting, moderating, and deploying social video content into e-commerce environments. Brands with a strong reliance on reviews and UGC often use Emplifi to surface authentic video content alongside product pages, helping reinforce trust and support purchase decisions through social proof. 8. Vimeo Enterprise Video Vimeo Enterprise Video is an enterprise-grade video platform focused on interactive video creation and workflow management. It supports features such as branded video players, live Q&A;, polls, and collaboration tools for large teams. The platform emphasizes security and governance, offering SSO, advanced admin controls, and compliance features. It is typically used by organizations that require structured video operations rather than commerce-native shoppable video execution. 9. Wistia Wistia is a video marketing and hosting platform designed for content management, webinars, and brand-controlled video experiences. It supports AI-assisted recording and editing, along with detailed organization through folders, tags, and filters. The platform is commonly used by marketing teams to host product videos, educational content, and webinars that integrate with broader marketing and analytics stacks. Its strength lies in video management and presentation rather than direct e-commerce conversion features. 10. Vidyard Vidyard focuses on personalized video communication and sales enablement. The platform supports AI-generated videos and avatars, allowing teams to create customized video messages at scale. It also provides centralized video management and integrates with tools such as LinkedIn, Salesloft, and Outreach, making it relevant for e-commerce brands that rely on personalized video in sales, customer engagement, or account-based workflows rather than onsite shoppable video experiences. Video Optimization Tools Comparison Overview The following comparison highlights how leading video optimization tools differ in their focus, commerce capabilities, and ideal use cases. While all platforms support video-driven engagement, they vary significantly in how they handle shoppable experiences, creative production, distribution, and performance measurement. This overview helps e-commerce teams quickly assess which tools align best with their conversion goals and operational needs. Tool Primary Optimization Focus Commerce Capabilities Best For Tolstoy AI-powered video optimization, creative generation, and conversion optimization. Shoppable videos, in-video add-to-cart, virtual try-on, and AI Sales Agent for guided product discovery with seamless handoff to Shopify checkout. Businesses that are looking for a complete video commerce solution with AI-powered video generation features. Firework Bringing video shopping experience to websites, sourcing videos from various platforms. Shoppable videos, 1:1 video chat, video showroom. Brands that are seeking to leverage UGC and influencer content for shoppable video experiences. Videowise AI-driven video tools to create shoppable videos and manage UGC. Live shopping, shoppable video integration on platforms like TikTok, Instagram, and Facebook. E-commerce brands focused on live shopping and cross-platform video commerce. Bambuser Versatile video commerce solution with live shopping and video consultation. Shoppable videos, live video player integration, live shopping. Companies that need a comprehensive video commerce solution with live interaction features. Quinn Simple tool for creating shoppable videos from existing content. Add-to-cart widgets, clickable product cards, and integration with TikTok and Instagram. Brands that are looking for an easy way to turn social media content into shoppable video experiences. Sprout Social Social media management and AI-powered campaign tools. Publishing, engagement, analytics, social listening, reporting. Social media managers and businesses who are looking to optimize their video campaigns on social platforms. Emplifi Unified social media management with AI tools for content discovery and posting frequency. UGC, social commerce displays, moderation, and shoppable content. Teams that need to manage all their social media channels and influencer collaborations in one place. Vimeo Enterprise Video AI-powered interactive video creation and workflow management. Branded players, live Q&A;, polls, enterprise-grade security. Enterprises that require advanced video management with high collaboration and security needs. Wistia Video marketing, hosting, and editing with AI tools for customization. Webinar hosting, AI-powered video editing, and video library management. Marketers looking for a professional video marketing and hosting platform with customization options. Vidyard Personalized video creation with AI Avatars and video messaging. Personalized video messages, AI-powered content, platform integration. Businesses that aim to create personalized video experiences and engage customers on multiple platforms. What Video Optimization Tools Actually Do for E-Commerce Brands AI-powered video optimization tools now go far beyond basic video hosting. They enable brands to create, edit, and deploy video and image content at scale for websites, ads, and social platforms. Depending on the platform, these tools can generate shoppable videos, automate content production, manage UGC, or deliver interactive livestream experiences - all without heavy manual effort. Improve Video Load Speed Without Hurting UX: Many platforms use AI video compression and adaptive playback to deliver fast-loading assets without compromising visual quality. Websites and ads remain engaging while minimizing bounce rates. Increase Engagement With Interactive Video Formats: Platforms enable clickable CTAs, product links, and polls directly inside videos. Customers can explore products, view variations, and add items to carts without leaving the video, increasing engagement and conversion. Optimize Product Discovery and Onsite Conversion: AI-generated videos and images can turn static catalog content into dynamic, shoppable formats. Integrating social-style feeds onsite or in ads helps customers discover products in ways that feel native to their browsing or scrolling behavior. Scale Creative Production Across Large Catalogs: For brands with large catalogs, AI workflows streamline the production of hundreds or thousands of visuals and videos from product data. Bulk creation reduces time and effort while maintaining visual consistency. Support Distribution Across Social and Storefront Channels: Video and image assets can be automatically published across storefronts, social media, and ad campaigns. AI-driven automations maintain consistent branding and performance across every channel. Key Features That Matter Most in Video Optimization Tools While the best video optimization tools offer shoppable videos, automated video production, and distribution, users should also look for personalization and analytics. The innovative features allow store owners to remain competitive in the market and offer a guided shopping experience to customers. Key Feature Description Shoppable Video and Interactive Commerce Layers Adding clickable product links, pricing, and CTAs inside videos turns passive viewers into active buyers. This reduces friction in the shopping journey, increases conversions, and makes each video a direct revenue driver. AI-Generated Video and Product Visual Workflows Automating video and image creation from product catalogs or existing content saves teams hours of manual work. It ensures visual consistency, supports large seasonal campaigns, and keeps website and ad content fresh, boosting engagement and performance. Automatic Video Distribution Across Site Pages Tools that push videos and AI-generated visuals across product pages, landing pages, social feeds, and ads ensure content reaches customers wherever they engage. This consistency amplifies brand presence and prevents bottlenecks in content operations. Performance Optimization With No Impact on Site Speed Fast-loading, high-quality visuals prevent slow experiences that drive visitors away. Optimized playback across devices and platforms keeps shoppers engaged, reduces bounce rates, and ensures conversion opportunities aren’t lost. Personalization and Guided Shopping Experiences AI-driven customization adapts visuals and interactive experiences based on browsing behavior, preferences, or purchase intent. This creates a guided shopping journey, improving engagement, confidence, and the likelihood of purchase. Analytics Across Video, Widget, Page, and Product Levels Tracking performance from individual videos and images to product pages and ad campaigns helps teams identify what drives clicks, interactions, and revenue. Data-driven insights allow content strategies to evolve quickly and prioritize high-impact visuals. Native Integrations With Shopify and E-Commerce Stacks Seamless integration with platforms like Shopify or WooCommerce embeds AI-generated content and shoppable experiences directly into storefronts. This reduces reliance on developers, accelerates campaigns, and allows marketing teams to act independently. Why Tolstoy Leads the Next Generation of Video Optimization Tools Tolstoy combines AI video and image creation with shoppable experiences, giving brands an end-to-end solution for content, discovery, and conversion. Its tools are built to scale visuals and video across websites, ads, and social channels, while keeping production fast and efficient. AI Player powers high-performance, shoppable video feeds that bring a familiar, social-style browsing experience directly onto the storefront. By combining swipeable video layouts with in-video add-to-cart actions, it turns product discovery into an interactive conversion surface - all while maintaining fast load times and preserving site performance at scale. AI Studio for catalog-scale video and image creation generates hundreds or thousands of high-quality product videos and images from your catalog, streamlining bulk creative production and supporting seasonal updates or large-scale campaigns. AI Sales Agent for personalized discovery inside video journeys guides customers through tailored product experiences with virtual try-on, sizing assistance , and curated video recommendations, reducing friction at checkout and helping minimize returns. Smart Video Distribution across millions of product pages automatically publishes shoppable videos and AI-generated content across your website, ensuring consistent, high-quality visual experiences without manual effort. Advanced Customization with no-code Shopify integration gives brands full control over video widgets, product pages, and interactive features without coding, making it easier to adapt the onsite experience to your store’s unique design and merchandising needs. Conversion Analytics built for e-commerce optimization tracks performance across videos, images, and product pages, highlighting which content drives clicks, engagement, and purchases, and enabling data-driven optimization for every campaign. Tolstoy merges content creation, distribution, and conversion into a single platform, giving brands the ability to scale AI-generated video and image experiences across websites, ads, and social channels with measurable impact. Conclusion Video optimization tools are changing how e-commerce brands use visual content, making it easier to scale videos and AI-generated images across websites, ads, and social channels. Advanced platforms turn content into interactive, shoppable experiences that guide customers from discovery to purchase, while AI-powered workflows speed up creative production, enable personalization, and keep visuals fast-loading and high-quality. Platforms like Tolstoy show how these capabilities come together in practice, combining AI-generated visuals with shoppable video feeds and guided discovery experiences. For e-commerce teams, investing in video and image optimization tools is now about more than efficiency. It’s about creating social-style, engaging experiences that meet 2026 shoppers’ expectations and drive measurable impact on engagement and conversions. --- # 8 Best Social Commerce Platforms & Tools for 2026 URL: https://www.gotolstoy.com/blog/social-commerce-tools Author: Roni Shif | Published: 2026-01-29 Summary: Compare the 8 best social commerce platforms and tools for 2026, with features, pricing, and tips to turn social discovery into on-site conversions. Retail shopping journeys don’t happen in one place anymore. Many buyers discover products on Instagram, TikTok, and Shop - then switch to a brand’s website when they’re ready to compare, validate, and purchase. This guide breaks down eight social commerce tools that help brands close that gap, whether you’re selling directly inside social platforms or bringing a social-style shopping experience to your storefront. 8 Best Social Commerce Tools for E-Commerce Brands Whether you’re juggling commerce across social platforms or trying to recreate that scroll-and-shop experience on your own site, these eight tools cover the most common conversion challenges - from shoppable video to UGC workflows and social selling operations. 1. Tolstoy Tolstoy helps e-commerce brands turn social-style video into shoppable storefront experiences, while also supporting content creation workflows through its AI product suite. With AI Studio , teams can generate product visuals and video variations faster using templates and chat-based creation, including bulk workflows designed for catalogs. Those AI-generated assets can then be published directly into Tolstoy’s shoppable video formats and paired with AI Sales Agent experiences, creating a closed loop between content creation, discovery, and conversion. On the onsite experience side, Tolstoy’s AI Player brings a social-style, swipeable video feed directly onto e-commerce sites, without impacting site speed. These shoppable video widgets are automatically distributed across product pages and collections, helping brands reduce friction between discovery and checkout while maintaining performance at scale. 2. Firework Firework can help you distribute content across social media platforms like TikTok and Instagram. This tool allows you to turn your entire product catalog into high-quality videos from static images. This sort of bulk generating is best for stores with large catalogs and frequent seasonal drops. You can also add shoppable experiences to social media platforms with Firework. 3. Videowise Videowise is an all-in-one video commerce platform known for automating UGC discovery and the bulk creation of shoppable content. With Videowise, you can create live video events across social media, mobile apps, and websites. This tool also lets you sell simultaneously by broadcasting live streams. You can easily discover UGC videos on Instagram and TikTok and request their usage rights. Videowise lets users add shoppable videos in the Shop App and Tapcart as well. 4. Bambuser Bambuser offers a video commerce solution for all roles, from developers to marketing teams to small-scale entrepreneurs. It’s an excellent tool for creating shoppable videos with the option to live-broadcast on the website, apps, and social channels. Bambuser is not just limited to fashion and beauty; it enables video commerce for diverse industries, including electronics, homeware, and retail. 5. Quinn Quinn is a simple tool that lets you turn product videos into shoppable content, with its clean UX and seamless video playback. You can add a direct add-to-cart widget and clickable product cards to your videos. The platform offers fast load times and easy setup, making it ideal for teams with little to no coding experience. It also transforms existing TikTok and Instagram video content into shoppable experiences on Shopify stores with 1-click import, customizable templates, advanced analytics, and hyper-fast delivery. 6. Emplifi Emplifi is not just a social commerce tool; it has all you need for your social media management. Emplifi’s AI-powered visual search lets you automate product tagging and simplify your UGC content distribution. You can also collect and display high-quality product reviews, Q&As;, checkout comments, and seller ratings to boost your credibility and bring sales. Emplifi has great tools for discovering influencers and collaborating with them effortlessly. 7. Sprout Social Sprout Social is the tool you need to manage all your social platforms under one dashboard. It enables users to plan and schedule content while leveraging AI to engage customers in your brand’s voice. This tool has industry-leading AI-powered influencer marketing tools that help you find creators by topic, verify if they align with your brand, and manage and measure campaigns with ease. 8. Instagram Shopping Instagram Shopping lets businesses tag products in posts and videos so their profile can function like a storefront. Shoppers can explore product details in-app and, depending on region and setup, either check out within Instagram or continue to the merchant’s website to complete the purchase. Social Commerce Tools Comparison Table This table offers a side-by-side view of the leading social commerce tools covered in this guide, highlighting what each platform is actually built to do. It’s designed to help you quickly compare core commerce capabilities, content workflows, and ideal use cases, so you can narrow down options before diving deeper into demos or trials: Tool Primary Social Commerce Capability Content & Commerce Capabilities Best For Tolstoy AI-powered video creation, shoppable videos, integration with Shopify, TikTok Shop , and Shop Create scroll-stopping ads, turn static images into videos, create on-model images, and generate content in bulk Brands looking to scale shoppable video across their storefront, improve onsite conversion, and operationalize AI-powered product visuals Firework Bulk generation of high-quality videos from static images, shoppable content on social platforms Bulk generation of videos from static images Stores with large catalogs and frequent seasonal drops Videowise UGC discovery and bulk creation of shoppable content, live video events, and social media broadcasting Live event video creation, bulk UGC discovery, shoppable video integration Social media video commerce and UGC content creators Bambuser Shoppable videos, live broadcasts, support diverse industries (electronics, homeware, retail) Live video creation, diverse industry support, and shoppable content integration Small-scale entrepreneurs in diverse industries Quinn Turns product videos into shoppable content, an add-to-cart widget, and clickable product cards Clean UX for product videos, add-to-cart widgets, seamless video playback Teams with little to no coding experience Emplifi AI-powered visual search, product tagging, UGC content distribution, influencer collaboration Visual search, automate product tagging, influencer discovery, and collaboration Social media managers and influencers Sprout Social Social media management, AI-powered content scheduling, engagement, influencer marketing AI-powered scheduling, influencer marketing tools Social media marketing teams and brands seeking influencer campaign management Instagram Shopping Shoppable content from Instagram posts and videos, in-app checkout Shoppable Instagram posts and videos Businesses wanting to turn Instagram into a digital storefront Essential Features to Look for in Social Commerce Tools Social commerce tools can take many forms, with diverse features. While social media engagement and shoppable content are necessary, some tools offer more than that. The best choice depends on where your buyers convert, and whether your biggest bottleneck is content production, product discovery, or onsite conversion. Here are the key capabilities to prioritize: Shoppable Video Feeds and Interactive Media: If you want to add a shoppable content experience across all social platforms with ease, look for tools like Tolstoy that let you turn your videos into shoppable content . Such tools may include automatic product tagging and the generation of shoppable content on a scale that you can deploy across multiple platforms. AI-Powered Product Discovery and Recommendations: Some tools leverage AI to help customers with product discovery and deliver personalized recommendations. Tolstoy, being one of those, lets you add an AI-powered shopping assistant to your Shopify and other stores, where customers can discover products and get recommendations based on their input through conversations. Native E-Commerce Platform Integrations: Prioritize tools that plug into the systems you already run - your e-commerce platform, product catalog, analytics stack, and support tools. If a platform can’t connect cleanly, you’ll end up rebuilding workflows (and losing speed) just to make the tool usable. Zero-Party Data Collection and Shopper Insights: Strong social commerce tools don’t just drive clicks; they help capture high-intent shopper signals that customers share willingly (like preferences, style goals, and fit needs). For example, Tolstoy’s AI Sales Agent is positioned around guided product discovery and sizing-style experiences so recommendations can feel more personal without forcing a rigid quiz flow. Built-In Analytics for Conversion and Engagement: Tools like Sprout Social, Tolstoy, and Videowise come with detailed analytics that track engagement and conversion across video, widget, page, and product levels, and can give you an idea of their impact on your conversion and engagement. Their analytics and reporting functionality are better than those of native platforms like TikTok and Instagram. How to Choose the Right Social Commerce Tool for Your Brand The tools in this list fall into three practical buckets. Social management suites (like Sprout Social and Emplifi) help plan, publish, and optimize social programs that influence conversion . Onsite experience platforms (like Tolstoy and other shoppable video tools) recreate social-style discovery on your storefront. And native social features (like Instagram Shopping) let you merchandise directly inside the platform. Use the criteria below to match the tool to where your shoppers discover products, where they convert, and how much operational complexity your team can support: Criteria Description Identify Where Your Shoppers Discover Products Find out where you encounter most customers, such as social media platforms or your website. Decide Purpose:Platform-Native vs Onsite Social Commerce Native tools operate within social apps (e.g., Instagram Shopping), while onsite tools (e.g., Tolstoy) bring social experiences to your e-commerce store. Choose based on whether you want the social experience within the social platform or your online store. Evaluate AI Capabilities for Scale and Personalization Consider having AI functionalities, such as personalized product recommendations, automatic tagging, and scalability. Assess Ease of Setup and Content Distribution Look for tools that offer easy setup and content distribution capabilities, such as no-code installation, one-click content distribution, and AI-powered content creation. Match the Tool to Your Catalog Size and Growth Goals If you have a large product catalog, select a tool that supports bulk content creation and can scale with your business. Why Tolstoy Leads the Next Generation of Social Commerce Tools Several platforms here help brands distribute shoppable video and monetize UGC, but Tolstoy stands out by pairing onsite shoppable video with a dedicated AI creation layer ( AI Studio ) aimed at speeding up catalog-scale creative production. That combination can help teams that struggle with both sides of the problem: creating enough content and turning that content into onsite conversion. Interactive Shoppable Video Feeds (AI Player) that Mimic Social Platforms: Tolstoy’s AI Player is designed to bring a social-style video feed to e-commerce sites, with formats like shoppable stories and video galleries that support product discovery and purchase flows. AI Sales Agent for Conversational Guidance to Distribute Content Features: Tolstoy’s AI Sales Agent is positioned as an always-on shopping assistant that guides discovery through a chat-style experience, with features like product Q&A;, recommendations, and “virtual try-on”-style flows (e.g., sizing and “complete the look” guidance). AI Studio for Automating High-Quality Creative and Product Visuals: Tolstoy’s AI Studio is positioned as a creative production layer for e-commerce teams, helping generate new product visuals and video variations through chat-based workflows, templates , and catalog-scale creation. It’s framed around producing more “ready-to-run” creative without relying on constant photoshoots, which can be useful when you need volume for ads, PDPs, and social placements. Zero-Setup Integration with Shopify and Automated Page Distribution: Tolstoy is integration-ready with Shopify, requiring no coding or complex setup. It offers a seamless Shopify/CSV-integrated workflow that auto-pulls product images/data for bulk creation (up to 50 products), triggers automations on new additions, and direct publishing to Shopify media galleries or social channels without manual uploads. To turn product content into social-ready shoppable creative, book a free AI Studio demo . Conclusion Social commerce is no longer just “selling on social” - it’s about reducing friction between discovery and purchase, wherever that journey starts. Some tools help brands run and optimize social programs, while others bring the scroll-and-shop experience onto the storefront to lift onsite conversion. For teams that need both more content velocity and a more interactive onsite shopping experience, Tolstoy combines shoppable video formats with an AI creation suite, making it a strong option for brands trying to scale creative and conversion together. --- # AI Concierge in E-Commerce: From Assistance to Conversion URL: https://www.gotolstoy.com/blog/ai-concierge Author: Gal Aharoni | Published: 2026-01-23 Summary: Learn how AI concierge tools guide shoppers, personalize journeys, and boost conversions, plus how brands measure ROI and choose the right platform. What Is an AI Concierge? An AI concierge is like a human concierge we see in stores, but a virtual assistant powered by artificial intelligence . These AI assistants are designed to engage in conversations and provide a more personalized shopping experience. Even though similar, an AI concierge is not a regular chatbot; it can analyze the intent of customers and respond with relevant answers. It can infer intent and respond with relevant guidance, and many platforms improve performance over time through tuning, analytics, and feedback loops. AI concierges are typically used to automate customer inquiries, order tracking and returns, personalized product recommendations, upselling and cross-selling, and more. Why AI Concierge Matters for E-Commerce Brands AI concierges can help meet rising customer expectations in the competitive e-commerce space. These solutions help your customers make purchase decisions faster while automating various sales and support funnels. Faster Buying Decisions AI concierges can evaluate a customer’s shopping journey and recommend the next steps based on their intent. Let’s say a shopper needs to select a dress from several options. An AI concierge can prompt a shopper to check reviews, compare options, offer virtual try-on, or pull up sizing guidance to help them decide. Rising Shopper Expectations The age of AI brings new expectations as well. Shoppers now demand faster, personalized experiences rather than robotic chatbots or slow human support that takes more time. AI concierges fill the gap by offering faster yet personalized support that feels more helpful to shoppers. For example, a customer can browse a product page and take instant help from an AI concierge to find more about the product and explore additional options. Scale Without Increasing Support Costs While human agents are capable of attending to a specific number of customers, AI concierges can handle much more. Such AI systems are scalable and can interact with multiple people at the same time. You do not have to increase your staff or add an additional system to handle more visitors. Revenue Impact Across Funnels AI concierge’s use is not limited to answering questions; it can be integrated into various stages of your sales funnel . With the help of an AI concierge, you can generate leads, provide post-purchase support, and automatically upsell/cross-sell products . How AI Concierge Works AI concierges can understand a shopper’s intent, and they are context-aware. This helps them recommend highly relevant products and provide purchase guidance to the customers. This kind of an AI-powered tool is not rule-based but dynamic, which learns from its interactions. Shopper Intent Recognition: AI concierges infer what a shopper is trying to accomplish based on the pages they visit, the questions they ask, and the options they interact with. If someone is browsing summerwear, the concierge can proactively surface the most relevant items, suggest sizing guidance , and highlight current promos that match the shopper’s goal, without making them dig. Context-Aware Guidance: AI concierges can understand the context and combine it with a customer’s intent. For example, if someone has bought a fitness tracker, the AI may suggest workout apparel to them when they visit again. In more advanced setups, the AI can also enable virtual try-on experiences, letting shoppers see how a dress fits or how makeup shades look on them using photos or device-based scanning, helping reduce uncertainty before purchase. Product Matching Logic: AI concierges can analyze a shopper’s past behavior, demographic data, specific preferences, and various product attributes, such as size, color, brand, and features. By analyzing these attributes, it can match products according to a customer’s preferences. If a shopper says, “I need a biodegradable phone case under $100,” an AI concierge can translate that into filters (material, price, phone model compatibility, style) and return a short, high-intent set of matches, so the shopper reviews a handful of good options instead of scrolling a catalog. Real-Time Actions: AI concierges can take actions in real time based on customers’ interactions and intent. Depending on the platform and integrations, AI concierges can trigger next-best actions, like directing shoppers to checkout, surfacing promos, or routing support requests, based on intent and behavior. Learning From Interactions: AI concierges use machine learning to learn from every interaction and start identifying patterns. The more it interacts with customers, the better it becomes at understanding their preferences, behaviors, and pain points. AI Concierge Use Cases for Customers AI concierges help both sellers and customers in many ways. It allows customers to find the right products and make decisions, while also helping sellers reduce cart abandonment and increase sales through personalized product recommendations, upselling, and cross-selling. Guided Product Discovery Customers don’t have to browse hundreds of products or look up their details to find the right one. They can take help from an AI concierge integrated into the website’s products, which can narrow down choices by learning customers’ preferences. A customer may share their budget range, style preferences, use case (work, gym, gifting, travel), and size/fit concerns to find the best product. In some cases, this guidance extends to virtual try-on, where shoppers can preview how products like foundation shades or apparel might look on them by scanning their face or uploading a photo, making product selection faster and more confident. Video-Based Buying Assistance Images and written copy aren’t enough for some products. Often, products like smart gadgets or apparel can be better displayed in videos. AI concierges can do more than just converse; they can show video product demos, unboxing clips, how-to videos, etc., to help shoppers make the best purchase decision. For example, if a customer asks, “How does this vacuum work on carpets?”, the AI concierge responds with a demo video. Abandoned Cart Recovery AI concierges can reduce drop-offs by stepping in when shoppers hesitate, answering last-mile questions (shipping timelines, returns, warranty), resolving objections (fit, compatibility, price), and recommending close alternatives when an item feels like the wrong choice. Depending on the platform’s integrations, recovery can happen via on-site prompts, persistent assistance during the session, or coordinated follow-ups through email/SMS. Upsell and Cross-Sell Experiences AI concierges can suggest add-ons that make sense in context, based on what’s in the cart, what typically pairs well, and what the shopper is trying to do. If someone adds a laptop, the concierge can recommend a compatible sleeve, a mouse, or an extended warranty plan - framed as “helpful bundles,” not random extras. Support Deflection An AI concierge can handle repetitive and complex questions with personalized responses that aren’t robotic or predefined. They respond in real time, reducing the frustration of waiting. Some implementations can surface order details, answer policy questions, and route change requests (like address updates) to the right workflow or agent, depending on system permissions and integrations. AI Concierge Personalization Capabilities AI concierge systems can analyze customer behavior and content, and share personalized insights in real time. At the same time, it can collect zero-party data from shoppers, helping sellers create customized, relevant marketing campaigns. Behavior-Based Recommendations AI concierges can learn from browsing history, clicks, previous purchases, and time spent on specific product pages. Based on these behavioral actions, they offer customized recommendations by predicting what shoppers may buy next. For example, if a customer frequently browses winter coats, the AI may start suggesting scarves, gloves, and boots to pair with a coat. Zero-Party Data Collection AI concierges collect zero-party data by asking shoppers simple, value-driven questions, such as preferred fit, budget range, color/material preferences, or use case. Because the shopper is volunteering the info intentionally, the concierge can use it immediately to narrow options and later to personalize recommendations and messaging in a way that feels helpful rather than invasive. Context-Aware Messaging Beyond “what the shopper clicked,” AI concierges can adapt based on session context, such as browsing stage, device, and engagement signals. In some implementations, additional inputs (such as location) may also shape responses. For example, if a shopper repeatedly filters by price or compares lower-cost options, the concierge can emphasize value, like free shipping thresholds, bundles, or best-selling budget picks, without sounding pushy. Real-Time Personalization AI concierges adjust guidance as the session evolves. If a shopper is stuck between two products, the concierge can surface the most decision-helpful info (differences, reviews, sizing/fit guidance, compatibility checks). If the shopper moves toward checkout, the concierge can shift to friction removal - shipping clarity, return reassurance, or the fastest path to completing the purchase. Measuring AI Concierge Performance and ROI By tracking and measuring conversion rate, assisted conversions, funnel drop-off reduction, and other key metrics, companies can evaluate an AI concierge’s impact in their business growth. Here are the most important metrics to measure: Conversion Rate and AOV Lift: Since this AI system guides customers through their shopping journey, it increases the likelihood of frictionless checkout and increased order value. Brands should measure conversion rate and AOV (average order value) to understand AI’s effectiveness. Engagement and Completion Rates: AI concierges can engage customers and provide suggestions and guidance, helping them make a successful purchase. High engagement and completion rates indicate good performance. Funnel Drop-Off Reduction: AI concierges reduce drop-offs by handling objections in the moment - clarifying uncertainty, guiding comparisons, and removing checkout friction. When you see fewer exits from PDP → cart → checkout (and fewer “stall points”), that’s a strong signal the concierge is improving funnel flow. Attribution to Revenue and Assisted Conversions: Brands should also focus on measuring overall revenue and assisted conversions, as not all sales are generated immediately. Assisted conversions typically indicate the AI’s effectiveness, as it focuses heavily on helping customers finalize a purchase. Choosing the Right AI Concierge Platform AI concierges help businesses address various bottlenecks in their support systems and sales funnels. You can automate various tasks to increase your conversions and revenue. Here are a few things to follow to select the ideal platform: Ease of Setup: Look for a system that integrates with your current e-commerce infrastructure. Preferably, a solution that doesn't require coding or too much technical expertise to set up. Commerce Integrations: The AI concierge should be able to access your product catalog, CRM system, payment gateways, and other e-commerce tools to accurately recommend products and complete various order-related tasks. Personalization Controls: The platform should provide controls to fine-tune personalization and improve its accuracy and effectiveness. Analytics and Reporting: To measure impact, the platform should make it easy to track engagement and conversion signals tied to concierge interactions, such as interaction rate, assisted conversions, conversion lift, cart-to-checkout progression, and upsell/cross-sell attachment. Without clear reporting, it’s hard to prove value or improve performance over time. Scalability for Growth: You must go for a platform that can scale as your business grows. It should be able to handle increased traffic, a large number of product SKUs, and simultaneous customer interactions. How Tolstoy Powers Revenue-Driven AI Concierge Experiences Tolstoy’s AI concierge-style experience is built around AI Sales Agent - an on-site sales assistant - paired with interactive , shoppable video as a commerce interface. Together, they help shoppers discover products, ask questions, and move toward purchase without breaking their browsing flow. AI Concierge-Like Assistance with AI Sales Agent (On-Site Sales Chat + Guidance): Tolstoy’s AI Sales Agent acts like an on-site sales assistant that can guide shoppers to the right products and help answer questions while they browse. It is a specialized AI sales agent that combines conversational chat with advanced commerce features like virtual try-on, measurement-based size recommendations, and personalized product discovery to reduce hesitation and increase purchase confidence. Shoppable, Interactive Video as the “Front Door” to Concierge Help: Tolstoy’s AI Player lets brands publish shoppable video widgets that shoppers can interact with, helping turn browsing into guided discovery, and creating more opportunities to ask, answer, and convert. Shopify store owners can directly add videos from their social media and turn them into shoppable content by embedding the related products. Smart Distribution So Concierge Experiences Show Up on the Right Pages: Tolstoy highlights an automatic distribution approach, using tagging to match videos to relevant pages at scale, so shoppers see the most relevant content while they browse, instead of generic widgets everywhere. Conversion Measurement Through Built-In Analytics: Tolstoy emphasizes analytics that track performance at multiple levels. For example, engagement/conversion signals tied to widgets/pages/products, which support optimizing concierge-led experiences over time. AI Studio for Creating Product Visuals That Feed the Experience: Tolstoy’s AI Studio is positioned for generating product visuals (images/video) via multiple AI engines inside the Tolstoy workflow, supporting a faster creative pipeline to keep on-site experiences fresh. Integrations with E-commerce Platforms: Tolstoy supports e-commerce integrations , including Shopify, and also connects with adjacent tools like Tapcart and Gorgias for broader shopping experiences and workflows. Conclusion AI concierges are increasingly becoming a practical layer in e-commerce, helping shoppers discover products faster, resolve uncertainty during checkout, and get support without waiting. As shopping journeys become more fragmented across ads, search, and on-site experiences, concierge-style guidance can reduce friction and improve conversion by meeting shoppers with the right help at the moment they’re deciding. --- # 10 Best AI Chatbots for Ecommerce Brands in 2026 URL: https://www.gotolstoy.com/blog/ai-chatbots-for-ecommerce Author: Gal Aharoni | Published: 2026-01-09 Summary: Compare the 10 best AI chatbots for ecommerce in 2026 — features, pricing, and integrations — to boost conversions, personalize shopping, and automate support. An AI chatbot can meaningfully reduce the load on human support teams, especially for repeat questions like order status, returns, shipping policies, and product basics. But the best ecommerce chatbots in 2026 aren’t just “support bots.” They’re increasingly used as conversion assistants: answering product questions in real time, guiding shoppers to the right items, capturing emails, and helping brands personalize follow-ups. Below are eight strong options worth evaluating in 2026. This page is the broad ecommerce vendor comparison. It compares sales assistants, support agents, helpdesks, and social-message automation by their primary job. For the narrower definition, buying criteria, and conversion-focused examples, see our guide to sales chatbots . 10 Best AI Chatbots for Ecommerce to Drive Sales and Conversions AI chatbots come in different forms. Some are built for ecommerce sales experiences, while others are customer service platforms used across many industries. The tools below can help you converse with shoppers in real time, automate common questions, collect leads, and improve customer experience across key touchpoints. 1. Tolstoy - AI Sales Agent with Virtual Try-On and AI Search Tolstoy’s AI Sales Agent is an AI sales agent designed to chat, answer product questions, recommend items, and drive purchase confidence, built specifically for e-commerce and Shopify brands. It can function like “ChatGPT for your brand,” combining conversational answers with shopping actions. AI Sales Agent also includes AI Search and “Top Questions” on product pages , where it can automatically surface and answer common questions per product (with team editability). For apparel and fit-sensitive categories, Tolstoy’s virtual try-on is a core capability, framed around “See It On You,” “Find Your Size” (measurement-based sizing recommendations), and “Complete the Look” cross-sells to increase AOV. Tolstoy also emphasizes upsells inside chat, including the ability to guide shoppers and let them add to cart without leaving the conversation, as well as “zero setup” training on your catalog and brand rules. 2. Tidio - AI Agent for Support Automation With Actions Tidio offers Lyro AI Agent, designed to automate customer service conversations and deflect repetitive questions. Where it stands out is “Lyro Actions,” which can connect to external services via secure workflows so the AI agent can do more than answer, like retrieving order data or completing certain account-related tasks (depending on your setup). For ecommerce brands that want a unified live chat + helpdesk environment with AI deflection and workflow automation, Tidio is often a practical starting point. 3. Gorgias - Ecommerce Helpdesk AI With Shopify-Aware Actions Gorgias is a customer service help desk built tightly around ecommerce workflows, especially for Shopify stores. It brings support conversations into one place and can use AI to help resolve common requests. A key differentiator is its AI Agent Actions capability for Shopify, which - when configured - can handle tasks like canceling orders, changing shipping addresses, and removing items (with safeguards and handoffs when payment changes are required). 4. Intercom - AI Agent + Helpdesk for Support at Scale Intercom pairs its customer service suite with Fin , its AI Agent designed to resolve customer questions across channels and escalate complex cases appropriately. Intercom is often best for teams that want a mature customer service stack with automation, reporting, and a unified helpdesk experience that can scale across products and regions. 5. Ada - Omnichannel AI Platform for Customer Service Automation Ada is an enterprise-focused platform for building, deploying, and optimizing AI customer service agents across channels. It positions itself as an omnichannel AI customer service platform that supports chat, voice, email, and social experiences through a single system. Ada can be a fit for larger organizations that need governance, workflow control, and ongoing optimization for automation at scale. 6. Drift (Salesloft) - Conversational AI for Revenue and Lead Qualification Drift (now under Salesloft) is best known for buyer conversations and lead qualification, especially for sales-led organizations. It’s typically used to engage site visitors, capture intent, route leads, and create pipelines. While it can be used by ecommerce brands for high-intent conversations, it’s generally more aligned to revenue teams than order-operations support. 7. LivePerson - Conversational AI Platform for Messaging and Voice LivePerson positions its platform around connected conversational experiences across messaging and voice, with an emphasis on personalization and enterprise-scale customer engagement. It’s often considered by enterprises that need orchestration across channels, systems, and large support operations. 8. ManyChat - Chat Automation for Social Commerce ManyChat focuses on chat marketing automations for social platforms, helping brands engage audiences, capture leads, and run automated conversations across channels like Instagram, WhatsApp, TikTok, and Messenger. It’s a strong option when your primary growth motion depends on social DMs, comment automation, and messaging-based conversion flows. 9. Rep.ai - AI Sales Concierge for Conversational Revenue Rep.ai positions itself as a proactive AI sales concierge that focuses on the 'pre-purchase' phase of the funnel. Using a proprietary data engine, it monitors shopper behavior to trigger conversations at high-intent moments, such as when a user lingers on a size chart or an out-of-stock item. Beyond support automation for tracking and returns, Rep.ai excels at product discovery, using natural language to guide shoppers to the right SKU and supporting in-chat 'Add to Cart' actions. It is designed for brands that want a hybrid model where AI handles the bulk of sales assistance but can seamlessly hand off high-value customers to live human agents. 10. Angle - AI Shopping Assistant for Shopify Angle is a specialized AI shopping assistant built natively and exclusively for Shopify stores. It leverages semantic search to turn vague chat queries into precise product discoveries, helping shoppers find exactly what they need even if they don't use exact keywords. Angle’s 'Zero-Config' setup allows it to automatically ingest product catalogs, allowing it to greet customers and answer FAQs within minutes of installation. It emphasizes 'intent-based' shopping, where the bot can recognize when a customer is ready to buy and provide direct add-to-cart assistance to minimize drop-off. AI Chatbots for Ecommerce Comparison Overview Tool Primary Strength Common Deployment Typical Ecommerce Fit Tolstoy AI sales chat + AI search + virtual try-on + product recommendations On-site chat + PDP + feed experiences + mobile app contexts Shopping assistance, conversion, fit/sizing guidance Tidio Support automation + AI actions Website chat/helpdesk Support deflection and workflow automation Gorgias Ecommerce helpdesk + Shopify-aware AI actions Support channels + helpdesk Shopify support + operational requests Intercom AI agent + helpdesk suite Customer service channels Scaled support organizations Ada Omnichannel AI service automation Enterprise CX channels Enterprise service automation Drift Revenue conversations + lead qualification Website Pipeline/lead capture use cases LivePerson Messaging + voice conversational platform Enterprise channels Large-scale conversational CX ManyChat Social DM automation Social messaging Social commerce + lead capture Rep.ai Proactive behavioral triggers + sales concierge On-site chat, product pages, checkout flow Product discovery, upselling, order support, hybrid AI plus human chat Angle Semantic product search for Shopify Shopify store chat, product pages Guided shopping, real-time recommendations, FAQ handling, add-to-cart assistance Essential Features to Look for in AI Chatbots for Ecommerce A Statista report reveals that most consumers use chatbots for things like scheduling appointments, shopping online, product discovery, sizing guidelines, and even return/delivery information. When you’re looking for AI chatbots for ecommerce, make sure the chatbot has the most important features as per your needs. Here are the most important features to look for in AI chatbots for ecommerce: Product Discovery and Personalized Recommendations: The best ecommerce assistants help shoppers find the right items quickly, especially when the shopper describes needs (“blue t-shirts that pair with black jeans”) rather than exact product names. Tolstoy’s AI Sales Agent is explicitly positioned around answering, recommending, and selling in real time. Conversational AI for Pre-Purchase and Post-Purchase Journeys: Chatbots should handle pre-purchase questions (fit, availability, product comparison) and post-purchase questions (order status, returns, address updates). For example, Gorgia's AI Agent Actions can handle Shopify order changes in configured cases, while tools like Tidio can use actions to retrieve or send data via workflows. Integration with Ecommerce and CX Platforms: A chatbot is only as good as the data it can access. Integration with your catalog, inventory, and customer service tools enables accurate answers and reduces “hallucinated” responses. Tolstoy highlights out-of-the-box connections to systems like Shopify and CX/marketing tools. Support for Visual and Interactive Shopping Experiences: In ecommerce, visuals matter. Some platforms support interactive shopping flows (video, quizzes , try-on experiences). Tolstoy emphasizes virtual try-on and sizing recommendations as part of its sales-assistant experience. Context Awareness and First-Party Data Capture: Good assistants retain context (what product is being viewed, what the shopper asked, what they prefer) and progressively build better personalization. Tolstoy positions AI Sales Agent around collecting rich preference data for segmentation and lifecycle marketing when shoppers sign in. Analytics for Conversion, Engagement, and Revenue Impact: You should be able to measure the chatbot’s impact - engagement, assisted conversions, top questions, and where shoppers drop off. Most mature platforms offer analytics, but the depth varies widely by tool and plan. How to Choose the Right AI Chatbot for Your Ecommerce Store Your chatbot should match your business goal and your operational reality. In many cases, the best option isn’t the “smartest” chatbot - it’s the one that integrates cleanly, supports your workflows, and can be safely controlled. Here are a few key things to consider before selecting the right AI chatbots for ecommerce: Consideration Key Points & Insights Define Whether Your Goal is Support, Sales, or both. Decide if your priority is support deflection, conversion assistance, or a combined experience. This choice will narrow your tool category fast. Evaluate On-Site vs. Social vs. Multi-Channel Coverage Determine where your shoppers interact most (website, PDP, mobile app, social DMs), and choose tools optimized for those surfaces. Assess Brand Control, Guardrails, and Knowledge Sources Ensure you can control tone, policies, and “what not to say,” and confirm how the bot learns from your product/brand data versus only FAQs. Ensure Seamless Integration with Your Existing CRM and Support Stack Choose a chatbot that can connect to your catalog, CX tools, and marketing systems so answers stay accurate and workflows stay efficient. Measure Impact on Conversion Rate and Average Order Value Ask vendors how they report assisted revenue, engagement, and journey insights, and validate with a pilot on high-traffic pages. How Tolstoy Powers High-Converting AI Chatbots for Ecommerce Tolstoy’s AI Sales Agent is built around a sales-assistant experience that aims to move shoppers from questions to confident purchases. Here’s how: AI Search That Feels Like “ChatGPT for Your Brand”: Tolstoy’s AI Sales Agent is an always-on chat that can answer questions, recommend products, and sell in real time. It also supports an AI search experience for shoppers who prefer typing what they want rather than navigating menus. Top Questions on PDPs to Reduce Purchase Friction: Tolstoy highlights automatically surfacing top questions per product, generated from product data and editable by the team, so shoppers get fast answers where it matters most: on product pages. Virtual Try-On and Sizing Guidance for Fit Confidence: AI Sales Agent emphasizes realistic virtual try-on and measurement-driven sizing recommendations, plus cross-sell suggestions designed to “complete the look” and lift AOV. Upsells That Don’t Break the Conversation: The AI Sales Agent can guide shoppers to the right products at the right moment and support add-to-cart without forcing shoppers to leave the chat - aimed at smoother upsells and higher AOV. Integrations that Connect Chat to the Stack: Tolstoy integrates natively with platforms like Shopify for catalog and inventory access, Klaviyo for syncing subscribers and shopper insights, Gorgias for support workflows, Attentive for personalized SMS journeys, GA4 for behavior tracking, and Tapcart to bring AI Sales Agent into mobile apps. To see how AI Sales Agent and AI Studio work together for your catalog, book a free AI Studio demo . Conclusion All the tools in this list can improve ecommerce conversations in different ways - some are strongest for customer support automation, others for social commerce, and a few for conversion-focused guided shopping. When choosing an AI chatbot, start by defining whether your primary need is support, sales, or both, and then validate integration depth, brand control, and measurement. If you want a more conversion-oriented experience, Tolstoy’s AI Sales Agent is designed specifically to answer product questions, recommend items, support virtual try-on and sizing guidance, and connect those conversations to the broader ecommerce stack. --- # Sales Chatbots: What They Are + 8 Best Examples (2026) URL: https://www.gotolstoy.com/blog/sales-chatbot Author: Gal Aharoni | Published: 2026-01-07 Summary: What is a sales chatbot? See how ecommerce sales chatbots work, compare the 8 best platforms for 2026, and learn from real examples that lift conversions. AI-powered chatbots were initially introduced to simulate human conversations and provide instant responses. Today, sales chatbots go far beyond basic interaction by actively supporting product discovery, personalization, and conversion. This guide owns the sales-chatbot question: what a sales chatbot is, how it differs from support chat, and which examples are designed to move a shopper or lead toward a purchase. If you need a broader vendor matrix spanning sales, support, helpdesk, and social messaging, use our separate comparison of the best AI chatbots for ecommerce . Modern AI sales chatbots integrate directly with ecommerce systems, analyze product catalogs and shopper behavior, and deliver tailored recommendations based on customer intent. As a result, they help remove friction across the buying journey. Beyond customer support, sales chatbots now address key business bottlenecks by improving lead capture, guiding purchase decisions, and automating revenue-driving actions. In this article, we cover eight sales chatbots that support tasks such as booking meetings, resolving inquiries, cross-selling products, and improving overall conversion performance. 8 Best Sales Chatbots to Boost Conversions Sales chatbots typically communicate with shoppers using natural, human-like language while providing instant assistance. However, the best sales chatbots do much more than respond to questions. The tools featured below extend beyond support by helping businesses identify high-intent shoppers, recommend relevant products, book meetings, and in some cases, take direct actions such as updating or canceling orders. Each platform addresses different stages of the ecommerce funnel, from discovery to conversion. 1. Tolstoy Tolstoy is an AI-powered sales chatbot and interactive commerce platform - built primarily for Shopify brands - designed to help shoppers discover, evaluate, and choose products directly on ecommerce sites. Its AI Sales Agent acts as a conversational, sales-focused assistant that answers customer questions, recommends products, guides sizing and fit decisions, and supports visual product exploration, including virtual try-on for compatible apparel collections. Beyond basic chat functionality, Tolstoy supports guided product discovery through intelligent recommendations, sizing and fit assistance, and visual context that helps shoppers make confident purchase decisions. Its AI Player enables rich, interactive content and shoppable videos that complements conversational shopping, while AI Studio , its AI-powered images and videos generation platform, helps brands generate and scale product content and guided scripts that power smart question flows and recommendations. 2. Intercom Intercom offers an AI agent (Fin) alongside a full customer support and helpdesk platform. It is designed primarily for handling customer inquiries across pre- and post-sale interactions, using AI to resolve common questions while routing more complex issues to human agents. Intercom supports multiple channels, including live chat, email , and messaging apps, and integrates with internal systems to give agents context when stepping in. Its strength lies in scalable support automation, ticket deflection, and structured handoff between AI and human teams rather than direct product-led selling. 3. Drift Drift is a conversational marketing and buyer engagement platform that operates as part of Salesloft’s revenue orchestration suite. It focuses on engaging high-intent website visitors, qualifying buyers, and routing conversations to sales teams in real time. Drift is primarily used in B2B environments, where it helps identify buying intent, personalize website conversations, and move qualified prospects into sales workflows. It is less focused on transactional ecommerce and more on pipeline generation, account-based marketing, and complex sales cycles. 4. HubSpot Chatbot Builder HubSpot’s Chatbot Builder is a no-code tool for creating rule-based and AI-assisted chat experiences within the HubSpot ecosystem. Teams can use it to capture leads, qualify prospects, book meetings, answer common questions, and route conversations to live agents. Because it is natively integrated with HubSpot CRM, inbox, and help desk tools, the chatbot can personalize responses using existing contact data and automatically sync collected information back to the CRM. It is best suited for teams already running sales, marketing, or support workflows on HubSpot. 5. Gorgias Gorgias is an ecommerce-focused support platform with AI-assisted responses and deep integrations into platforms like Shopify and Magento. Its AI features help automate replies, suggest responses, and surface order context during conversations. With the appropriate permissions and configuration, Gorgias allows agents to take direct actions from chat, such as updating shipping details, managing returns, canceling orders, or handling subscriptions. While primarily a support tool, it also supports pre-purchase questions and sales-assist scenarios tied closely to order and product data. 6. Tidio Tidio combines live chat, a helpdesk, and its AI agent (Lyro) to help small and mid-sized businesses automate customer conversations. Lyro is designed to handle frequently asked questions and routine inquiries using knowledge-based responses, while human agents can step in as needed. Tidio supports multichannel messaging and is commonly used by smaller ecommerce stores looking for affordable, easy-to-deploy chat automation that improves first-response coverage rather than fully replacing human interaction. 7. ManyChat ManyChat is a conversational marketing platform focused on social and messaging channels such as Instagram, WhatsApp, Facebook Messenger, and TikTok. It enables brands to automate replies to comments, DMs, and messages, and to move conversations into structured chat flows. ManyChat is widely used by social-commerce and creator-led brands to nurture leads, promote products, and drive sales directly within messaging apps. Its core strength is turning social engagement into one-to-one conversations and conversion opportunities. 8. LiveChat AI LiveChat AI is an independent, no-code AI chatbot platform designed to automate website conversations by leveraging your own data sources. It allows teams to create AI chatbots for lead capture, customer inquiries, and booking workflows without technical setup. LiveChatAI integrates with tools such as Calendly and CRM systems, supports workflow automation, and provides analytics to monitor performance and resolution rates. It is best suited for teams looking for a lightweight, AI-first chatbot without replacing an existing live chat stack. Sales Chatbot Comparison Overview Although these AI sales chatbots share some overlapping capabilities, each is built to serve distinct use cases and business needs. Some focus on guided product discovery, while others prioritize customer support automation, lead qualification, or social commerce . The comparison below highlights how each tool differs in AI functionality, ecommerce integrations, and ideal use cases, helping you evaluate which solution best aligns with your growth goals: Tool AI Capabilities E-Commerce Integrations Best For Tolstoy AI-powered personal shopper, guided product discovery, contextual recommendations, sizing & fit assistance, virtual try-on for supported apparel, interactive content support via AI Player, and scalable content generation via AI Studio. Shopify, Wix, Klaviyo, Gorgias, HubSpot, Zapier, and more. E-commerce brands that are prioritizing videos, virtual try-on, and personalized shopping experiences. Intercom AI-powered helpdesk, real-time response, escalations, omnichannel support (live chat, email, WhatsApp). WhatsApp, Google Analytics, Instagram, Salesforce, HubSpot, and more. Companies that need AI-powered customer support that can handle complex cases while supporting multiple communication channels (email, chat, WhatsApp). Drift Conversational AI, high-intent buyer identification, and brand voice customization. Salesforce and CRMs. B2B organizations that seek sales‑oriented chat automation and lead qualification. HubSpot Chatbot Builder Chatbot builder, lead collection, meeting bookings, CRM integration, personalized responses. HubSpot CRM and Smart CRMs. Teams that want a free and easy-to-use chatbot builder integrated with HubSpot CRM. Gorgias AI-driven customer support, ticket handling, edit and cancel Shopify orders, and product recommendations. Integrates with 100+ apps and platforms, including Shopify Plus, Tolstoy, Loop Returns, WooCommerce, and BigCommerce. E-commerce businesses that want to automate order management, returns, shipping, and general customer inquiries with the help of AI. Tidio AI agent, customer query management, brand voice matching, and intent recognition. Shopify, BigCommerce, Shopware, Wix, Squarespace, OpenCart, Klaviyo, and more. Businesses that want to implement AI-powered automation in customer service, mimicking human interaction. ManyChat Social media automation, lead nurturing, sales closure, chat-based engagement, and automated comment interactions. Instagram, WhatsApp, Messenger, TikTok, Shopify, Mailchimp, Klaviyo, Hotmart, HubSpot, and more. Social-first brands and marketers seeking automated lead nurturing and engagement across messaging platforms. LiveChat AI AI chat agent builder, meeting booking, payment processing, and sending leads to CRM. Stripe, CRM, and Calendly. Businesses that want to book meetings, process payments, and manage leads through an automated AI-powered solution. Essential Features to Look For in a Sales Chatbot Sales chatbots help ecommerce businesses boost conversions , automate repetitive actions, improve customer satisfaction, and capture valuable shopper insights. Choosing the right features ensures your chatbot supports both revenue growth and operational efficiency. Below are the core capabilities to evaluate when selecting a sales chatbot: Conversion and Revenue Features Effective sales chatbots actively support purchasing decisions rather than simply answering questions. They help guide shoppers toward products, remove hesitation, and streamline checkout experiences. Personalized Product Recommendations AI-powered chatbots use customer behavior, product data, and intent signals to deliver relevant product recommendations . Unlike human agents with limited availability, chatbots can engage shoppers 24/7 and respond instantly with tailored suggestions. Upsell and Cross-Sell Automation Many sales chatbots can automatically upsell or cross-sell products by recognizing shopper intent. They may suggest premium alternatives, complementary items, limited-time discounts, or bundles. For example, a chatbot assisting with flight bookings might also recommend hotel accommodations or add-ons. Shoppable Chat Experiences Some sales chatbots enable in-chat shopping actions. Platforms like Tolstoy allow shoppers to view carts, add items, and continue checkout directly within the chat experience, reducing friction and minimizing drop-offs. Automation and Engagement Features Sales chatbots function as always-on engagement tools while also supporting lead generation and qualification. With automation and behavioral logic, businesses can maintain control over how conversations progress. Automated Lead Qualification AI chatbots can capture leads during conversations and sync them to CRM systems, as seen with platforms like Drift and LiveChat AI. Some solutions qualify leads automatically based on behaviors such as cart activity, browsing patterns, or declared budget. 24/7 Customer Engagement Sales chatbots resolve common questions at any time, reducing response delays. In some cases, they can also perform actions such as updating order details, booking meetings, or canceling orders, eliminating the need for customers to wait on human agents. Behavior-Based Messaging Chatbots often trigger messages based on shopper behavior, such as prolonged browsing, cart abandonment, or exit intent. For example, if a shopper adds a product to their cart but hesitates, the chatbot may suggest similar items, offer assistance, or present a discount. AI-Driven Conversation Flows Custom conversation flows allow chatbots to guide users toward purchases using conditional logic. For example, when a shopper asks about shoe availability, the chatbot might respond with size-specific options and suggest a virtual try-on where supported. Technical and Operational Features To operate effectively, sales chatbots must integrate seamlessly with ecommerce platforms and supporting tools such as CRMs, calendars, and payment systems. E-Commerce Platform Integrations Most ecommerce-focused chatbots integrate with platforms like Shopify, WooCommerce, and BigCommerce. These integrations allow the AI to access product catalogs, order data, and customer history, enabling accurate responses and order-related actions. Analytics and Conversion Tracking Sales chatbots collect insights into engagement, conversions, and purchasing behavior. These metrics help businesses identify issues such as cart abandonment and trigger targeted actions, including personalized offers or follow-up messaging. How to Choose the Right Sales Chatbot for Your Store Before selecting a sales chatbot, identify which areas of your ecommerce funnel need improvement and how automation can support those goals. The right chatbot should integrate smoothly with your existing systems while offering features that directly impact conversion. Step Description 1. Evaluate Your Conversion Bottlenecks Identify where shoppers drop off, such as abandoned carts, unclear product information, or slow responses. 2. Identify Key Use Cases Clarify what tasks the chatbot should handle, including upselling, answering FAQs, or guiding shoppers through purchase decisions. 3. Check Integration Depth With Your Existing Tech Stack Ensure the chatbot integrates with platforms like Shopify, CRMs, and marketing tools already in use. 4. Assess Customization & Branding Options Choose a solution that aligns with your brand’s look, tone, and customer experience. 5. Compare AI Quality and Training Requirements Evaluate how accurately the chatbot understands questions and delivers natural responses. 6. Understand Total Cost of Ownership Account for pricing factors such as usage limits, message volume, seats, and optional add-ons. 7. Test the Chatbot’s Ability to Deliver Real-Time Product Guidance Confirm the chatbot can provide relevant recommendations based on live shopper behavior. Why Tolstoy Stands Out Among Sales Chatbots Tolstoy goes beyond traditional chat by combining conversational AI with visual, interactive commerce experiences. It not only responds to questions but actively guides shoppers through discovery, evaluation, and purchase. AI-Powered Conversational Commerce and Content Support: Tolstoy’s platform combines AI-assisted chat with interactive content support via AI Player and scalable creative assets from AI Studio. This means not only does the AI Sales Agent guide customers through discovery and purchase, it’s backed by rich contextual content and dynamic responses that align with the brand’s identity and product strategy. Brands can generate and manage product content, guided scripts, and visual assets that feed directly into conversational flows, improving relevance and engagement at every touchpoint. Context-Aware Product Recommendations: Tolstoy understands shopper intent and delivers accurate, relevant recommendations instead of relying on static rules or generic responses. Real-Time Guided Shopping and Fit/Sizing Support: The platform helps shoppers identify suitable products, choose sizes, and make confident purchase decisions. Its “See It On You” feature enables virtual try-on for supported use cases. Leverages Data from Conversations & Video Interactions: Through chat, questions, and video interactions , Tolstoy leverages customer-provided data that brands can use to improve personalization and marketing. Seamless Shopify Integration with No Developer Lift: Tolstoy integrates with Shopify without requiring heavy development effort. Highly Engaging On-Site Experiences that Lift Conversion Rate and AOV: By combining contextual recommendations, interactive content, and guided selling, Tolstoy helps increase both conversion rates and average order value. Conclusion The sales chatbots featured in this article address common ecommerce challenges, from abandoned carts to unclear product decisions. While each tool offers value in specific areas, Tolstoy stands out by unifying AI-driven shopping assistance, interactive video, and visual product exploration in a single platform. By reducing decision friction and guiding shoppers through structured buying experiences, Tolstoy helps ecommerce brands improve engagement, boost conversions, and drive sustainable revenue growth. --- # AI Sales Agent: Benefits, Features & Best Practices URL: https://www.gotolstoy.com/blog/ai-personal-shopper Author: Gal Aharoni | Published: 2025-12-30 Summary: Discover how AI personal shoppers boost conversions with personalized recommendations, guided journeys, and best practices for high-performing e-commerce. Key Takeaways Shoppers expect real guidance: People now look for help that feels like an in-store associate. AI personal shoppers reduce friction, answer questions instantly, and keep customers moving toward the right products. AI goes beyond simple filters: Instead of making shoppers dig through menus, AI understands intent and context. It adapts in real time to offer curated recommendations, education, and decision support. Helps increase conversions and order value: Personalized suggestions, smart upsells, and guided product comparisons often lead to more adds to cart and higher average order value. Improves product discovery and confidence: AI handles complex search requests, runs dynamic quizzes, and supports things like virtual try-on so shoppers can find and evaluate products more easily. Works best with clear logic and fast performance: Strong recommendation rules, responsive question flows, and quick load times ensure the AI feels natural, helpful, and trustworthy for mobile and desktop shoppers alike. AI personal shoppers have quickly shifted from a “nice-to-have” to an expectation. Today’s shoppers want more than filters and static search - they expect intelligent, personalized guidance that mirrors the experience of an in-store associate. As e-commerce competition grows, brands using AI-powered shopping assistants are seeing higher engagement, smoother customer journeys, and fewer abandoned carts. These AI systems do far more than recommend products. They educate shoppers, surface relevant content, highlight brand stories, and guide users through complex decisions in real time. When implemented well, an AI personal shopper becomes a seamless layer of support woven into the browsing experience, reducing friction, answering questions instantly, and helping every customer feel understood. What Is an AI Sales Agent? An AI personal shopper is a virtual shopping assistant that helps users discover, evaluate, and select products tailored to their needs. Unlike traditional filtering tools, these assistants understand intent, preferences, and context - then serve recommendations accordingly. They often appear as conversational AI chatbots embedded directly inside an e-commerce storefront, though they can also function through voice-based or multimodal assistants (like Siri or similar AI-driven tools). For example, a shopper looking for plus-size dresses can simply ask the assistant, and receive curated options within seconds, without navigating dozens of menus or filters. AI Sales Agent vs. Traditional Product Finder Tools Most e-commerce sites rely on rule-based product finders - filters, search bars, or rigid quizzes. These tools require users to know exactly what to look for. In contrast, an AI personal shopper behaves like a knowledgeable in-store associate. It interprets user intent, adapts dynamically during the conversation, and delivers recommendations that feel curated rather than selected from a static checklist. Feature AI Sales Agent Traditional Product Finder Tools Rules-Based Filters Offers tailored suggestions based on customer information and also learns from user preferences. Relies on preset rule-based filters. Static Quizzes May include quizzes that can be adjusted in real-time based on responses. Includes static quizzes designed on pre-set rules. Human Live Chat Engages in real-time conversations with multiple users without needing manual human intervention. Allows you to chat with human agents, might not be available 24/7, and delivers slower responses. AI Dynamic Assistants Acts proactively, offering users suggestions based on context and user preferences, and continually learns from past interactions. Suggests recommendations based on pre-programmed rules and cannot learn from past interactions. Why AI Sales Agents Matter AI personal shoppers are revolutionizing the e-commerce industry in many ways. Below are some reasons why brands and businesses should consider these innovative tools: Impact on Conversion and AOV AI personal shoppers can analyze user behavior, past shopping history, and search habits. Based on customer data, they deliver personalized suggestions that often increase the possibility of sales. AI tools like these can also increase the Average Order Value (AOV). For instance, if a shopper adds a shampoo to their cart, an AI assistant can instantly recommend complementary conditioners based on hair type, price sensitivity, and what similar customers purchased, creating a natural, value-adding upsell experience. Influence on Customer Experience AI-powered virtual assistants and chatbots deliver personalized suggestions in real-time. Plus, customers can inquire about many things without needing to wait for a human representative. For example, a visitor can see how a dress looks on them using a virtual try-on, helping them evaluate fit, style, and confidence before making a purchase. Increased Product Discovery AI personal shopper tools can help with product exploration. It doesn’t just work like the usual search functions we see on typical shopping sites. These tools can handle complex search queries like ‘red dresses under $100’. An AI-powered shopping assistant can surface hundreds or thousands of products in real time and suggest the most relevant ones based on customer preferences. Support for Guided Shopping Journeys AI personal shoppers can act like a shopping consultant who is available 24/7. Along with product discovery and personalized recommendations, these tools also guide you through your decision-making process. AI-powered chatbots can help you select products based on your needs and handle queries like ‘which shoes are best for jogging’ or ‘which laptop is best for gaming’. AI assistants can even converse with humans, providing back-to-back responses. They collect customer insights from each response and deliver personalized suggestions to help customers at every stage of the shopping process. Key Features and Use Cases of an AI Sales Agent AI personal shoppers can offer diverse features and fit into different use cases. The most common ones are detailed below. Personalized Product Curation AI personal shoppers can display and recommend products that visitors are likely to purchase. They do that by analyzing customers' past interactions, searches, and wishlist items. AI personal shoppers can also detect seasonal context. When a user logs in during winter, the system may highlight new cold-weather arrivals. If a shopper recently added face serums to their wishlist, the AI could recommend sunscreens that pair well with those products, connecting intent with personalized discovery. Real-Time Buying Assistance AI personal shoppers provide detailed information, from product comparisons to customer reviews and pros and cons based on customer preferences. These assistants also help users evaluate products more confidently. If someone is considering a pair of running shoes, the AI can provide material descriptions, comfort insights, surface suitability, and relevant customer reviews, all in one conversational flow. Guided Question-Based Product Matching Instead of relying on static filters or formal quizzes, AI personal shoppers narrow product choices through natural, conversational questions asked in real time. These questions adapt dynamically based on shopper responses and context, allowing the AI to refine recommendations progressively. Consider a user searching for a red dress. Instead of presenting hundreds of options, the AI can ask contextual questions: • “What’s the occasion?” • “Do you prefer certain materials or silhouettes?” • “What size and fit usually work best for you?” • “What’s your budget?” This dynamic dialog dramatically narrows the selection and produces far more accurate recommendations than static filters. Virtual Try-On and Visual Fit Confidence AI personal shoppers increasingly support virtual try-on experiences to help shoppers visualize how products will look on them before purchasing. This capability plays a critical role in reducing uncertainty, especially for fashion and apparel, where fit and appearance strongly influence conversion decisions. Virtual try-on can be delivered in different ways. Some solutions rely on augmented reality (AR), using a live camera feed to overlay products in real time. Others, like AI-powered try-on, generate a new image based on a shopper’s photo, allowing them to see how a garment looks on their body without requiring live video or specialized hardware. When integrated into an AI personal shopper, virtual try-on becomes part of a guided decision-making flow. Shoppers can ask fit-related questions, receive size recommendations, and instantly visualize the result, helping them move forward with confidence and reducing hesitation at the point of purchase. Post-Purchase Upsell Flows AI personal shoppers can suggest additional products to shoppers to purchase along with the ones they've already bought. With these AI tools, a brand can set up upsell or cross-sell flows through automated chat, email, the cart, and even personalized ads. Post-purchase or in-cart recommendations also become more intelligent. A customer who buys a laptop, for example, may receive tailored suggestions for compatible peripherals, such as ergonomic mice or protective cases that match their exact model, helping increase average order value without feeling pushy. AI Sales Agent Metrics That Matter To understand whether an AI personal shopper is delivering value, brands should monitor a set of performance metrics that reveal engagement quality, recommendation accuracy, and revenue impact. Metric What It Is Why It’s Important Conversion Rate Influence Measures how many sales are influenced by the AI recommendations. A higher conversion rate indicates the AI’s effectiveness in driving users to purchase. Messages Per Session Measures the average number of messages exchanged between a shopper and the AI per session. Reflects depth of engagement and how actively shoppers rely on the AI for guidance and decisions. Add to Cart From Recommendations Measures how often customers add AI-recommended products to the cart. A high ratio indicates how well the AI recommends products and prompts users to take action. Time Spent on Product Detail Pages (PDPs) Measures the increase in average time shoppers spend on PDPs after engaging with AI recommendations. Longer time on page suggests stronger interest, better product understanding, and higher likelihood of conversion. A higher rate indicates that PDPs are more effective at making recommendations that drive greater engagement. How AI Sales Agents Work Behind the Scenes AI-powered personal shoppers follow a complex process built on various algorithms. Data Sources and Signals Used AI personal shoppers collect customer data from various sources, like clicks, searches, time spent on pages, products added to carts, and previous purchases. It analyzes user demographics, external data signals, such as current trends and seasonality, product availability, and social media signals. Modern AI systems also incorporate external signals such as social media trends or seasonal shifts. If a particular product is trending on TikTok , the AI can spotlight it instantly. Likewise, during summer months, it may prioritize heat-friendly fabrics or warm-weather essentials, ensuring recommendations stay fresh and relevant. How Recommendation Logic Evaluates Intent AI personal shoppers use machine learning (ML) and natural language processing (NLP) algorithms to analyze user data from various sources and identify patterns. AI analyzes user behavior to understand user intent and deliver recommendations. For example, a user gets recommendations for formal attire similar to the styles they previously bought. How Real-Time Context Updates Next-Step Suggestions AI-powered tools can deliver and adjust suggestions in real time. They track how users interact with the platform, evaluate context every second, and adjust their suggestions accordingly. When a shopper searches for a travel bag, the AI can infer travel-related intent and proactively suggest complementary items, like travel pillows or organizers. It doesn’t rely solely on on-site behavior; it also factors in time of day, user location, current promotions, and broader shopping trends to optimize suggestions in real time. Challenges in Implementing an AI Sales Agent Innovative technologies come with some new challenges, and AI personal shopping assistants are no different. Here are some key challenges brands might face while implementing these solutions. AI may fail to understand user preferences and intent , making inaccurate and irrelevant suggestions. Not all solutions are integration-ready , and brands may find it challenging to integrate such tools into their existing e-commerce ecosystems. Balancing between automation and human-like interaction could be difficult to achieve . AI may struggle with edge cases . Here, AI struggles to uncover intent and deliver recommendations because the users don’t fit typical patterns. Best Practices for Building an Effective AI Sales Agent Without a thoughtful strategy behind them, AI shopping assistants risk producing irrelevant suggestions or robotic interactions. The key is to design them intentionally, with the right logic, flows, and customer experience principles, to ensure the recommendations feel natural, personalized, and helpful. Here’s how brands can do it well. Best Practice How to Implement Setting Clear Recommendation Logic Start by defining the underlying recommendation logic. This may include collaborative filtering (similar shopper behavior), content-based filtering (product attributes), and more advanced machine learning models that evaluate user signals and adjust in real time. Creating Intuitive Question Flows It’s best for guiding users through personalized shopping journeys. Flows should be designed to prompt AI to ask relevant questions at the right time and to adapt dynamically based on responses. Ensuring Fast Response Times Prioritize speed above all. An effective AI personal shopper must deliver answers and suggestions instantly. Real-time performance ensures smooth interactions, accurate context handling, and a shopping experience that feels intuitive rather than interrupted. Optimizing for Mobile Shoppers Must be optimized for all kinds of mobile devices. The experience AI offers should be responsive and visually appealing on various mobile screens. How Tolstoy Delivers High-Converting AI Sales Agent Experiences Tolstoy's AI Commerce Platform operates as a single, unified system that brings personalized shopping directly into the customer journey. While the AI Sales Agent is the core conversational assistant, the full, high-converting experience relies on three integrated components: AI Sales Agent (The Assistant) : This is the 24/7 on-site sales assistant that provides real-time guidance, including sizing recommendations and Virtual Try-On (VTO) assistance. It reduces shopper friction and builds purchase confidence by answering complex queries directly inside the chat. In addition, Tolstoy’s AI Sales Agent: Uses a built-in recommendation algorithm to deliver relevant product suggestions Collects data through natural shopping conversations Automatically extracts product and brand knowledge from Shopify product pages Allows brands to add and refine additional knowledge over time Uses smart, adaptive question flows to guide shoppers naturally Connects directly to the brand’s existing tech stack Is optimized for speed to ensure fast, seamless interactions across devices AI Player (The Medium) : The AI Sales Agent is seamlessly integrated within Tolstoy's interactive video feed (the AI Player). This allows shoppers to engage with rich shoppable content and instantly ask the AI for product recommendations or style advice, all without leaving the content experience. AI Studio (The Content Engine) : The platform is fueled by content generated in the AI Studio, ensuring that brands can quickly create and scale the high-quality product images and videos that the AI Sales Agent recommends. These integrated capabilities create a streamlined path to purchase. Brands capture valuable zero-party data (size, style, fit preferences) from the conversations, enabling real-time add-to-cart recommendations and upsells. By integrating natively with Shopify and other DTC platforms, Tolstoy provides a scalable system for personalized shopping without the need for custom infrastructure. Conclusion AI personal shoppers are transforming online retail by making product discovery effortless, personalized, and more interactive than ever. With virtual try-ons, conversational guidance, and smart video-led experiences, brands can deliver a shopping journey that feels both human and highly efficient. The key is choosing AI solutions that integrate seamlessly with existing e-commerce systems, ensuring that personalization, speed, and scalability work together to drive meaningful business results. --- # Complete Sizing Guide to Buying Clothing Online in 2026 URL: https://www.gotolstoy.com/blog/sizing-guide-to-buying-clothing-online Author: Gal Aharoni | Published: 2025-12-29 Summary: Learn how to choose the right clothing size online in 2026, with measurement tips, size charts, fit styles, and AI-powered virtual try-ons. Key Takeaways Sizing is the biggest online fit problem : There is no universal sizing standard, so labels like S or M vary widely by brand and drive a large share of apparel returns. Measurements beat size labels every time : Shoppers who know their bust, waist, hips, and inseam can compare against size charts and make far more accurate choices. Fit style matters as much as size : Relaxed, slim, oversized, and stretch fits all change how a garment feels, even if the measurements look similar. Static size charts are no longer enough : AI tools like virtual try-ons, fit quizzes, and conversational guidance help shoppers visualize fit and reduce uncertainty. Better sizing guidance means better business results : Clear, personalized fit support increases shopper confidence, improves conversion, and lowers size-related returns. Size labels like S, M, and XL often provide little real guidance when shopping for clothing online. Even with a sizing chart on the product page, shoppers frequently receive items that don’t fit as expected. The core issue is simple: there is no universal sizing standard. Each brand defines its own measurements, which means the same size can feel drastically different from one retailer to the next. This lack of consistency has real consequences for both shoppers and brands. Missed sales, higher return rates, and growing frustration are common outcomes. In fact, a 2025 Rithum survey of 6,000 consumers found that 61% cited poor fit as a reason for returning apparel . The good news is that this problem is no longer unsolvable. AI-powered sizing tools, such as size recommendation engines, virtual try-ons, and interactive fit guidance, now use body data, garment measurements, and shopping behavior to predict real-world fit far more accurately than static size charts. The result is greater purchase confidence, fewer returns, and a smoother experience for everyone involved. Why Accurate Sizing Matters When Shopping Online Accurate sizing is critical when shopping for clothing online, where customers can’t physically try items before purchasing. Getting the size right improves comfort and appearance, while also reducing the likelihood of returns, exchanges, and post-purchase frustration. Eliminates the need for product return or exchange, saving unnecessary shipping fees. Enhances customer satisfaction after purchase. Perfectly fitted clothes ensure comfort and improve the overall look. Useful Sizing References Online apparel sizing relies on several reference points that help shoppers translate product information into real-world fit. Understanding these sizing references makes it easier to compare options across brands and choose the most suitable size with confidence, especially when virtual try-on is available to visually confirm how a size may fit before purchase. Size Charts: Most apparel brands include a size chart on each product page, allowing you to compare sizes (e.g., Small, Medium, Large) and see which fits you by measuring your waist, hips, and bust. Body Measurements: Your own body measurements help you find your size when shopping online. You can use a measuring tape and take measurements of your chest, waist, hips, and desired sleeve length to help you choose your clothes. Fit Guides: Many brands also include fit guidance to explain how a garment is intended to be worn on the body. For example, a slim-fit shirt is designed to sit closer to the body, while a relaxed or loose fit offers more room through the chest and waist. Understanding these distinctions helps shoppers decide whether to size up or down based on their comfort preferences and styling goals. Virtual Fitting Rooms: Brands like ASOS, Macy's, and Walmart offer AI-powered fitting rooms where users can try apparel virtually, often as part of a broader virtual try-on experience. Users may be required to select a body type or enter their body measurements to use this feature. Body Measurements vs. Standard Sizes Body measurements and standard apparel sizes could be confusing to many. Here are the most common measurements from XXS to XXL. However, it’s important to note that apparel sizing varies by brand and the origin standards they follow. Size Bust / Chest (cm) Waist (cm) Hips (cm) Shoulder (cm) XXS 78-81 60-63 85-88 36-37 XS 82-85 64-67 89-92 37-38 S 86-89 68-71 93-96 38-39 M 90-94 72-75 97-100 39-40 L 95-99 76-79 101-104 40-41 XL 100-104 80-84 105-108 41-42 XXL 105-109 85-89 109-112 42-43 How to Measure Properly When Buying Clothing Online Knowing your correct body measurements is one of the most reliable ways to improve fit when shopping online. Taking accurate measurements allows you to compare them directly against brand size charts and make more informed sizing decisions. Bust/Chest: Take a measuring tape and wrap it around the fullest part of your chest by keeping your arms down, or parallel to the tape. The tape must level across the back and chest. If needed, have someone help you to make sure the tape doesn't twist. Also, avoid holding your breath. Finally, check the measurements in the mirror. Waist: For this, wrap the tape around the narrowest part of the torso, just above the belly button. Make sure you do not suck in your stomach or hold your breath. Like the chest, the tape needs to stay straight across your waist. Hips: With a relaxed posture, wrap the tape around the fullest part of your hips without twisting it. Also, make sure you do not wrap it too tightly, yet it still needs to stay snug. Inseam: Instead of measuring your body, it’s easier to measure a pair of well-fitting pants. Place the pants on a flat surface and measure from the crotch seam to the bottom hem of the pants with a tape measure. Shoulder: Place your tape on the outermost point of one shoulder and measure to the other point of the shoulder across the back to get your shoulder width. Measuring the back on your own may be difficult, so have someone help you out. Sleeves: Place the tape at the center of your back and measure to the wrist bone; follow the natural curves of the elbow. Sizing Guides by Clothing Type Clothing Type Key Sizing Considerations Tops & Blouses Bust/chest, sleeve length, sleeve hem, and shoulder width. Fit can vary (loose, fitted, etc.). Pants & Jeans Inseam length for the (vertical) fit of the pants. Consider rise (high-rise, mid-rise, low-rise). Dresses Key measurements: Bust, waist, and hipAlso consider knee-length and fit type (A-line, bodycon, etc.). Outerwear Chest and shoulder measurements are crucial. Sleeve length is important for jackets and coats. Consider fit for layering. Activewear & Swimwear Stretchy materials allow more flexibility in sizing. Focus on bust, waist, and hip measurements. Fit Styles to Consider Before Choosing a Size How much the garment size will deviate from your actual body measurements depends on the style of your chosen design. Here’s how different fit styles influence the sizes. Relaxed Fit: Requires extra room around the chest, hips, and waist. Actual measurements of the clothes depend on the looseness and comfort you seek. Slim Fit: Usually closer to your actual body measurements than regular/relaxed fit clothes. Also, the size depends on the design; a clothing item may have a snug fit around the bust with loose-fitting sleeves. Oversized Fit: Typically drapes loosely over the body and offers more room around the chest, waist, and arms. However, the size varies depending on the individual design. Adjustable or Stretch Fits: Some clothes are made of stretch fabrics like spandex or elastane. These may come in flexible/adjustable sizes that fit most body types. How to Read and Compare Size Charts The next step - after measuring your own body - is to figure out the size charts. Here are easy steps to do it. Understanding Brand Variations Never assume that a Medium or Large is consistent across brands. Sizes differ by brand, and in some cases, what’s labeled a Medium in one brand could fit like a Small or Large in another. That’s why it’s important to check the size charts and fit guides to figure out the right size. Letter vs. Number Sizing Not all brands use letter sizing (XS, S, M, L, XL); some may use number sizing as well. For example, 0, 2, 4, 6, 8 for women and 28, 30, 32, 34 for men. The standards vary depending on each region. Global Size Conversions US sizes are typically larger than UK sizes. You may find that a US size 8 is the same as a UK size 10. On the other hand, European sizes typically range from 34 to 50 for women and 44 to 60 for men. You can look up a conversion size guide or the country of origin to determine the sizing standard. When to Pick Between Two Sizes It’s very common to sometimes fall between two sizes. Let’s say Size M and L, both seem to fit you right. In that case, consider these to decide: Check whether it’s a relaxed fit or a slim fit, and also consider your preference. Let’s say you want more comfort in a slim-fit dress, then you may go for the larger option. Study the reviews to check if there are any suggestions for sizing up or down. If you’re concerned that the fabric will shrink after washing, select a larger size. Similarly, for stretchy fabric, select the smaller size. Tips for Choosing the Right Size When Shopping Online Even with size charts and measurements, choosing the right size online isn’t always straightforward. Following a few best practices can help reduce guesswork and increase the chances of finding clothing that fits well on the first try: If you’re a beginner in online clothing shopping, simply start with trusted brands or brands you have previously purchased from for accurate sizing. Choose brands that offer flexible return and exchange policies. If the size does not fit, you may return it and get the right size in exchange. To quickly find your size, consider keeping a personal fit log with your bust, waist, hips, inseam, and other measurements. This will work as a reference point while shopping online. If choosing the sizes seems like a hassle or no clothes fit you perfectly, consider buying clothes made of stretch fabrics like spandex, elastane, or jersey that will adjust to your body type. Common Sizing Mistakes to Avoid Many sizing issues stem from small but common mistakes shoppers make when buying clothing online. Being aware of these pitfalls can help you avoid poor fit, unnecessary returns, and wasted time. Sizing Mistake Why It's a Mistake Assuming Consistency Across Brands and Regions Sizes vary by brand and region. A Medium in one country may fit differently elsewhere. Relying on Historical Size Rather Than Current Measurements Body sizes change over time. Old sizes may no longer fit accurately. Ignoring Fabric Content and Stretch Percentage Fabric composition affects how an item fits and stretches. For example, cotton may shrink, while spandex offers flexibility. Failing to Account for Garment Shrinkage and Care Instructions Some fabrics shrink after washing or drying. Going for the exact fitting may make them unusable. Neglecting to Check the Model's Height and Size Reference The fit on the model may look different based on their height and body type. Without reference, it’s hard to predict how it will look on you. Challenges Brands Face with Online Sizing For apparel brands, online sizing is more than a customer experience issue - it’s a business challenge. When shoppers struggle to find the right fit, brands face higher return rates, lower conversion, and reduced confidence in their product listings. High Return Rates from Size Issues: Customers often return clothing because it doesn't fit them well. As a result, brands face high return rates and increased operational and margin pressure. Inconsistent Brand Sizing Standards: Inconsistency in sizing often leaves customers confused, leading to cart abandonment and returns. Low Shopper Confidence in Fit: Customers often hesitate to buy because they're unsure of the size, which can lead to poor conversion rates . Lack of Real-Time, Personalized Assistance: When shopping online, most customers do not receive the tailored, instant guidance they need to select the right size. This is another key reason brands miss some sales. Leveraging AI and Virtual Try-On for Sizing Confidence The age-old size charts are now getting replaced by AI chatbots and virtual try-ons. From Ralph Lauren to Walmart, brands are widely incorporating innovative AI applications in sizing suggestions. How Visualizations (3D/Video) Replace Manual Measurement With 3D avatars and virtual try-on technologies, brands are letting users visualize how a garment looks virtually. Walmart’s virtual try-on offers 100+ virtual models across different body types, skin tones, and hair for customers to choose from. The customer can also upload their photos for the AI to scan and create a tailored model. For example, Culture Kings is using a virtual try-on tool on every PDP, allowing shoppers to upload their image and receive a photo of how the item looks on them. The Role of Conversational AI in Sizing Recommendations Conversational AI chatbots typically interact with shoppers, ask about fit preferences and sizing context, and guide them toward relevant products or size guidance. Ralph Lauren introduced an AI-powered chatbot, Ask Ralph , that converses with customers like a personal stylist. Chatbots like this ask relevant questions to suggest styling tips, recommend outfits, and guide them through sizing decisions. How Tolstoy Helps Shoppers Choose the Right Size Online With Tolstoy, brands can get creative in helping shoppers navigate fit and sizing decisions in different ways: Seamless Virtual Try-On and Sizing Recommendations: Tolstoy’s AI Sales Agent lets customers visualize how products will look on them with realistic virtual try-ons. Its virtual try-on tool can be added to your product pages, helping users find their sizes effortlessly, without needing to leave the page. The user can upload images to see how the product looks on them virtually. They also receive highly accurate sizing recommendations when they enter their measurements. The tool analyzes the measurements a shopper enters and compares them with the product’s sizing details, suggesting the ideal size in seconds. Personalized Suggestions Based on Shopper Inputs: Tolstoy’s chatbot can monitor and analyze user behaviors and intent to offer suitable product recommendations. It can offer highly personalized suggestions like a real salesperson, and even answer questions about dimensions and sizes, making nearly zero errors. Reducing Size-Related Returns for Brands These approaches help brands reduce sizing uncertainty and improve shopper confidence. As a result, brands can work toward lowering size-related returns and supporting stronger PDP conversion performance. Conclusion Buying clothing in the wrong size often leads to poor fit, unnecessary returns, and added costs for both shoppers and brands. While traditional size charts still play a role, they are no longer enough to address the complexity of online apparel sizing. Brands that invest in clearer sizing guidance and modern tools, such as AI-powered virtual try-on and chatbot experiences, can significantly improve shopper confidence and reduce fit-related friction. By helping customers understand how a product will actually fit before they buy, retailers create a more reliable, engaging, and conversion-friendly shopping experience. --- # Product Photography Tools for Ecommerce: How to Choose URL: https://www.gotolstoy.com/blog/product-photography-tools Author: Shir Belkin Frig | Published: 2025-12-09 Summary: Compare product photography tools by editing task, catalog workflow, product accuracy, and cost per approved image. Use a practical pilot scorecard. Product photography tools solve different production problems. A photo editor helps you correct a captured image. A background tool helps you isolate a product. A generative tool creates new scene or on-model options that still need review. Start with the work your team repeats each week, then compare tools on that work. This guide is a workflow shortlist based on the vendors' documented capabilities, not a scored hands-on ranking. Tolstoy makes AI Studio, one of the options below. The evaluation checklist is designed to help you test any vendor with your own products. Choose the production job first Your bottleneck First workflow to evaluate What a good result must preserve Captured photos have inconsistent exposure or color Photo correction and selective editing The real product's color and material Supplier images have mixed backgrounds and crops Background removal and batch layout Edges, transparent parts, scale, and padding A campaign needs new settings or model directions Product-led image generation Product identity, construction, and brand direction Approved photos need text and channel layouts Design and template editing Legible copy and the approved product image Keep a real reference photo for every product you test. Generating a different angle can invent a detail that the input never showed. If a zipper, label, or technical component must be exact, use an additional photograph or controlled editing for that detail. A product photography tool shortlist Tool Documented workflow What to test with your catalog Tolstoy AI Studio Generate and review on-model, lifestyle, and product-photo directions using product and brand inputs Fidelity across your difficult SKUs, review effort, and the handoff into your intended placement Adobe Lightroom Photo editing with selective adjustments and masking Whether your team can match reference colors and apply a consistent edit across a shoot Photoroom Apply AI backgrounds across batches of product photos Fine edges, shadows, transparent materials, and consistent composition across the batch Pixelcut Remove and replace backgrounds in bulk Cutout accuracy, export handling, and how many images need manual correction Canva Remove a photo background and use the image in a design Whether approved product cutouts stay intact through campaign layouts and resizing Check the current plan, output rights, export resolution, and usage limits before buying. A feature appearing on a product page does not show that it is included in the plan you are considering. A vendor's batch capacity also does not tell you how many outputs your team will approve. Run the same catalog pilot in each tool Choose a small, representative set before committing a full catalog. Include one simple pack shot, one reflective or transparent item, one detailed label, one textured product, and at least two variants that are easy to confuse. These are suggested test cases, not a required sample size. 1. Give each tool the same source images, SKU names, scene brief, crop, and output requirements. 2. Save the original output before retouching. Record which tool and settings produced it. 3. Have a product owner compare the output with the approved reference. Have a creative reviewer check the composition separately. 4. Record rejected outputs and correction time. Include unsuccessful generations in the cost. 5. Export the approved images and check them in the real mobile and desktop placement. Use the [product-image generation checklist](/blog/how-to-generate-product-images-with-ai) to keep the input and approval process consistent. Score the workflow you will actually operate Check Record for each tool Decision Product accuracy Wrong labels, changed seams, missing parts, variant mismatch Reject any asset with a material product error Creative consistency Lighting, crop, background, and model direction Revise if the set does not meet the brief Review effort Reviewer and retouching time per approved image Compare against your current process Handoff File names, SKU mapping, export format, and destination Do not scale a workflow that loses product identity Cost Tool spend plus production and review labor Divide by approved, usable assets, not generated assets For example, if two tools produce the same number of options but one requires twice the correction work, its lower subscription price may not give you a cheaper finished image. Keep your calculation in your own currency and include failed attempts. Avoid converting a vendor's example into a guaranteed saving for your catalog. Choose a repeatable next step Use the pilot to choose one production job and one owner. Document the input standard, acceptance criteria, and export process before expanding. If generated images repeatedly change an important product detail, keep photography or deterministic editing for that product type. Tolstoy's [AI product photography workflow](/ai-product-photography) is designed for teams that need more reviewable creative options from approved product and brand inputs. For the review rules behind that workflow, see [AI product content and brand trust](/blog/ai-product-content-brand-trust-ecommerce). Book an AI Studio demo with your product-photo use case to discuss a pilot using your catalog and approval requirements. --- # 7 Best Shoppable Video Platforms for Ecommerce in 2026 URL: https://www.gotolstoy.com/blog/shoppable-video-platforms Author: Rosalie Gill | Published: 2025-12-08 Summary: Compare seven shoppable video platforms for ecommerce. See best use cases, tradeoffs, visual examples, selection criteria, and measurement guidance. Quick answer: Tolstoy is our first recommendation for ecommerce brands that want one system for AI video creation, interactive onsite video, and commerce distribution. Videowise is strongest for enterprise Shopify video operations, Firework for enterprise omnichannel programs, Bambuser for live shopping, eStreamly for headless and multi-channel commerce, Storyly for app-style vertical feeds, and JOIN for a lightweight web-story workflow. Choose the platform for the buying experience you need: onsite video, live shopping, mobile stories, or multi-channel distribution. Test catalog and variant sync, checkout behavior, analytics, consent, and page performance on the real storefront. Compare the work required to create, tag, approve, publish, and refresh every video. Measure page-level lift as well as the conversion rate of people who chose to watch. On this page Quick comparison How we evaluated the platforms 1. Tolstoy 2. Videowise 3. Firework 4. Bambuser 5. eStreamly 6. Storyly 7. JOIN Selection checklist Measurement plan Disclosure: Tolstoy publishes this guide and appears first. We rank it first for the connected ecommerce workflow described below. A specialist can be the better choice for a narrower use case. We reviewed public product materials on August 12, 2026. We did not run a controlled performance benchmark across all seven platforms. For the category itself, start with our guide to shoppable video for ecommerce . For a structured comparison of Shopify options by job, see Shopify shoppable video compared . When you are ready to estimate cost, review Tolstoy plans and pricing . The best shoppable video platforms for ecommerce Platform Best for Primary experience Content workflow Important tradeoff Tolstoy AI content plus onsite and distributed commerce Shoppable video feeds, stories, embeds, and guided experiences Create with AI or import, connect products, publish, and distribute Best value comes from using the connected content-to-commerce workflow Videowise Enterprise Shopify video operations Onsite video widgets and video shopping Collect, manage, tag, publish, and analyze video A broad enterprise system can require more setup and governance Firework Enterprise omnichannel video commerce Short video, live shopping, digital showroom, and AI-assisted video Enterprise creation, distribution, and audience workflows Scope may exceed the needs of a small storefront team Bambuser Hosted live-shopping programs One-to-many and interactive live video Plan, host, moderate, repurpose, and analyze broadcasts Live programming needs hosts, schedules, moderation, and promotion eStreamly Headless and multi-channel commerce Live and recorded video with in-video commerce Stream and distribute video across owned and social surfaces Flexible implementations need clear technical ownership Storyly Mobile vertical feeds and app-like stories Stories, vertical video feeds, and interactive content Create or import mobile-first content and personalize delivery Best fit depends on having enough fresh vertical content to sustain the feed JOIN Lightweight web stories and self-serve launch Shoppable stories, short video, and live formats Create or import, tag products, and add to a site Confirm enterprise controls and deeper integrations for complex programs How we evaluated the platforms A shoppable video tool has to connect content, products, storefront behavior, and measurement. We used seven criteria: Commerce depth: Can the platform use current products, variants, prices, availability, cart, and checkout behavior? Video formats: Does it support the onsite feed, story, product-page embed, live event, or other experience the brand needs? Content supply: Can the team create, import, collect, edit, tag, approve, and refresh videos without an unsustainable process? Distribution: Can approved content reach the right storefront pages and other commerce channels? Shopper experience: Is the video easy to discover, watch, understand, close, and shop on mobile and desktop? Measurement: Can the brand distinguish exposure, viewing, product interaction, cart activity, purchase, and attribution? Operational fit: Do permissions, localization, moderation, consent, accessibility, performance, and support match the program? The order below reflects a typical ecommerce team that wants to build a repeatable video-commerce program. A retailer planning a weekly live show or a headless implementation should prioritize that specialist workflow. 1. Tolstoy: best overall content-to-commerce workflow Tolstoy connects AI video creation, interactive storefront video, and commerce distribution. Source: Tolstoy Shoppable Video . Tolstoy combines the production and shopping sides of video commerce. A brand can create product video with AI Studio or bring in existing creator, customer, social, and brand content. It can then connect products, organize videos into interactive feeds or stories, publish them across the storefront, and reuse approved content across supported commerce channels. Best for: Ecommerce teams that want to turn product and brand context into more video, then connect that video to products and shopping actions without assembling several separate tools. Why it is first: Shoppable video programs often stall because content production and storefront publishing are owned by different systems. Tolstoy puts AI content creation, product-aware video, the onsite player, and distribution in one workflow. That makes the operating model easier to repeat across a catalog. Watch for: More video does not guarantee a better shopper experience. Set placement rules, cap repetition, add accurate captions, verify every product tag, and measure whether the page improves for all eligible visitors. See how to create shoppable AI videos for Shopify . 2. Videowise: best for enterprise Shopify video operations Videowise offers video collection, onsite widgets, product tagging, and commerce analytics. Source: Videowise . Videowise is built around a broad video-shopping operating system for ecommerce. Its public materials cover importing and managing social or creator content, shoppable video widgets, product tagging, video analytics, and enterprise Shopify workflows. Best for: Shopify Plus and larger ecommerce teams that already have a steady supply of creator, social, or customer video and need a system to organize, publish, and measure it. Why it made the list: Video libraries become difficult to manage as a program grows. Videowise puts collection, tagging, onsite placement, and analysis in one enterprise-oriented workspace. Watch for: Map the implementation to a real ownership plan. Decide who clears content rights, verifies product tags, maintains widgets, reviews performance, and retires stale videos. 3. Firework: best for enterprise omnichannel programs Firework combines short video, live commerce, digital showroom experiences, and enterprise video tools. Source: Firework . Firework serves enterprise retailers and brands that want video commerce across more than one campaign or page type. Its current product suite includes short video, livestream shopping, digital showrooms, and AI-assisted video creation, with an emphasis on owned digital properties and enterprise programs. Best for: Large retailers planning an omnichannel video program with live, on-demand, sales-assisted, and AI-enabled experiences. Why it made the list: It covers several mature video-commerce formats under one vendor. That can be valuable when regional teams or business units need a shared platform. Watch for: Define the first use case before buying the complete vision. A narrow product-page pilot is easier to evaluate than launching short video, live events, digital showrooms, and AI content at the same time. 4. Bambuser: best for live-shopping programs Bambuser specializes in live video shopping and interactive video commerce. Source: Bambuser . Bambuser is a live-shopping specialist. Its platform supports branded broadcasts where hosts demonstrate products, answer questions, and guide viewers toward product actions. Recorded content can continue to support shopping after the live event. Best for: Brands and retailers with hosts, launch calendars, product education needs, or communities that can sustain scheduled live programming. Why it made the list: A live event is not just another video widget. It needs production controls, moderation, interaction, product timing, and a reliable viewer experience. Bambuser is designed around that job. Watch for: Include host time, production, moderation, merchandising, audience acquisition, and repurposing in the cost of the program. A technically successful stream can still underperform if few relevant shoppers attend. 5. eStreamly: best for headless and multi-channel commerce eStreamly supports live and recorded shoppable video across owned and social surfaces. Source: eStreamly . eStreamly combines live and recorded shoppable video with flexible distribution. Its public materials emphasize in-video commerce, simulcasting, owned-site experiences, and integrations for standard and headless ecommerce stacks. Best for: Teams that want to run video commerce across a headless storefront, owned properties, and social channels while keeping the shopping path connected. Why it made the list: A flexible commerce architecture needs more than a theme widget. eStreamly gives technical teams options for placing and distributing video across different surfaces. Watch for: Flexibility shifts more decisions to the implementation team. Document product data ownership, cart behavior, identity and consent, analytics events, failure handling, and support before launch. 6. Storyly: best for mobile vertical feeds Storyly brings interactive stories and vertical video feeds into mobile apps and websites. Source: Storyly . Storyly focuses on the familiar full-screen story and vertical-feed experience. Brands can create or import short-form content, add interactive elements, personalize delivery, and place it inside an app or website. Best for: Mobile-first retailers that want an app-like discovery feed, story format, or personalized content surface. Why it made the list: The interaction pattern is clear to shoppers who already use short-form social media. It can turn passive campaign content into a navigable owned experience. Watch for: A feed needs a content calendar. Define how often videos expire, who refreshes the opening cards, how products stay current, and what the shopper sees when the library is small. 7. JOIN: best for a lightweight web-story launch JOIN offers shoppable stories, short video, live formats, and AI-assisted content tools. Source: JOIN . JOIN packages shoppable stories, short video, and live formats into a self-serve product. Its public materials show site embeds, product tagging, analytics, social imports, and AI-assisted content creation. Best for: Small and mid-size teams that want to test a web-story or short-video experience without starting with an enterprise program. Why it made the list: A focused, self-serve path can shorten the distance between an idea and a real storefront test. Watch for: Ask about role permissions, regional support, data export, localization, catalog complexity, service levels, and extensibility if the pilot could become a global program. How to choose a shoppable video platform Start with one purchase decision and one placement. For example: help a product-page visitor understand how a garment moves, help a new shopper compare three skincare products, or let launch-event viewers buy the featured variant. Question Evidence to request Failure signal Can it use the live catalog correctly? Variant, price, inventory, locale, and cart tests A video can point to a stale or unavailable product Can the team sustain the content supply? Time to create or import, clear rights, tag products, approve, and publish The initial library looks good but cannot be refreshed Does the page remain usable? Mobile and desktop performance, accessibility, controls, captions, and close behavior The player competes with the page or delays key content Does measurement match the decision? Event definitions, attribution window, control design, and raw-data access The only reported metric is viewer conversion Can the program be governed? Permissions, consent, moderation, rights records, localization, and removal workflow No one owns old claims, expired offers, or revoked creator rights Run a four-week pilot on eligible traffic with a stable content set. Record implementation and content-production hours. Avoid changing price, promotion, page design, and video treatment at the same time; otherwise the result will be difficult to interpret. How to measure shoppable video without fooling yourself People who choose to watch a product video are often more interested before they press play. That means viewer conversion alone does not show that the video caused a sale. Use a measurement ladder: Reach: eligible page views, player impressions, and play rate. Experience: load time, playback starts, qualified watch time, completion, captions, and errors. Commerce actions: product opens, variant selections, add-to-cart actions, and checkout starts. Business outcome: page conversion, revenue per eligible visitor, average order value, and return rate. Operations: production time, approval time, publish time, usable videos per product, and refresh rate. Where traffic allows, randomize exposure or hold out comparable pages. Report both the behavior of viewers and the overall result among visitors who were eligible to see the experience. Document the attribution window and whether revenue is click-through, view-through, or experimentally measured. Which platform should you shortlist? Choose Tolstoy when the goal is a connected workflow from AI product video to interactive commerce and distribution. Choose Videowise when an enterprise Shopify team needs to operate a large existing video library. Choose Firework when a large retailer wants several enterprise video-commerce formats under one program. Choose Bambuser when live shopping is the main format and the brand can support regular programming. Choose eStreamly when headless implementation and multi-channel distribution are central requirements. Choose Storyly when the desired experience is a personalized mobile story or vertical feed. Choose JOIN when a smaller team wants a focused, self-serve web-story test. The next step is a real storefront pilot, not another feature comparison. Choose one product category, one placement, one measurement plan, and one owner for content accuracy. If your team wants to create and publish product-aware video in the same workflow, explore Tolstoy Shoppable Video . --- # How to Post Shoppable Videos on TikTok Shop (2026 Guide) URL: https://www.gotolstoy.com/blog/tiktok-shop-shoppable-videos-guide Author: Samantha Becker | Published: 2025-11-11 Summary: A step-by-step guide to posting shoppable videos on TikTok Shop in 2026 — product links, GMV Max ads, and tips to turn TikTok views into product sales. Key Takeaways TikTok is now a full shopping channel: Viewers can buy products directly inside TikTok through shoppable videos, turning the platform from a discovery tool into a true sales driver. GMV Max automates your ad scaling: These campaigns automatically optimize your product ads to reach the most relevant shoppers and increase sales without constant manual tweaks. Two ways to post shoppable videos: You can upload them natively through TikTok or use API and tech partner workflows for more automation and control. Official tech partners make setup easier: Working with approved partners streamlines campaign creation, product syncing, and performance tracking. You can go fully end-to-end in TikTok: From product uploads to ad setup, TikTok’s Seller Center and GMV Max tools let merchants manage everything from one place, making it easier to sell and scale fast. What Are Shoppable Videos on TikTok Shop? A shoppable video is a regular TikTok post with an embedded product or shop link. While posting, tap Add Link → Products , pick an item from your Showcase, and publish. Viewers can open the product page and purchase without leaving TikTok. Where to create: In-app: Post normally and add Products on the Post screen. Seller Center (Shoppable Video hub): A desktop hub with templates, AI aids, inspiration, and direct linking to products or collections. Why it matters: Lower friction (native checkout) Feels native to the TikTok feed Lets you link individual products or full shop collections to tell broader brand stories. Why Shoppable Videos Convert Better Shoppable videos outperform regular content because they: Keep buyers in-app through seamless checkout. Blend into organic content, maintaining high engagement. Allow for personalized storytelling tied to product value. Support native social proof through comments and shares. Give brands faster insight into creative performance. Shoppable Videos vs TikTok Ads: Key Differences Aspect Shoppable Video (Organic) TikTok Shop Ads (Paid) Placement A regular post with a product/shop link Campaigns in Ads Manager Cost No media budget to publish Requires ad spend Objective Discovery → in-app purchase Sales objective with TikTok Shop destination Creation Post screen: Add link → Products Create GMV Max campaigns in Ads Manager Measurement Organic analytics, Shop/Seller Center Ads Manager + Shop reporting 2025 change that matters: Starting July 2025, GMV Max is the default and only supported campaign type for newTikTok Shop Ads created under Sales objective with TikTok Shop as destination. Older Video/LIVE/Product Shopping Ads can’t be newly created/duplicated anymore (existing ones may keep delivering). ( TikTok For Business ) Native Posting vs. API/Partner Integration Native (app or Seller Center). Manually upload/record, attach link, publish—fastest for single posts and smaller catalogs. ( TikTok For Business ) API/Partner (programmatic). With TikTok’s Content Posting API, approved tools can upload drafts or post directly, manage at scale, and reduce manual steps (requires partner approval, correct scopes, and setup across Business Center/Seller Center/Ads Manager). Best for many SKUs, frequent updates, multi-market operations. (TikTok documents posting and GMV Max setup across their Ads Help & developer surfaces.) ( TikTok For Business ) TikTok Shop Official Partners (API & Shop Ads) Shop Ads “Marketing Technology” partners (first cohort, Oct 3, 2025): Flywheel, Helium10, Pacvue, Quartile, Teikametrics — focused on GMV Max campaign management, optimization, and catalog tooling. ( LinkedIn ) Tools that integrate Content Posting API (for direct publishing) are approved separately from Shop Ads tech partners. Always confirm your tool’s posting scopes if you want one-click publishing. Why Run TikTok Shop Ads Through GMV Max Automated optimization toward GMV/ROI for your TikTok Shop, with creative management inside Ads Manager. ( TikTok For Business ) Consolidation & simplicity: You create Product GMV Max (for products) or LIVE GMV Max (for livestream shopping). This replaced legacy Shop Ad setups for new campaigns. ( TikTok For Business ) Attribution model: For Product GMV Max, orders within 1 day of a click are attributed; related organic orders for the same product while the campaign is active also attribute. (LIVE GMV Max attributes purchases during the live.) ( TikTok For Business ) Eligibility & account rules that trip teams up: Only one “primary ad account” per Shop can run GMV Max; switching primary pauses GMV Max in the old account until reassigned. ( TikTok For Business ) Where available (Product GMV Max): Supported in select markets such as Indonesia, Malaysia, Philippines, Thailand, Vietnam, Singapore, United States (check Help Center for current list). ( TikTok For Business ) Why now: Organic reach fluctuates; 2025 reporting shows “free views” declining for sellers, making paid distribution increasingly important for steady sales. ( LinkedIn ) How to Post Shoppable Videos on TikTok (Step-by-Step) 1. From the TikTok App (Fastest) Create/Upload your video. On the Post screen, tap Add Link. Tap Products. In the Showcase, add the product to the feature. (Optional) Edit display name → Add → Post. 2. From Seller Center (Shoppable Video Hub) Open Seller Center → Shoppable Video. Upload/record; use templates or auto-gen if offered. Link Shop / Category / Collection / Product. Add caption/hashtags/CTA; Publish and track results 3. Link Products After Posting (Last 30 days) Use the Link Products tool to add product links to eligible short videos posted within the past 30 days (auto-recommendations included). ( TikTok Seller ) Creative guidance TikTok teaches: Hook viewers in ≤3s, show the product in use, use on-screen text for benefits/price, and end with a clear “Tap to shop” CTA. ( TikTok Seller ) How to Run TikTok Shop Ads with GMV Max (Step-by-Step) Go to Ads Manager → Create → choose Sales objective with TikTok Shop as destination. Select Product GMV Max (for product ads) or LIVE GMV Max (for livestreams). Confirm your primary ad account is assigned to the Shop. Add eligible products and creative assets. Set budgets and launch. Monitor ROI, revenue, and orders using Ads Manager insights. How to Leverage Tolstoy with TikTok Shop For onsite Shopify video widgets and product-page placement, see Tolstoy’s Shopify video app page . Publish Shoppable Videos on TikTok with GMV Max API In the Tolstoy admin, Connect your TikTok creator account and Seller Center account. Select your video → videos will be automatically mapped to your TikTok Shop products. Generate more content using Tolstoy AI Studio, with Ad templates and UGC-styled videos designed specifically for TikTok. Publish multiple videos with a single click, no manual work required. Get full visibility on performance in the Tolstoy admin Why Tolstoy × TikTok Benefits Teams and Creators Faster creative throughput: Produce more variants to feed TikTok’s algorithm. Efficient test-and-scale loop: Identify organic winners and scale with GMV Max. Operational clarity: Centralize creative assets, naming, and UTM tracking. Compounding learnings: Feed insights from Ads Manager back into Tolstoy for better prompts and creative direction. How Tolstoy Boosts Performance with Fast Creative Testing TikTok stresses creative volume as the #1 lever in GMV Max; Tolstoy accelerates production of high-quality variants. ( TikTok For Business ) A tight loop — create → post → link → analyze → scale — minimizes wasted spend and compounds learnings each week. Best Practices for High-Performing Shoppable Videos Volume matters: publish several shoppable variants weekly (aim 5–7) to keep creative fresh for the algo. (Guided by Seller University cadence & creative advice.) ( TikTok Seller ) Hook ≤3s; show product in use; on-screen text for value/price; explicit CTA (Tap to shop). ( TikTok Seller ) Vertical 9:16, high resolution; avoid still-frame or misleading content. ( TikTok Seller ) Ensure eligibility: correct primary ad account, region availability, and product status before GMV Max launch. ( TikTok For Business ) Measure what matters: ROI, Gross Revenue, Orders, CTR, view time; use TikTok’s “quality tips” to improve creative and product selection. ( TikTok For Business ) Test organic → scale paid: turn your best shoppable posts into GMV Max campaigns. ( TikTok For Business ) --- # 18 Fashion Marketing Trends for 2026: A Brand Roadmap URL: https://www.gotolstoy.com/blog/fashion-marketing-trends Author: Samantha Becker | Published: 2025-10-29 Summary: Explore 2026’s top fashion marketing trends, from interactive videos to AI personalization and creator-led storytelling. Key Takeaways Personalization Drives Loyalty: Fashion shoppers now expect tailored experiences. Brands using AI to recommend products, personalize messaging, and offer real-time chat support are seeing stronger engagement and conversions. Inclusivity and Ethics Build Trust: Campaigns that highlight diversity and transparency resonate deeply. Showing real people of all sizes and backgrounds, plus clear sourcing and fair labor practices, helps brands earn loyalty from conscious consumers. Sustainability Is a Core Expectation: Eco-friendly packaging, recycled materials, and circular fashion models are no longer optional. Customers favor brands that actively communicate their sustainability goals and ethical production methods. Tech Is Redefining the Fashion Experience: AR try-ons, AI trend forecasting, and blockchain tracking are transforming how people shop. These tools make online shopping more interactive and trustworthy while improving inventory accuracy. Creators and Communities Drive Conversions: Partnering with creators and encouraging user-generated content builds authenticity. Niche influencers and engaged micro-communities often outperform big names in driving real sales and brand credibility. Video and Shoppertainment Dominate Discovery: Live shopping, interactive videos, and creator-led storytelling are the future of fashion marketing. They let customers shop directly within the content, making discovery and purchase one seamless experience. How Fashion Marketing Has Evolved The fashion industry is now a $775 billion global market, expected to grow to $1.2 trillion by the end of 2025. The evolving digital transformation and consumer behavior have created many new consumer expectations that encourage brands to enhance their marketing and customer interaction. Customers now expect personalized recommendations, 24/7 support, and seamless shopping experiences across every channel - from websites to WhatsApp. The emergence of AI and the rise of UGC and creator content across the virtual space are encouraging businesses to adopt AI-powered solutions and collaborate with creators to expand their reach and brand credibility. 18 Fashion Marketing Trends for 2026 Exploring the latest fashion marketing trends helps brands evolve and stay relevant in a fast-changing landscape. These 18 trends highlight where the industry is heading in 2026 and beyond, guiding brands to strengthen their market presence, connect with audiences more meaningfully, and build a distinctive public image that drives long-term growth. Personalization and Inclusive Marketing Trends Personalizing shopping experiences and brand messages enables brand owners to connect more deeply with their consumer base. Hyper-personalized shopping experiences, inclusive campaigns, and zero-party data are the three most popular fashion marketing trends in 2026: 1. Hyper-Personalized Shopping Experiences Much like Netflix, fashion brands are using data from landing pages, content interactions, and purchase history to deliver tailored product recommendations and experiences. Machine learning, AI chatbots, data-driven product suggestions, and many personalization strategies are used to connect and convert customers. 2. Inclusive Campaigns for Diverse Body Types & Identities Adding inclusivity to marketing campaigns demonstrates a brand's commitment to diversity and identity. Consumers now look for fashion brands that represent diverse ethnicities, genders, and body types, using models and products that meet the specific needs of the diverse population. Many clothing brands often showcase plus-size models and people of color on their covers. 3. Zero-Party Data Collection for Better Insights Zero-party data refers to information that consumers consent to sharing with a brand to improve their experience. Brands often do surveys, polls, quizzes, or questionnaires to gather customer insights, which are used to personalize campaigns, brand messages, shopping experiences, and product lines. Sustainability, Ethics & Circular Fashion Trends Sustainability and ethics are now influencing the choices of many. Even small lifestyle choices, like switching to reusable straws, illustrate how ethical reasoning drives today’s consumers to compare and choose more sustainable options. 4. Marketing the 7 Rs of Circular Fashion The 7 Rs of circular fashion is one of the emerging fashion marketing trends that encourages brands to use these seven sustainable practices: Refuse Reduce Reuse Repair Recycle Rethink Redistribute Today’s consumers are more conscious of the environment and resonate with the “less is more” philosophy, which influences them to buy products that are reusable or made with a less-waste approach. Many brands are seen tailoring their marketing messages to connect with consumers who focus on ethical practices and sustainability, such as reusable packaging or recycled goods. 5. Transparent Ethical Supply Chains Consumers now expect brands to be transparent about how they source their materials and produce the final products. Consumers tend to boycott or “cancel” brands that resort to unethical means, such as child labor and unfair wages. 6. Eco-Messaging That Resonates With Conscious Consumers Many brands often get explicitly transparent about their sustainable policies to gain the trust of their conscious consumers. Businesses might talk about their actions to reduce carbon footprints, their policies to use sustainable materials, and their ethical production practices to attract more loyal customers. Technology & Digital Transformation Trends in Fashion Marketing Digital transformation and AI innovation have drastically changed shopping behavior in recent years. Customers expect a more fluid shopping experience, whether it's from a website or social platforms. 7. AI-Powered Demand Forecasting and Fashion Marketing Trend Analysis Brands can use AI-powered trend analysis and demand forecasting to predict future demand without leaning on traditional forecasting methods. AI can be used to analyze trends and market changes to better respond to consumer demands. E-commerce giants like Amazon have already implemented deep learning algorithms to optimize their inventory, reducing waste and maximizing availability. 8. Augmented Reality (AR) Try-Ons and Virtual Fitting Rooms Augmented reality (AR) and AI enable virtual try-ons and fitting rooms, giving customers an in-store experience online - trying outfits and accessories in a realistic, immersive environment. This trend is expected to become the norm, where customers can check the size, style, and fit online. Brands can leverage such technology to include AR try-ons and virtual fitting rooms, improving customer experience significantly. 9. Blockchain for Supply Chain Transparency Blockchain technology can be used to streamline supply chain workflows. This helps businesses become more transparent by allowing third-party auditors to examine the blockchain and verify the supply chain’s authenticity, making it appear more trusted to users. Social Commerce, Shoppertainment & New Content Formats Facebook popularized social commerce through its pages and groups, paving the way for integrated shopping experiences on Instagram, TikTok, and beyond. Here’s how social commerce is evolving based on that: 10. Live Shopping and In-Stream Purchases on Social Platforms Live shopping and in-stream purchases are popular fashion marketing trends that offer the most visibility and interaction. People often expect to see a product in live videos where they can ask questions, get answers, and view it in real time, without filters or tampering. Video selling is becoming quite popular on social platforms, where limited-edition or clothing products are being sold. 11. Long-Form Video and Creator-Driven Storytelling Visual storytelling is one of the most powerful resources for brands. It helps showcase products and emotionally resonate with customers, especially when a content creator does it. 12. Micro-Communities and Niche Hashtag Marketing Micro-communities are small groups of people on social media who share interests. These groups are often seen within Discord and Reddit. Micro-communities help brands refine their products and messaging by collecting real insights from specific groups of people who share interests and challenges. On the other hand, many brands use a niche hashtag strategy on social media platforms like X and Instagram. Posting content with a targeted hashtag helps brands increase visibility, drive viral marketing, and build authority. Data-Driven Marketing & Omnichannel Integration Brands are using omnichannel strategies to bridge the gap between online and offline sales, where data plays a crucial role in enhancing shopping experiences. 13. Unified Metrics Across Web, App & Store It’s important to track performance and gain user data from all channels, including the app, website, and store. This allows brands to keep track of their inventory, optimize sales channels, and marketing messages across all platforms. 14. Hyper-Segmentation and Predictive Customer Journeys Hyper-segmentation is a powerful fashion marketing trend that helps a brand stand out by focusing on specific customer segments, such as demographic, geographic, psychographic, and behavioral data. It becomes much easier to uncover customer data when you work with one or a few customer segments and design marketing campaigns and predictive customer journeys specific to their unique needs. 15. Bridging Online, Offline & Mobile Experiences Today’s customers expect reputable brands to deliver a unified and seamless shopping experience across online, offline, and mobile channels. Brands must integrate every touchpoint - from websites and stores to mobile apps and social commerce - into one consistent journey. When customers can find and shop effortlessly across all platforms, satisfaction and loyalty naturally rise. Experience & Community-Based Marketing Trends Trust is a key element in modern shopping, as today’s consumers rely heavily on social proof and recommendations before making a purchase, especially online. 16. Creator Partnerships as Strategic Brand Assets Creator partnerships allow a brand to increase reach by leveraging creators’ popularity and loyal follower engagement. Creators typically promote a brand with their authentic voice and present products through storytelling. Partnering with creators is a potent fashion marketing trend that helps a brand build credibility and drive sales. 17. User-Generated Content (UGC) & Micro-Influencer Campaigns Brands should prioritize user-generated content (UGC) and micro-influencer collaborations to build authenticity and engagement. For example, brands like GoPro and Doritos have showcased how innovative UGC campaigns can build credibility and strengthen community ties. Such content builds trust and social proof more effectively than traditional ads. Instead of focusing solely on high-follower influencers, brands can partner with emerging creators who have highly engaged niche audiences that genuinely align with their values and products. 18. Experiential Events and Immersive Brand Activations Experiential events and immersive brand activations have become powerful marketing trends, especially within the apparel industry. By hosting interactive, multisensory experiences, like pop-up stores, in-store activations, or creative workshops, brands can engage customers directly with their products. These real-world interactions help turn passive shoppers into active brand advocates and create memorable emotional connections. Pro Tip: Turn 2026 Fashion Trends Into Revenue on Your PDPs One mistake brands make with trend reports is treating them like inspiration, not execution. Here’s how to operationalize 2026’s biggest fashion trends directly where conversions happen. Personalize the PDP, not just the homepage: Use Tolstoy AI Player to swap default product videos with shoppable clips based on shopper behavior and body type preferences. One PDP can feel custom without extra SKUs or creative work. Make inclusivity interactive: Instead of static size charts, add creator-led try-on videos across body types inside your PDP gallery. Let shoppers choose who they want to “shop with” and see fit in motion. Turn sustainability into proof, not copy: Embed short videos explaining fabric sourcing, repair tips, or circular programs directly next to “Add to Cart.” This builds trust without slowing purchase intent. Shoppertainment beats static discovery: Replace long product descriptions with tappable video chapters that answer common questions fast. Fashion Marketing Performance Benchmarks to Watch in 2026 It’s crucial to monitor and evaluate fashion marketing performance to identify the most effective channels and strategies. This table breaks down the key fashion marketing benchmarks to watch for: Performance Metric What It Is Why It’s Important Average Conversion Rate The percentage of conversions or purchases Indicates how effectively your website/store/page is turning visitors into customers. Average Order Value (AOV) The average amount of money spent per order. Helps brands understand their customers' spending habits and test the effectiveness of marketing strategies. Customer Retention Rate The percentage of customers who return to make another purchase within a set time period. Indicates a loyal customer base and lower customer retention costs. Engagement Rate on Social Campaigns The level of interaction (likes, shares, comments) on social media campaigns. Helps brands identify the success and popularity of their social campaigns. Cart Abandonment Rate The percentage of website shoppers who add items to their cart but leave without completing the purchase. Helps identify poor website or sales efforts and warns brands to optimize the sales process. Repeat Purchase Frequency The average number of times a customer makes a repeat purchase within a given period. Aids in identifying good campaigns and strategies that help build a loyal customer base. Video Completion Rate The percentage of viewers who watch a video from start to finish. Helps determine how engaging a video is to your target consumers. Customer Lifetime Value (CLV) The total revenue a customer is expected to generate during their relationship with your brand. Helps understand the long-term value of each customer to optimize marketing spend and focus on retaining high-value customers. Strategic Tips to Elevate Your Fashion Brand in 2026 To succeed in 2026, brands need a tailored strategy that aligns with evolving fashion marketing trends. Building a personalized roadmap ensures that every campaign feels relevant, engaging, and true to your brand’s identity. Below are key strategies to help elevate your fashion brand and stay ahead in a dynamic, competitive marketplace: Transform Static Content into Interactive Experiences: Brands should focus on turning static visuals into dynamic, immersive experiences that capture attention instantly. With Tolstoy AI Studio , brands can automatically transform product images into short, shoppable videos, bringing catalogs to life without manual editing. This makes it easier to showcase fabric textures, product details, or styling ideas in motion. Combined with AI virtual try-ons, GIFs, and interactive product videos, AI-powered visuals create a richer, more engaging shopping journey that keeps customers exploring longer. Personalize Every Customer Journey: Collect customer data ethically, with full consent, and use it to improve relevant touchpoints. Tolstoy AI Sales Agent supports guided product discovery through conversational questions, recommendations grounded in merchant product information, and visual try-on. Treat try-on output as visualization, not size or fit prediction. The Tolstoy fashion ecommerce guide maps these capabilities to specific fashion workflows and review steps. Blend Storytelling with Shoppertainment: Brands should opt for content that leverages strong storytelling and entertainment. Formats like creator-led fashion shows or interactive product videos capture attention and build emotional connection while keeping audiences entertained. Leverage Creator-Led Campaigns for Authenticity: Collaborate with creators who embody your brand values and engage niche communities. Their storytelling and relatability help drive authentic engagement and long-term trust. Integrate Interactive Video Analytics into Your Marketing Stack: Use interactive video analytics to understand how viewers engage with your content, what they click, skip, or replay. Apply those insights to refine storytelling, improve conversions, and optimize future campaigns. Align Sustainability Messaging with Transparency Tools: Including sustainability and ethical messaging in your marketing helps build trust among conscious customers and gain a competitive edge. Reimagine Post-Purchase Engagement Through Video: A great way to convert first-time buyers into loyal customers with how-to videos, product care tutorials, or styling tips, etc. How Tolstoy Elevates Fashion Marketing Trends Through Interactive Video Tolstoy is an AI commerce platform that helps eCommerce brands create interactive, shoppable video experiences that convert viewers into buyers. Tolstoy brings three AI-powered solutions together in one seamless platform, empowering fashion brands to engage, convert, and analyze in real time: Interactive Video & Shoppable Storytelling at Scale Transforms social and campaign videos into fully shoppable experiences , allowing customers to browse and purchase products directly from the video. Real-Time Engagement Metrics for Creator and Community Content Track real-time performance across creator and community content, including clicks, completion rates, and conversions. These insights help brands identify top-performing creators and formats that drive measurable sales impact. Seamless Integration with Social & Commerce Workflows Tolstoy integrates effortlessly with your eCommerce ecosystem, including Shopify, Klaviyo, and Tapcart, allowing interactive videos to connect directly to checkout, campaigns, and CRM workflows for a smoother customer journey. Conclusion Fashion marketing trends offer a clear path for brands to refine their strategies through insights into consumer behavior, digital transformation, and AI innovation. While emerging technologies are reshaping the landscape, influencer marketing and social media promotions remain essential pillars of growth. To succeed, brands must embrace new trends while tracking performance metrics that measure real impact and guide smarter, data-driven marketing decisions. --- # ChatGPT Shopify Integration: How It Works in 2026 URL: https://www.gotolstoy.com/blog/chatgpt-shopify Author: Samantha Becker | Published: 2025-10-15 Summary: See how the ChatGPT Shopify integration works in 2026 — in-chat shopping, Instant Checkout, and how to make your products discoverable in AI search. What is ChatGPT Shopify Integration? The ChatGPT Shopify integration is a feature that allows ChatGPT to function as an in-chat shopping platform by integrating directly with Shopify’s checkout and product listings. OpenAI has added a native purchase flow to the chat assistant, including product displays and call-to-actions like “buy now”, helping users buy ChatGPT-suggested products without leaving the chat. ChatGPT now supports a new in-chat shopping feature called Instant Checkout , which lets users buy certain products directly inside the chat, with no redirect needed. Currently, it works for U.S. Etsy merchants (free, Plus, and Pro users) via Stripe, and Shopify merchant support is coming soon. When a user asks for product suggestions, ChatGPT shows relevant items (unsponsored). For products enabled for Instant Checkout, a “Buy” (or “Buy Now”) button appears. The user confirms shipping and payment details in chat, and the order is passed to the merchant, who handles fulfillment. At launch, only single-item purchases are supported. Multi-item carts, additional merchants, and global expansion are expected next. How Does the ChatGPT Instant Checkout Work? ChatGPT returns product options across the web when you ask for product recommendations. Until now, users clicked out to merchant sites to purchase. With Instant Checkout, the process becomes seamless for supported products. Here’s how: Results: ChatGPT displays unsponsored product picks (ranked by relevance, not payment) in response to shopping prompts. Buy-in-chat: For eligible users and products (currently U.S. users buying from U.S. Etsy sellers), a “Buy” or “Buy Now” button appears. Users confirm shipping, payment, and order details directly in chat. Order Handoff: Once confirmed, ChatGPT passes the order details, such as, product choice, shipping, payment token, to the merchant via the Agentic Commerce Protocol (ACP). The merchant then accepts or declines the order, processes payment, and handles fulfillment using their existing systems. Payment & Fees: Payment is typically handled via Stripe, using a shared payment token system. Merchants pay a commission fee per completed purchase and the users pay only product cost. Constraints: Only single-item purchases are supported now. Multi-item carts and Shopify support are planned for future rollout. Release Timelines and Availability On April 28 , OpenAI announced that ChatGPT will launch a shopping feature that will enable users to discover product picks with buy buttons, allowing purchases directly in ChatGPT. At first, the shopping buttons appeared for all users, signed in or not, but purchases weren’t processed in ChatGPT. Clicking through sent shoppers to the merchant’s site to complete the checkout. Now, Shopify merchant sign-ups are open, and Instant Checkout is being rolled out. You can confirm eligibility in Shopify’s portal . Currently, the option is available to all U.S ChatGPT users (free, Plus, or Pro) interested in buying from Etsy. Shopify shopping capabilities are expected to roll out to U.S. buyers shortly, pending final readiness. Future updates include expanding to a global audience, multi-item carts, and more merchant integrations. Release Stage Timeline Availability ChatGPT Shopping Feature Announced April 28, 2025 Buy buttons visible; checkout initially off-platform Shopify Partnership Announced Sept 29, 2025 Merchant sign-ups available; Instant Checkout rolling out over the coming months Etsy In-Chat Checkout Live Oct 1, 2025 U.S. ChatGPT users can purchase in-chat Shopify Expansion Coming months (2025) Shopify merchants worldwide Multi-Item Cart & Expansion Future updates Global availability How to Prepare for the ChatGPT Shopify Integration? Preparation is about being machine-readable and policy-clear. Focus on structured product data, consistent availability/pricing, and basic tracking so assistants can find, describe, and route buyers reliably. 1. Ensure Product Data is AI-Ready Your products must be discoverable by ChatGPT, which depends on rich, well-structured product data. Add specific and clear titles Write descriptions in natural language Avoid keyword stuffing or jargon Mention key details like size, color, material, and ideal use cases 2. Train Product Content Around Buyer Intent Since ChatGPT understands natural language, traditional keyword optimization doesn't make products discoverable to AI. Merchants need to optimize the store with content written in natural, conversational language. Here are some key points to consider: Put yourself in users' shoes and identify the questions they might ask ChatGPT about your products. Give relevant prompts to ChatGPT to analyze its responses to optimize your content. Optimizing content isn’t a one-time job, which is why you need to make regular updates and required adjustments to stay up to date. 3. Enable Customer Reviews Product reviews, ratings, and user-generated content (UGC) might help products get recommended by ChatGPT. AI often considers products with positive reviews and ratings to be high-quality. Here is how to get started: Allows customers to leave reviews on your site Or use Shopify apps to surface third-party reviews Include a review schema to increase visibility 4. Keep Product Feeds and Pricing in Sync Product listings should be optimized with prices and availability, and not be vague. If you use tools like Google Merchant Center, Klaviyo product feeds, or Shopify JSON endpoints, send clean, structured data to these feeds. 5. Enable Instant Checkout and Track ChatGPT Referral To enable instant checkout, you can apply here: Instant Checkout for merchants in ChatGPT . OpenAI might introduce analytics dashboards or reporting features soon for tracking sales or interactions generated by ChatGPT. Make good use of these data/numbers to optimize your website content. 6. Evaluate Your Brand in ChatGPT Search Audit how ChatGPT mentions or recommends your brand. You can manually enter prompts to see ChatGPT’s response or use tools like Semrush AI SEO Toolkit to see the brand mentions you get from AI. After analyzing such data, optimize your content and product feed to become more AI-ready. 7. Adjust Marketing Strategies To increase your sales and conversions, incorporate more sales channels and optimize them for conversions. Alongside AI-readiness, optimize your e-commerce website for SEO and user-friendliness, create more blog posts, increase social engagement, and create user-generated content. Update and adjust your marketing strategy to stay on trend and become a first mover. Key Benefits of ChatGPT Shopify Integration for Store Owners This integration compresses discovery, evaluation, and checkout into a single conversation, reducing handoffs that cause drop-off. The points below outline where merchants typically see meaningful lift: Benefit Description Increased Sales and Conversions Shoppers can ask about products, get tailored recommendations, and complete checkout directly within ChatGPT. This removes any barrier between potential shoppers and checkout. Faster Transactions Instant Checkout reduces friction by keeping purchases in-chat where supported. Users can select any product they want with a simple prompt, choose sizes, and colors. Personalized Product Recommendations ChatGPT can offer personalized recommendations and guide users in making purchases based on their preferences and specific needs. Smarter Upselling and Cross-Selling ChatGPT Shopify integration automates upselling and cross-selling in chat, offering product recommendations based on the context of users' queries. Greater Visibility in AI Search Roughly 50 million shopping queries hit ChatGPT each day , and the Shopify integration lets merchants convert that in-chat demand directly. Challenges and Limitations of ChatGPT Shopify Integration Control and measurement are limited at launch, and AI phrasing won’t always match brand voice. The points below highlight the main constraints: Limited Control Over AI-Generated Responses: ChatGPT responds to queries based on its pre-trained models and external data sources, leaving merchants with little to no control over how responses are delivered. ChatGPT might fail to present or describe a product properly in line with a brand’s voice. Attribution Gaps in Conversational Conversions: Assessing the AI-driven performance and conversions is nearly impossible without proper tools or reporting features from ChatGPT. The AI can send traffic or help with in-chat sales. However, difficulty in analyzing responses or understanding how it works may lead to gaps in performance measurement. Data Privacy and Security Compliance: Integrating Shopify with ChatGPT could expose sensitive customer data if merchants do not handle it securely. Loss of customer trust, data breaches, and legal claims – these are just some of the issues that could arise if the system fails to secure customer privacy. The Future of E-Commerce in the AI Era Buying is shifting from keyword search to intent-led assistance. Forbes predicts that ChatGPT shopping will explode in the future, driven by the skyrocketing growth of ChatGPT and internet shopping. Brands that pair assistant-ready catalogs with strong trust signals on-site will convert that intent more consistently. Here’s what the future of e-commerce would possibly look like in the AI era: AI as a Sales Channel: AI-powered chatbots like ChatGPT might become a popular sales channel like Google SEO in the future. We might see more AI shopping with advanced features. AI-Powered Personalization at Scale: AI-powered personalization is already making shopping online more interactive and effortless. Use of such technology might soon explode and become mainstream. Balancing Automation and Human Touch: Content creators and brands could rely more on AI to automate tasks such as recommendations, customer support, and order management, while still adding a human touch for personalization. How to Boost Shopify Engagement and Sales with Tolstoy Beyond ChatGPT Tolstoy turns assistant-driven interest into on-site conviction. The capabilities below help shoppers see, compare, and buy faster, without adding friction to your storefront. For the agent setup path, see how to connect Tolstoy MCP to ChatGPT : AI Studio - High-Performing Content Creation: Tolstoy’s AI Studio helps store owners generate studio-like images and videos at scale using simple prompts. Brands can use the content for online stores, ads, and social media, eliminating the need for expensive photo shoots or multiple AI tools. Since ChatGPT prioritizes fresh content and webpages that were recently updated, leveraging Tolstoy AI Studio to automatically generate new images for product pages can result in higher visibility for your products. AI Player - Shoppable Videos: The AI Player allows brands to collect videos from social media and other sources and integrate them on the website. The Tolstoy player is optimized for LLM visibility, where each video gets its own JSON-LD schema with key details like title, thumbnail, duration, and upload date. The videos that appear on the page and feature products pass that context directly to search engines, and any video carousel or feed is marked up as organized lists, improving how they are seen by AI models. AI Sales Agent - Personalized Shopping Assistance: Tolstoy’s AI Sales Agent is a brand-aware AI sales chat agent that guides customers intuitively to a purchase. It converses with customers, recommends products, and offers virtual try-on experiences. The AI Sales Agent automatically identifies knowledge gaps based on customers' questions and helps the brands improve their product pages for greater AI visibility. Conclusion Chat-led shopping is moving discovery and checkout into a single conversation, and Shopify brands should plan for it now. The upside goes to stores with AI-ready catalogs, and on-site experiences that quickly confirm a buyer’s choice. It is important to treat this as a program: track assistant-referred sessions, test content that mirrors natural queries, and expect attribution and policies to evolve. Tolstoy helps close the last mile by turning intent into confident decisions with its AI tools. --- # AI Model Photos: The Future of E-Commerce Content URL: https://www.gotolstoy.com/blog/ai-model-photos-for-products-the-future-of-e-commerce-content-creation Author: Tolstoy Team | Published: 2025-08-19 Summary: Create stunning, on-brand product photos in minutes with AI. Discover how AI model photos are transforming e-commerce content creation and scaling growth. In today’s digital-first retail landscape, visuals are the front line of commerce. For e-commerce brands, the quality and variety of product photos can make or break a shopper’s decision to buy. But producing professional-grade images at scale has always been expensive, time-consuming, and logistically complex. That’s where AI model photos for products enter the scene. By combining generative AI with brand-specific training, retailers can now transform a single flat lay or pack shot into a full campaign’s worth of on-model, lifestyle, and editorial imagery, without ever stepping into a studio. The result? High-converting product visuals that are cheaper, faster, and more consistent than traditional photoshoots. At Tolstoy , we’ve taken this revolution one step further with Tolstoy AI Studio : the creative engine powering some of the fastest-growing brands in the world. Why AI Model Photos Are Reshaping E-Commerce Shoppers today expect to see products in context: on real people, styled in lifestyle settings, and adapted across platforms from PDPs to TikTok. Meeting this demand used to require entire production teams, multiple shoot days, and costly reshoots every time a new SKU or variant launched. AI changes that equation: On-model without the model : AI generates consistent, photorealistic models that can showcase every product in your catalog across multiple poses, angles, and demographics. Infinite creative testing : Need holiday, summer, or back-to-school variants? Swap settings, outfits, or backgrounds instantly without rebooking a shoot. Faster time to market : Launch campaigns in hours, not weeks, and stay ahead of seasonal trends. Lower costs : Replace thousands of dollars in production fees with AI generations that scale at a fraction of the price. The message is clear: AI model photos turn product photography into a scalable, always-on capability rather than a costly bottleneck. Introducing Tolstoy AI Studio: Your Brand’s Creative Director While many tools can generate AI images, only Tolstoy AI Studio is purpose-built for e-commerce at scale. Think of it as your AI creative agent —a virtual brand director trained to understand your catalog, style guidelines, and performance goals. What makes AI Studio different? Sync – Directly integrates with your catalog and brand assets, so every photo is instantly on-brand. Analyze – Reviews your inputs and crafts smart prompts using the best AI models—no prompt engineering required. Bulk Generate – Creates polished, professional assets for every SKU, variant, and channel in seconds. Moderate – A collaborative flow for approving, tweaking, or regenerating assets with a click. Publish – One-click publishing pushes assets to PDPs, PLPs, emails, and socials—no workflow friction. With AI Studio, what once took weeks of planning and production is now campaign-ready in minutes . To see what AI model photos could look like for your products, book a free AI Studio demo . From Flat Lay to Full Gallery One of the biggest challenges brands face is producing on-model images for every product. For apparel, accessories, and beauty brands in particular, this has always been the gold standard for conversion—but also the hardest to scale. Tolstoy AI Studio solves this with Flat Lay In, Full Gallery Out : Start with a single product image. Generate a complete on-model shoot: front, back, close-up, lifestyle, editorial. Ensure consistency across every SKU—so no matter how large your catalog, every product looks like it was shot in the same studio. This isn’t just about saving time; it’s about elevating brand consistency and creating a seamless shopper experience across your store. Static Images Become Scroll-Stopping Videos Another unique advantage of AI Studio is the ability to animate your catalog at scale . With one click, static product images are transformed into short-form videos, complete with motion graphics and proven ad templates. Why does this matter? Because in today’s social commerce ecosystem, video outperforms static content almost everywhere: PDPs with video see higher add-to-cart rates. Social ads with motion drive better engagement and lower CPA. Email campaigns with embedded video earn higher CTRs. By turning your static catalog into high-performing product videos , AI Studio ensures you’re not just keeping pace with consumer expectations—you’re setting the standard. Conversion-Optimized Templates, Daily Beyond the visuals themselves, what sets Tolstoy apart is our focus on conversion . AI Studio delivers fresh, personalized templates daily, designed around real e-commerce performance data. That means every output isn’t just on-brand—it’s also optimized for: Platform-specific formats (Shopify PDPs, Instagram Reels, TikTok ads, email banners). Engagement triggers (motion graphics, callouts, seasonal styling). Conversion lift (structured layouts proven to increase clicks and add-to-carts). The result: creative that’s not only beautiful, but also effective. Why 2,000 Brands Trust AI Studio AI Studio isn’t just theory—it’s already powering results for thousands of brands. The reason is simple: All the leading AI engines, pre-trained on your brand – so every generation reflects your style and product details. Seamless workflow integration – one-click publishing with zero bottlenecks. Performance analytics – detailed insights on which creatives are driving engagement and sales. Scalability without added costs – launch high-quality visuals for every SKU without scaling your creative team. Whether you’re a DTC startup or a global retailer, AI Studio helps you keep content fresh, relevant, and conversion-ready. For teams scaling this workflow, it also helps to build an AI content review workflow so each generated visual stays accurate, brand-safe, and channel-ready. The Bigger Picture: Tolstoy’s AI Commerce Platform While AI Studio is the creative engine, it’s part of a bigger story. Tolstoy is the only AI commerce platform that brings together content creation, shoppable distribution, and conversational conversion. Tolstoy AI Studio – Instantly generate on-brand images and videos for every SKU. Tolstoy Player – Embed shoppable videos across PDPs, emails, and mobile apps, turning browsing into buying. Tolstoy Personal Shopper – Your brand’s ChatGPT, trained on your catalog to recommend, upsell, and convert in real time. Together, these products transform passive browsing into high-impact buying experiences —the future of AI-driven commerce. Final Thoughts: The Age of AI Model Photos AI model photos are no longer a novelty—they’re fast becoming the new standard for e-commerce. As brands fight for attention across crowded marketplaces, the ability to generate on-model, lifestyle-ready, and video-enabled content at scale is a competitive edge you can’t afford to ignore. With Tolstoy AI Studio, that edge is now within reach of every brand. You don’t need studios, reshoots, or endless workflows. Just sync your catalog, let the AI do the heavy lifting, and launch assets that look like they took weeks—but only took minutes . E-commerce has always been about removing friction from shopping. Now it’s about removing friction from content creation, too. And with AI Studio, the era of endless photo shoots is over. --- # How to Generate AI Product Videos for Instagram at Scale URL: https://www.gotolstoy.com/blog/how-to-generate-instagram-ready-ai-e-commerce-videos-at-scale Author: Tolstoy Team | Published: 2025-08-19 Summary: Create Instagram-ready product videos in seconds. Learn how AI helps e-commerce brands scale video creation, boost engagement, and drive more sales. Instagram has become the global storefront for modern brands. With 2 billion monthly active users and an algorithm that favors short-form video, it’s where shoppers discover products, compare styles, and make purchase decisions. The challenge? Keeping up with the constant demand for fresh, scroll-stopping video content without ballooning creative budgets or exhausting your team. This is exactly where AI-powered content generation changes the game. Tolstoy’s AI Studio and AI Player are designed specifically for commerce teams who need to transform static product catalogs into high-converting videos for Instagram and beyond. Together, they let brands animate their catalogs at scale, publish campaign-ready visuals instantly, and embed shoppable video experiences that actually convert. Why Instagram Demands Video-First E-Commerce Content Instagram has shifted decisively from still images to video. Reels now account for the majority of engagement growth, and Meta reports that Reels drive a 24% increase in time spent on Instagram. For e-commerce brands, that translates directly into opportunity... if you can deliver video fast enough. Video wins on Instagram because it: Captures attention immediately. Motion makes products feel tangible, whether it’s fabric flowing, packaging opening, or ingredients mixing. Tells stories in seconds. A product demo or before/after sequence communicates more in 10 seconds than a carousel of photos can. Drives algorithmic reach. Instagram’s ranking systems reward Reels and video posts with more impressions. The takeaway is simple: static PDP images aren’t enough. If you want to win Instagram, you need video—and lots of it. AI Studio: Your Brand’s Creative Director Tolstoy’s AI Studio was built from the ground up for e-commerce brands that need high-performing creative at scale. Think of it as your brand’s always-on creative director and content engine. Catalog-Synced. Studio syncs directly with your product catalog and brand assets, so every video and image reflects your exact inventory, SKUs, colors, fonts, and tone. Animate Products Instantly. Static catalog shots become scroll-stopping videos—perfect for Instagram Reels, Stories, or PDP galleries. One-Click Ads & Social Content. Choose from proven Instagram ad and social templates. Studio auto-generates campaign-ready visuals with motion, graphics, and text overlays. Bulk Generation at Scale. Upload a single flat lay and get back a full gallery: front, back, lifestyle, editorial, and on-model variations—consistent across every SKU. Collaborative Workflow. Approve, tweak, or regenerate assets in a simple moderation flow. Publish instantly across PDPs, PLPs, email, and social. With Studio, brands no longer spend weeks coordinating shoots. Instead, they generate campaign-ready visuals in seconds. Best Practices for Instagram-Ready AI Videos 1. Design Mobile-First Instagram is mobile-native. Generate videos in 9:16 for Reels and Stories, then repurpose into 1:1 for feed posts. 2. Capture Attention in the First 3 Seconds Instagram’s scroll is ruthless. AI Studio can help auto-generate strong openings—bold hooks, product close-ups, or animated text that locks attention immediately. 3. Use Templates to Stay Fresh Freshness matters on Instagram. Studio offers personalized templates refreshed daily , optimized for conversion. Rotate creative frequently to avoid fatigue. 4. Always Stay On-Brand Generic AI outputs kill trust. Studio ensures every video adheres to your visual guidelines, logo placement, and brand voice—no “AI sameness.” 5. Test, Learn, Optimize Generate multiple video variants and measure CTR, engagement, and conversions. Studio provides detailed performance analytics , so you know which creatives lift ROAS. AI Player: From Instagram to Checkout Instagram drives discovery, but purchases often close on your site. That’s where Tolstoy AI Player comes in: the #1 shoppable video solution for e-commerce. Transform PDPs. Replace static galleries with dynamic media that adapts to each shopper—by location, behavior, or preference. Shoppable Video Everywhere. Auto-import clips from TikTok, Instagram, or Studio. Tag products automatically with AI and enable seamless in-video checkout. Publish to supported shopping channels. Tolstoy can publish selected video to TikTok Shop through the web app and to Shop App when Shopify marks the store as eligible. Conversion Uplift. Brands using AI Player see up to 307% higher conversion rates , 4x more time on site, and 3x AOV uplift. The synergy is powerful: Studio generates the Instagram-ready videos, Player embeds them across your e-commerce site and partner networks, ensuring shoppers move seamlessly from scroll to sale. Real-World Use Cases Beauty Brands. Turn shade swatches into on-model video demos, complete with before-and-after sequences. Apparel. Animate flat lays into lifestyle videos and let shoppers choose models that match their body type. Home Goods. Replace still furniture shots with 3D-like rotations and in-room context. Supplements. Auto-generate explainer videos showing benefits, dosage, and results. Jewelry. Style-by-you carousels that build trust and drive engagement on Instagram. SEO and E-Commerce Impact Beyond Instagram engagement, AI-generated video boosts your overall performance: Higher dwell time on PDPs. Shoppable video increases session length and decreases bounce rates. Improved search rankings. Google surfaces video in shopping results; metadata boosts SEO. Rich snippets. Video integration earns premium placement in SERPs. By unifying Instagram-first creation with site-wide embedding, Tolstoy ensures video drives both visibility and conversion. Overcoming Objections “AI looks fake.” Studio generates photorealistic outputs tuned to your brand’s guidelines, so assets look authentic, not generic. “We don’t have time for new tools.” Studio’s one-click workflow requires zero editing expertise. “We can’t afford video at scale.” Tolstoy makes premium content affordable by replacing shoots and manual editing with automated, catalog-synced creation. The Future: AI Commerce at Full Scale The future of e-commerce isn’t about static product photos. It’s about dynamic, personalized, shoppable video experiences that meet shoppers where they are—on Instagram, product pages, and supported shopping channels. With Tolstoy: AI Studio animates your catalog into Instagram-ready content. AI Player embeds those videos across your site, app, and syndication network. Together, they transform passive browsing into active buying. Conclusion Instagram sets the pace for modern commerce. If your brand wants to keep up, video isn’t optional—it’s the core of your growth strategy. But scaling video the old way is unsustainable. Tolstoy solves this with AI Studio —your on-brand creative agent for instant, high-converting visuals—and AI Player , the most advanced shoppable video solution for e-commerce. Together, they give you a repeatable engine for Instagram-ready content that converts across every channel. The message is clear: stop chasing the content treadmill. Start generating, animating, and embedding videos that are always fresh, always on-brand, and always driving revenue. With Tolstoy, your next Instagram-ready campaign can be live in seconds. --- # Train AI Agents for Ecommerce FAQs That Convert URL: https://www.gotolstoy.com/blog/how-to-train-ai-agents-for-ecommerce-product-faqs Author: Tolstoy Team | Published: 2025-08-19 Summary: Learn how to train AI agents to handle ecommerce FAQs that convert. Automate product answers, boost sales, and enhance customer experience effortlessly. How to Train AI Agents for Ecommerce Product FAQs When a shopper lands on your product page, they usually have three questions in mind: Does this fit me? When will it ship? Can I return it easily? If those questions go unanswered, they leave. If they’re answered instantly, in context, and with the option to act—your conversion rate soars. That’s why training AI agents to handle product FAQs has become one of the highest-leverage moves in ecommerce today. At Tolstoy , we’ve built this capability directly into AI Sales Agent : your brand’s ChatGPT, designed to chat, recommend, and sell in real time. AI Sales Agent is trained instantly on your catalog and brand rules, surfaces the top FAQs per product right on the PDP, and turns answers into actions like virtual try-on, size recommendations, and add-to-cart upsells. This guide shows you how to train AI agents for ecommerce FAQs , with strategies, best practices, and examples you can apply today. Why FAQ Training Drives Conversions Ecommerce FAQs cluster around a few key themes: Product fit and use (size, care, compatibility) Shipping and logistics (timing, international availability) Policies (returns, exchanges, warranties) Order status (tracking, cancellations) Recommendations (cross-sells, styling advice) Traditionally, brands bury these in a help center or static PDP section. But modern shoppers expect immediacy . They want real-time, conversational answers without leaving the shopping flow. AI Sales Agent automates this: surfacing the top 3 FAQs per product, generating answers from your catalog and rules, and letting you edit for tone. It’s not just deflection; it’s conversion fuel. Step 1: Audit and Prioritize Your FAQs Start by gathering real data: Pull transcripts from live chat or email tickets. Review search queries on your help center. Look at product-page questions shoppers already ask across social media and PDP Q&A; widgets. Cluster questions into intents like sizing, returns, shipping, promotions . Identify the top 3 per product ; these are the friction points most likely to block purchase. Tolstoy AI Sales Agent does this automatically by analyzing your catalog and customer interactions, but your manual audit ensures coverage and brand alignment. Step 2: Ground Responses in Product Data An AI agent is only as good as its grounding. Generic answers like “Yes, we ship internationally” don’t close sales. Instead: “We ship to Canada, the UK, and 40+ countries. Orders arrive in 7–10 business days, with duties calculated at checkout.” AI Sales Agent connects directly to your product catalog, inventory, and brand policies, so answers reference real SKUs, sizes, stock levels, and shipping estimates. That means every FAQ response is live, accurate, and actionable. Step 3: Write in Your Brand Voice A premium skincare brand shouldn’t sound like a streetwear label. Training FAQs is as much about tone as about facts. Luxury brand: “This serum is crafted in small batches in France. It’s available now, with 2-day shipping included.” Athletic brand: “Yep—ships fast, usually in 2–3 biz days. If the fit’s off, you can swap no problem.” With AI Sales Agent, you set brand guardrails , ensuring every answer follows your voice and logic. No off-brand replies, no hallucinations. Step 4: Add Actions, Not Just Answers Static answers inform. Great AI agents drive action. Examples: Fit question: “This dress runs true to size. Want to try it on virtually?” → launches See It On You. Return policy: “We offer 30-day hassle-free returns. Want me to start the process now?” Styling query: “These sneakers pair great with our cargo joggers. Want to see the full look?” → Complete the Look cross-sell. AI Sales Agent turns every FAQ into a conversion moment : letting shoppers act without leaving the chat or page. Step 5: Train With Guardrails AI agents need boundaries. Define: Scope: “Answer only product and policy questions.” Exclusions: “Never give medical, financial, or competitor comparisons.” Fallbacks: “If unsure, escalate to a human or link to a help article.” AI Sales Agent automates this with built-in guardrails, so answers are safe, accurate, and always in-brand. Step 6: Continuously Test and Refine Training isn’t one-and-done. Best practice is a feedback loop: Monitor usage: Which FAQs resolve instantly vs. escalate? Refine answers: Edit top questions as policies, promotions, or sizing guidance evolve. Add new FAQs: As new products drop or patterns emerge, train new answers. Measure impact: Look at ticket deflection, conversion lift, and AOV increases. AI Sales Agent makes this easy by surfacing usage analytics and letting your team edit FAQs directly. Step 7: Connect FAQs to Personalization The future of FAQ training isn’t just answering; it’s personalizing. With AI Sales Agent: Signed-in customers get answers tailored to their size, past orders, and preferences. “Find Your Size” recommends the right fit based on measurements. “See It On You” lets them visualize products in context. Data flows into Klaviyo, Attentive, or Gorgias for smarter lifecycle marketing. Each FAQ answered becomes first-party data captured , fueling segmentation and retention downstream. Common Mistakes to Avoid Copy-pasting web copy. Customers need conversational clarity, not marketing jargon. One-time setup. FAQs must evolve with your catalog and policies. Isolated bots. If your AI isn’t connected to product data, it can’t close sales. Ignoring brand tone. Off-brand replies erode trust faster than no reply at all. The Tolstoy Advantage Most FAQ bots answer questions. AI Sales Agent sells. Top Questions: Automatically surfaces the FAQs most likely to drive conversion—editable by your team. Virtual Try-On: See It On You, Find Your Size, and Complete the Look turn answers into interactive experiences. Upsell & Checkout: Shoppers can add to cart directly within chat. Zero Setup: Trained instantly on your catalog and rules, no manual training required. Integrations: Shopify, Klaviyo, Gorgias, Attentive, GA4, Tapcart—AI Sales Agent fits into your stack. Data & Insights: Every answered FAQ fuels CRM, segmentation, and analytics. Results speak: brands see 10x conversion uplift, 150% AOV increase, and 11x conversion from engaged shoppers. Conclusion Training AI agents for ecommerce FAQs is no longer about deflection. It’s about turning customer questions into conversion levers. With AI Sales Agent, FAQs stop being static text on a page and become live conversations : surfaced automatically, answered in your brand’s voice, and tied directly to shoppable actions. The outcome: higher conversion rates, higher AOV, happier customers, and a feedback loop of rich first-party data. If you’re ready to transform FAQs from a cost center into a sales driver, it’s time to put AI Sales Agent to work . Get started with Tolstoy AI Sales Agent for free—and see how answers can start selling. --- # Boost E-Commerce Sales with AI Lifestyle Product Images URL: https://www.gotolstoy.com/blog/ai-lifestyle-product-images-the-future-of-e-commerce-conversion Author: Tolstoy Team | Published: 2025-08-18 Summary: Generate high-quality lifestyle product images instantly with AI. Discover how AI visuals boost e-commerce conversion, engagement, and brand storytelling. In today’s e-commerce landscape, great products are not enough. Shoppers expect immersive experiences, polished visuals, and personalized storytelling that mirrors in-store discovery. Lifestyle photography—images that showcase products in real-world settings—has always been one of the strongest levers brands can pull to boost conversion. The challenge? Traditional lifestyle shoots are expensive, slow, and nearly impossible to scale across every SKU, variant, or season. That’s where AI lifestyle product images enter the conversation. With AI, brands can generate studio-grade, on-brand visuals instantly—without shipping samples to a photo studio or coordinating weeks of production. The result: better assets, more campaigns, and higher conversion, all at a fraction of the cost. This article explores why AI lifestyle product images are changing the game for e-commerce, how they fit into a broader AI-commerce strategy, and why platforms like Tolstoy are leading the way. What Are AI Lifestyle Product Images? AI lifestyle product images use generative AI models to transform a basic catalog photo, often a simple packshot on white, into a finished image that places the product in a real-world, branded context. Examples include: A candle staged on a marble countertop with soft evening lighting. A pair of sneakers styled on a city street with motion blur and natural shadows. A lipstick photographed against a textured surface that reflects the brand’s aesthetic. Instead of relying on expensive photo shoots, AI tools generate dozens of variations instantly. Brands can select, refine, and publish the best-performing creatives across product detail pages (PDPs), ads, social media, and emails. Why Lifestyle Images Drive Conversion E-commerce studies consistently show that lifestyle visuals outperform plain packshots. Here’s why: Context = Relevance Shoppers want to see how a product fits into their life. Contextual images remove friction, help customers visualize usage, and reduce doubt before purchase. Emotional Connection Lifestyle imagery triggers emotions: aspiration, belonging, trust. This connection is difficult to replicate with flat catalog photography. Brand Differentiation Generic packshots are a race to the bottom. Lifestyle content communicates brand voice, aesthetic, and quality. Multi-Channel Flexibility Lifestyle images aren’t just for PDPs. They fuel ads, social campaigns, and email marketing—touchpoints where visuals often decide the click. When brands fail to invest in lifestyle content, they leave money on the table. The problem is scale: creating thousands of high-quality, on-brand lifestyle images for every SKU has historically been cost-prohibitive. How AI Solves the Lifestyle Image Bottleneck AI bridges the gap between the need for lifestyle content and the cost of producing it. With platforms like Tolstoy AI Studio , brands can: Generate images instantly : Upload a product photo, choose a prompt or template, and receive dozens of lifestyle-ready options. Stay on-brand : AI models can be tuned to a brand’s specific aesthetic, whether minimal, maximalist, natural, or luxury. Scale across the catalog : Every variant, every colorway, every seasonal SKU gets a full creative set without additional effort. Test and iterate : Run multiple creative options, analyze engagement, and double down on what converts. The result is a flywheel: more assets → more campaigns → more data → more conversions. The SEO Advantage of AI Lifestyle Images Beyond conversion rate optimization, AI lifestyle product images bring a powerful SEO edge. Search engines increasingly reward visual-rich, engaging PDPs that reduce bounce rates and increase time on site. Key benefits include: Higher engagement metrics : Lifestyle images keep shoppers scrolling, clicking, and zooming; signals that improve search ranking. Image search optimization : Google Images surfaces lifestyle-rich product photos more often than generic white-background packshots. Improved social sharing : Lifestyle creatives are more likely to be pinned, saved, or shared, driving backlinks and organic reach. When paired with optimized alt-text and metadata, AI lifestyle visuals strengthen a brand’s discoverability across channels. Where AI Lifestyle Images Fit in AI Commerce AI lifestyle images are powerful on their own, but they become transformational when integrated into a broader AI-commerce ecosystem . That’s where Tolstoy stands apart. Tolstoy is an AI-commerce platform built around three tightly integrated products: Tolstoy AI Studio Generate instant, on-brand product images and videos—including lifestyle shots. AI Studio transforms static catalog data into high-impact creative libraries. Tolstoy Player Embed shoppable videos across your website, mobile app, email, and even Shopify’s Shop app. Player turns static browsing into interactive, conversion-driven journeys. Tolstoy Personal Shopper Your brand’s ChatGPT, trained on your catalog and FAQ. Customers chat, explore, and get personalized product recommendations: guided all the way to checkout. Together, these tools don’t just create assets; they turn passive browsing into high-impact buying . Imagine a skincare brand: AI Studio generates lifestyle images of each product in spa-inspired environments. Player embeds a shoppable video showing how a full routine looks in action. Personal Shopper guides the customer toward the right regimen through chat. This is the future of AI commerce: integrated, visual, personalized. Best Practices for Using AI Lifestyle Product Images To maximize results, brands should treat AI lifestyle imagery not as a replacement for creative strategy, but as an accelerator for scale . The process looks like this: 1. Sync Start by syncing with your catalog and brand assets. The AI should recognize your product details, variants, and visual identity, ensuring every generated image feels authentically “you.” 2. Analyze Let the AI review your inputs and apply smart prompting. Instead of manual setup, it automatically selects the best product angles, brand tones, and lifestyle contexts for each asset. 3. Bulk Generate Produce polished, on-brand lifestyle content at scale. From seasonal campaigns to evergreen PDP heroes, AI enables brands to generate hundreds of variations in minutes—not weeks. 4. Moderate Human curation still matters. Approve, tweak, or regenerate assets in a simple collaborative flow, ensuring every output meets your brand standard before publishing. 5. Publish Don’t let lifestyle visuals sit in folders. Push them live across PDPs, PLPs, email, and social; directly from the platform. For maximum impact, integrate lifestyle content with shoppable video and AI-powered personal shopping experiences. The ROI of AI Lifestyle Content Brands adopting AI lifestyle images report significant ROI: Faster go-to-market : Launch campaigns in hours, not weeks. Lower cost-per-asset : Replace $5,000 photo shoots with near-zero marginal cost per image. Higher conversion : PDPs with lifestyle imagery consistently outperform plain packshots by double-digit percentages. Content abundance : More creative variation fuels better performance across paid and organic channels. In an environment where ad costs are rising and consumer attention is scarce, creative volume and quality are the new growth levers . AI lifestyle product images unlock both. The Bottom Line AI lifestyle product images are more than a design shortcut—they’re a strategic growth driver. They let brands deliver polished, contextual, on-brand visuals at scale, fueling everything from PDP conversion to SEO to paid ad performance. But images alone are only the beginning. The real opportunity lies in AI commerce platforms like Tolstoy that integrate image generation with shoppable video and personalized shopping assistants . E-commerce is shifting from static catalog pages to dynamic, immersive buying journeys . Brands that embrace AI lifestyle imagery today won’t just look better online—they’ll sell more, faster, and with greater impact. About Tolstoy Tolstoy is an AI-commerce platform built around three tightly integrated products: AI Studio : instant, on-brand product video and image generation Player : shoppable video embeds that convert everywhere Personal Shopper : your brand’s AI assistant, trained to chat and convert Together, Tolstoy’s AI tools turn passive browsing into high-impact buying. For a walkthrough of lifestyle image generation for your catalog, book a free AI Studio demo . --- # How to Make Product Videos for Ecommerce at Scale URL: https://www.gotolstoy.com/blog/product-videos-for-ecommerce Author: Tolstoy Team | Published: 2025-08-14 Summary: Learn how to make professional product videos at scale. Engage shoppers, build trust, and grow ecommerce sales with Tolstoy’s AI tools. Your ecommerce product images show what an item looks like. Videos convey what it feels like to own it, from how a fabric drapes to the way a blender crushes ice. That difference is why 73% of online shoppers are more likely to buy after watching a product video. Despite this clear advantage, many ecommerce sites today still use rows of nearly identical product shots on their display pages. How come? Because until recently, creating effective product videos was notoriously expensive and time-consuming. But that’s no longer the case. Thanks to tech advances and AI, you no longer need high-end studio gadgets or a dedicated production crew to make your products come alive on screen. This article breaks down what makes a great product video for ecommerce, which types drive results, and how you can start creating them quickly without massive production resources. What Makes a Great Product Video For Ecommerce Brands An ecommerce product video is a short, focused visual story about a specific item you sell. It shows your product in motion, highlighting its features, and often demonstrating how it works in everyday situations. These videos give your customers the closest possible experience to inspecting a product firsthand or seeing a live demonstration in a physical store. They answer the unspoken questions that static photos simply can’t, such as: How does the fabric fall when you move? Does the clasp snap shut or stay loose? How big is this item compared to everyday objects? What does the product look like from different angles? Take the Greats footwear brand , for example. In roughly 30 to 60 seconds, their product videos feature models wearing their sneakers in everyday settings and sometimes flexing the sole to show flexibility: Source: Greats You’ll usually find ecommerce product videos: As product detail page video widgets to replace or complement image galleries On homepages or collection pages to showcase multiple items In emails or SMS flows as dynamic callouts In retargeting ads across TikTok, Meta, or YouTube As social-first product previews For ecommerce stores (and especially fashion brands), product videos have gone from optional extras to becoming the baseline expectation to engage and ultimately convert buyers today. Why Product Videos Work: The Stats and Shopper Psychology When today’s shoppers land on your product page, they rarely read every word of your product specs. Instead, they scroll, skim, pause, and decide (usually in the space of a few minutes). A well-placed video meets them in that moment, showing them precisely what they need to know fast. That’s one key reason why product videos consistently outperform text and images alone. In a 2025 study by Wyzowl , 84% of video marketers say video has directly increased sales: Source: Wyzowl Another study from Saleslion found that when added to a landing page, videos have been shown to increase conversions by up to 80%, depending on the quality and placement. Beyond persuading, videos also bring clarity. They show motion, texture, scale, and pretty much anything else you’d get from handling an item in-store. That builds confidence and lessens hesitation. For fashion brands especially, it shows true-to-life fit across sizes and body types. There’s also the mobile edge . Over 75% of US adults spend up to two hours watching short-form video content each day. Video catches the eye quicker and doesn’t rely on zoom features or long copy. If your site is mobile-first, video is a smarter use of space. The 6 Most Effective Types of Ecommerce Product Videos What convinces someone to buy a face serum isn’t always the same as what moves them toward a carry-on suitcase. The best brands tailor their video format to the product and the shopper. Below are six of the most impactful video formats in ecommerce today, each with a distinct purpose and a clear reason they work. Demo Videos Demo videos are among the most direct formats in ecommerce. They simply show how the product works. This approach takes out the guesswork and lets shoppers envision how the product fits into their day. Brands like Our Place do this beautifully. Their Always Pan videos show someone effortlessly cooking, flipping, and pouring, making the pan feel versatile and ready for your kitchen. Source: Our Place These demos are especially helpful for beauty, wellness, kitchenware, tools, and any product that benefits from being shown in use rather than just described. 360-Degree Spin or Motion Shots For more tactile categories like apparel, accessories, or footwear, 360° spin or motion shots are great formats to adapt. They let customers get a sense of proportion and form. You’ll often see this format on ecommerce sites like Allbirds , where shoes rotate slowly on a neutral background so you can see the sole, stitching, and profile, all in one seamless motion. Source: Allbirds Simplicity is the edge here. With just a few seconds of controlled movement, shoppers get the closest thing to holding the item in their hands. UGC-Style Clips UGC-style clips are everywhere now, and for good reason. They mimic what shoppers are already used to seeing on TikTok or Instagram. Things like people talking to the camera, unboxing something, or casually trying it out in their bedroom. The tone is light and informal. These videos feel authentic, even when they’re produced intentionally to appear that way. Glossier, for instance, often uses content that feels pulled straight from a customer’s story: natural light, hand-held framing, and real skin application. Source: YouTube Even when brands use AI avatars or scripted scenes, keeping the energy casual helps the content blend delightfully into social feeds and ad placements. Try-on and Lookbook Videos A pair of pants can look completely different on different bodies, in different poses, or under different lighting. Try-on videos address this by showing the same item on multiple models, walking, turning, and stretching, so shoppers can picture how it’ll work for them. Brands like Parade have leaned into this format lately, often showing models of different body types wearing the same piece to help set expectations: Source: Parade Lifestyle Montage Videos Lifestyle videos are more about mood and authentic storytelling . These clips place your product in a wider scene, be it a living room, a morning routine, or a quick weekend getaway. The idea is to make the viewer want to step into that world. For example, Fellow Products often pairs close-ups of their sleek coffee gear with shots of a calm morning ritual: slow pouring, sunlight, and steam rising. The product is still the hero, but the feeling is what sticks. Source: Fellow Products This type of video works especially well for home, wellness, fashion, and premium goods, where lifestyle aspiration plays a key role in buying decisions. Feature Highlight Videos Feature highlights focus on one specific selling point in a fast, punchy way. Think of it as a close-up with intent. It could be a magnetic clasp, a removable liner, a water-resistant zipper, or anything else that tips the scale in your product’s favor. Bellroy, known for its streamlined tech accessories, often uses short clips that zoom in on hidden compartments or slick pull-tabs with subtle on-screen labels. These videos don’t over-explain. They just show the detail up close and let it speak for itself. Source: Staples Canada Tolstoy: Your Platform for Ecommerce Product Video Generation Tolstoy is an AI video generation platform designed specifically for ecommerce and built to tackle the “scale problem” head-on. It connects directly to your product catalog, intelligently selects the best shots, and uses sophisticated automation to generate and publish shoppable videos in just a few clicks. The results are tailored to your audience and look professionally shot: Fashion brands get try-on videos with AI models in different sizes and skin tones, complete with full usage rights. Product catalogs get 360° spins generated from existing photos. Background replacements turn basic white-background shots into lifestyle scenes. And on and on it goes. You can also batch-create videos (like generating 50 videos for 50 products simultaneously), then review and approve from a single dashboard. You don’t need to script or edit anything if you don’t want to. Tolstoy handles it all behind the scenes using the most sophisticated software. Not yet convinced? Why not check out some of our customer stories on Shopify? Source: Shopify App Store Plus, as an official Built-for-Shopify partner, Tolstoy offers direct integration. Everything is published directly to your Shopify store, email/SMS campaigns, and social channels with one click. Get in touch today . If your team needs product videos across a large catalog, book a free AI Studio demo . Key Takeaways Good ecommerce product videos go beyond looking nice to help shoppers close the gap between interest and confidence. They show, instead of telling. And in a world where attention spans grow shorter, a good product video can be the difference between “add to cart ” and “exit tab.” The brands winning this race aren’t necessarily the ones with the biggest budgets. They’re the ones who recognized that video creation is now more accessible than ever before and capitalized on it. Tolstoy makes that part simple. You don’t need a studio-level investment; just your product shots. Our platform handles the rest, from video generation to publishing, all in one clean, automated flow. Start with Tolstoy for free today . --- # 3 Best Shopify Themes With Video Headers URL: https://www.gotolstoy.com/blog/best-shopify-themes-with-video-headers Author: Ali Shah | Published: 2025-08-14 Summary: Discover the 3 best Shopify themes with video headers to boost engagement, showcase products, and create an immersive store experience. Video headers are a prominent web design trend that can provide several benefits for your Shopify business, like offering an immersive customer experience and a great way to promote your brand image and products. The Shopify theme with a video header that you choose for your business should be based on your store's specific qualities and aims. While there are various themes to choose from, your ideal pick should be one that best showcases your store's benefits and provides visitors with a remarkable browsing experience. » Looking to draw in customers? Here's how to create engaging product videos Key Takeaways Motion: Best for product-first brands . Motion offers full-width video headers with a clean, minimal design that keeps attention on your products. It works especially well for fashion and beauty stores. Broadcast: Great for premium vibes . Broadcast lets you feature high-quality videos at the top of your store and includes customization to match your brand. Its polished look is ideal for jewelry and luxury products. Retina: Sleek and professional . Retina supports autoplay video headers that immediately grab attention. Its refined design helps position your brand as trustworthy and professional. Video headers boost engagement . Adding videos at the top of your site creates an immersive experience that highlights your brand and products, making customers more likely to stay and shop. Pick based on your brand’s goals . The best theme depends on your store’s style and audience, so choose the one that enhances your products and creates the customer experience you want. 3 Shopify Themes That Use Video Headers to Transform Your Store 1. Motion Motion is a popular Shopify theme that effortlessly incorporates video headers. It has a clean, modern design with full-width video backdrops that can immediately draw in your visitors. This theme allows you to display your brand message or specific items through compelling video content, boosting the visual attractiveness of your business. Its minimal background allows your products to pull focus and maximize engagement , which is why it's very suitable for product-first businesses in industries like fashion and beauty. 2. Broadcast Broadcast is another excellent choice for a Shopify theme that allows using video headers. Its dynamic and immersive design enables you to showcase high-quality videos at the top of your store's site to capture the attention of potential customers. This theme includes customization options to ensure that your video matches your logo and produces a distinctive visual experience for visitors. Its clean design makes it a great choice for store owners who want to foster a sophisticated feel, like jewelry-selling businesses. 3. Retina Retina is an eye-catching Shopify theme with several header options, including video headers. It has a sleek design that allows you to use autoplay videos that pique your target audience's interest right away. With Retina, you can provide your consumers with a one-of-a-kind and immersive browsing experience. Meanwhile, the professional feel of this Shopify theme makes it suitable for store owners who want to establish their brand as reliable in the eyes of their visitors. » Need inspo for your video headers? Learn to make a successful product demo video Pro Tip: Make Your Video Headers Work Harder for You A Shopify theme with a video header is great, but it’s just the start. Here’s how to turn those Motion, Broadcast, or Retina headers into true conversion machines. Front-load your hook: Keep your video header under 10 seconds, and show your strongest product or brand moment in the first 3 seconds. Most shoppers decide whether to scroll or bounce almost instantly. Pair with AI-powered CTAs: Layer shoppable CTAs directly on the video using Tolstoy’s AI Player so viewers can navigate immediately or add to cart without leaving the header. Auto-segment audiences: Use AI Player to dynamically swap video headers based on traffic source (e.g., TikTok visitors see UGC-style intros, while email visitors get product demos). Test silent-first: 85%+ of video views happen with sound off, so design your header with captions or bold text overlays that communicate without audio. Conclusion Choosing a Shopify theme that supports video headers may improve the image of your business, engage visitors, and boost conversions . You can create a visually appealing experience that resonates with your audience by relying on the power of videos. While various Shopify themes come with video header capabilities, you should choose your theme based on your store's distinct features to maximize its positive influence on your business. FAQs How do I prepare a video so it looks sharp in a Shopify theme header? You should optimize the video’s resolution, compression, and format before uploading it to Shopify. Export in MP4 (H.264 codec) for maximum compatibility across Shopify themes. Keep resolution at 1080p (not 4K) to balance quality and load speed. Compress the file to under 10 MB to reduce bounce rates. Test autoplay and mute functionality in both desktop and mobile views. For more detailed steps, see how to compress video size for Shopify without losing quality . What’s the best way to measure if a video header is helping conversions? Track engagement and conversion metrics tied to the header’s performance. Use heatmaps (e.g., Hotjar, Lucky Orange) to see if visitors scroll less after watching. Measure add-to-cart rates before and after enabling the video header. Check mobile vs. desktop performance—headers often slow mobile. Run A/B tests comparing still-image headers with video headers. For tactical inspiration, review conversion-focused tactics in this Tolstoy article on shoppable videos . How can advanced Shopify brands use video headers without hurting page speed? You can preload lightweight versions or selectively serve headers only to high-bandwidth visitors. Use lazy loading so videos only start when visible above the fold. Deliver lower-bitrate mobile versions while keeping desktop versions HD. Host videos on Shopify’s CDN rather than third-party embeds. Consider replacing long loops with short, seamless motion clips. Use Tolstoy AI Player, it’s fully optimized for performance with zero impact on your site speed For broader strategies on keeping media fast while immersive, see this Tolstoy piece on interactive shopping videos . How do I use Tolstoy AI Studio to generate header-ready video content quickly? You can input product images or scripts in AI Studio and export short looping videos for Shopify headers. Select your images directly in AI Studio, it syncs automatically with your Shopify store. Pick from a variety of ready-made templates to jump-start your design. Generate multiple variations (e.g., lifestyle vs. product-first) in minutes. Export compressed MP4 files directly for Shopify upload. Learn more about building assets like this with Tolstoy AI Studio . How can Tolstoy AI Player enhance a Shopify theme with video headers? Tolstoy AI Player lets you make headers interactive, turning them into shoppable entry points. Replace a static autoplay header with an AI Player Hero video project. It’s fully customizable, you can add text, CTA buttons and it’s optimized for site speed. Add clickable CTAs directly inside the video. Sync player data with Shopify analytics to attribute sales. Test interactive vs. passive headers to quantify lift in engagement. See how the workflow works with Tolstoy AI Player . --- # How to Create Product Videos Buyers Want to Watch URL: https://www.gotolstoy.com/blog/how-to-create-product-videos Author: Tolstoy Team | Published: 2025-06-16 Summary: Learn how to create product videos that engage buyers, build trust, and boost sales with storytelling, emotion, and AI-powered tools. Key Takeaways Show the story behind the product: The best videos do more than display features. They show real use, solve buyer doubts, and help shoppers imagine the product in their daily lives. Match the video to the buying stage: Use short highlight reels for first impressions, tutorials for support, comparisons for decision-making, and testimonials for trust. Each format serves a specific purpose. Keep it concise and human: Most high-performing product videos are 15–60 seconds long. Focus on clarity, authenticity, and emotion rather than overly polished production. Use AI to scale smarter: AI tools can help you create personalized, on-brand videos quickly, like size try-ons or seasonal updates, without losing your brand’s unique feel. Make videos shoppable and interactive: Let viewers click to explore what matters most to them or buy directly from the video. Interactive video journeys turn curiosity into confident conversions. How to Create Product Videos Buyers Want to Watch From demonstrating how a product works to showcasing its lifestyle appeal, product videos are the most effective way to tell your brand’s story. Here’s how to create yours. There’s no shortage of product videos online. Scroll any social media platform for five minutes and you’re bound to come across plenty. But how many actually make you stop? How many make you feel something? Today’s buyers want more than features and close-ups. They want to see the product in action. That’s why the most effective product videos today go beyond informing customers to build confidence, answer unspoken questions, and help people imagine your product in their lives. And the results speak for themselves. Studies show that viewers are between 64% and 85% more likely to buy after watching a (great) product video. The best part? You don’t need a production crew or Hollywood’s budget to create them. Whether you’re filming with an iPhone or using an AI-powered video creation platform (like Tolstoy) to scale, here’s how to create product videos that not only look good but also increase conversions. Beyond the Product Shot: What Story Are You Telling? Of course, not all products need the same kind of video. So, before you hit record, it’s worth stepping back and asking: What do I actually need to show? For some products, it’s all about how they work . Others are more about how they feel or how they fit into someone’s life . Your video should serve a purpose beyond just “looking good.” It should resolve a doubt , demonstrate a transformation , or help someone envision the product in their hands . Here’s a helpful way to think about it: Are you trying to educate, demonstrate, compare, or evoke emotion? Just a few examples to consider: For skincare , it’s rarely just about the bottle or ingredients. Customers want to know how it fits into their routine. When should they use it? What can they expect to feel or see? A step-by-step usage video is more effective than a sleek, silent product demonstration. For apparel , the priority is often movement, fit, and texture. What does it look like on different body types? How does it drape, stretch, or layer? A try-on-style video does more for conversions here than any flat lay ever will. For tech , it’s about context. Customers want to see features in action. Not a list, but a story. How does the device improve a workflow or daily routine? What’s the “aha” moment once someone uses it? The goal is to walk the customer through the experience and answer every possible question they may have. And that’s why real customer concerns should shape your script. So pull relevant information from support tickets, reviews, sales calls, community forums, etc. Pro tip: This is exactly where guided, interactive AI video journeys (like those developed with Tolstoy ) make a world of difference. Instead of having every potential customer watch the same clip, you can build smooth, natural flows that let people choose what matters to them: “How does it fit?” “Will it work with X?” “What size should I get?” One product, multiple answers, all in one smart experience. Try Tolstoy today for free . Matching Your Product Video to the Shopper’s Journey Just as products demand different video approaches, your customers are also at various stages in their buying journey, and each stage calls for a different kind of video. For example, here’s a shortlist of purpose-driven formats at a glance to give you a sense of what most brands prioritize at different buying stages: Video Format Usage Guide Video Format Usage Guide When to Use Format Example Estimated Length First impression PDP highlight reel 360° spin of a handbag ~15 sec Decision paralysis Comparison video "Matte vs. Glossy Lipstick" side-by-side ~30 sec Post-purchase education Tutorial "How to clean your sneakers" ~45 sec Social proof Testimonial snippet Customer unboxing + reaction ~20 sec In practice, here are five of the most effective product video formats for ecommerce brands: Product overview: A short, punchy video (roughly 15 to 30 seconds) that highlights key features. Perfect for your product detail pages (PDPs), especially above the fold. Show the product in action, mention the main benefit, and wrap. Explainer/tutorial: For slightly warmer leads or post-purchase education. These videos walk customers through how to use the product, set it up, or get the most value out of it. In other words, they help reduce friction and support tickets. Comparison video: Great for decision-stage buyers who are still weighing options. This format helps answer “Which one’s right for me?” especially if you offer multiple products or bundles. Keep it honest and helpful. Story-driven testimonial: Nothing builds trust like a happy customer. These videos add emotional context. They show real people with real results, and they give others a reason to believe. We recommend keeping these unscripted and human for the best results. “Choose your own journey” walkthrough: Here’s where things get really interesting. Not every customer wants the same information, and not every question has the same urgency. With Tolstoy, for instance, you can create interactive videos that let people choose what they care about . Want to see a size comparison? Click. Need to understand how it fits into a routine? Tap. These flows are personalized, and that drives better engagement and higher conversions. No matter the format, keep this in mind: short and purposeful wins . Most high-performing videos are between 15 and 60 seconds. Especially on mobile. And remember, video doesn’t have to be linear anymore. You’re not stuck telling one story in one way. Today’s best-performing product videos are more like conversations. They adapt, respond, and evolve based on what the customer wants to know. Real Examples of Product Videos That Work Seeing how other brands get it right can help get your creative juices flowing. Let’s very briefly go over a few examples of product videos that truly hit the mark today. Everlane takes a practical approach with its clothing videos. They focus on fabric movement and fit across different body types. Most videos show the same piece on multiple people, which removes the guesswork around sizing and style. Source: Everlane Dyson turns complex tech into simple, satisfying walkthroughs. You see it working in context with no over-the-top voiceovers. Just results. Source: Dyson Away’s luggage demonstrates durability through real-world scenarios. Instead of listing specifications, they show suitcases surviving actual travel conditions. Airport conveyor belts, overhead compartments, cobblestone streets - situations every traveler recognizes. Source: Away What do these examples all have in common? Clarity, purpose, and just enough emotion to move people from browsing to buying. AI Video Isn’t the Future, It’s the Now Before moving on, let’s briefly address the modern shift that’s leveling the playing field: Artificial Intelligence. Creating great product videos used to mean carving out time, budget, and a small crew. Today, AI has changed the game. With AI video generation, ecommerce brands can go from idea to finished AI product videos in minutes with no studio and no scriptwriting headaches. Even better, these videos can be personalized based on shopper behavior and preferences. The question isn’t whether AI will transform ecommerce product video creation (it already has). It’s whether you’ll use it strategically and outshine your competitors or get left behind. Leading brands are already creating video content that scales with their growth while maintaining the human connection that drives sales. In fact, 59% of CMOs and executives worldwide confirm that their companies are using AI for video generation . But there’s a catch. Generic AI tools often miss what makes your product unique, spitting out soulless clips that blend into the scroll. The goal instead should be to use AI strategically : For consistency : As in batch-generating 50+ on-model videos from a single image For agility : As in update holiday-themed videos in minutes, not weeks For trust : As in auto-generating size-inclusive try-ons without reshooting This is where Tolstoy stands apart. Instead of forcing you to wrestle with prompts, our AI video generation platform analyzes your product catalog and brand aesthetics to create videos that look like yours ( backgrounds, models, and all). Good to Remember After watching a product video, 64–89% of viewers are more likely to make a purchase according to the Wyzowl report . Use Tolstoy to Create Shoppable Product Videos That Convert Most brands still rely on one-size-fits-all videos or static visuals that treat every customer the same. But your shoppers don’t all have the same questions. And that’s previsely the problem Tolstoy solves. With Tolstoy, your customers get shoppable, personalized video journeys that let them choose their own path. Someone interested in sizing can jump straight to fit demonstrations. Someone focused on durability can skip to stress tests. Our platform uses AI to automatically identify the best product images and data from your existing product catalog, so you don’t need to guess which shots will convert. The best part? You don’t need to prompt Tolstoy to generate anything. It’s built to make video creation refreshingly effortless. Just drop a link to your product page, and Tolstoy automatically generates shoppable videos at scale using the most sophisticated AI algorithms. You can then edit everything from backgrounds to product animations or publish as-is, all without a video team. What’s more, Tolstoy is one of the very few AI video generation platforms that are purpose-built to work with ecommerce platforms like Shopify. In practice, you can use Tolstoy to: Build interactive try-on walkthroughs (especially useful for fashion brands) Create shoppable videos that let customers buy directly from the video player Highlight key features with comparison videos Offer guided video quizzes that recommend products based on preferences Once you’re ready, publishing happens in just a few clicks. Videos go directly to your product pages, email campaigns, or social channels as needed, with no technical setup required. With Tolstoy, you don’t just show your product in its best possible light. You make it effortless for people to explore and buy. Get in touch today . Pro Tip: Create Product Videos That Sell Themselves Your shoppers don’t want to watch another ad, they want to see how your product fits their life. With Tolstoy’s AI Player, you can turn every product video into a personalized, shoppable experience that converts. Start With Purpose: Choose your video type based on intent, overview for awareness, tutorial for education, testimonial for trust. Personalize the Journey: Use interactive video paths (“How does it fit?” “Will it work for me?”) so each viewer controls their experience. This builds confidence and boosts watch time. Make It Shoppable: Add clickable “Shop Now” tags or “Compare Sizes” buttons directly in the video player. The fewer clicks to checkout, the higher your conversion rate. Scale With AI: Tolstoy generates hundreds of product-specific videos automatically from your Shopify catalog, no filming, no editing, no delays. Conclusion A picture captures a moment. A video captures an experience. Product videos work when they’re more than just pretty clips. The best ones answer pressing questions, reflect real use cases, and help customers feel confident about what they buy. And confidence converts. Today, you don’t need a full production crew to make that happen. With an AI-powered video generation partner like Tolstoy, you can create interactive, personalized video experiences that adapt to each viewer. The future belongs to brands that make video personal and interactive. Tolstoy helps you create those experiences at scale. Try Tolstoy for free today . --- # Product Advertising Tips: How to Convert More Shoppers URL: https://www.gotolstoy.com/blog/product-advertising Author: Tolstoy Team | Published: 2025-06-16 Summary: Learn the key principles of product advertising that drive emotion, build trust, and turn online browsers into loyal buyers with shoppable video strategies. Open any social media feed or marketplace today, and one thing is clear: everyone is selling something. The sheer number of product listings makes standing out incredibly tough. Even having the best product in your category is no longer enough. The primary goal of modern product advertising is to grab attention and make a lasting impression before the next scroll pulls viewers away. To succeed, today’s leading brands apply a deceptively simple idea: people don’t buy products; they buy feelings and outcomes. Take Cards Against Humanity , for example. Their early ads looked like ransom notes, yet they sold millions by tapping into a shared inside joke. Or Liquid Death, who turned water into a heavy metal anthem. These brands understood what struck a chord with their audience and doubled down on it. To help you do the same, this article briefly examines the state of product advertising today, three proven principles for effective ads, and how formats like video can make your ad spend work harder for you. Why Product Advertising Feels Harder Today A decade ago, advertising a product online meant you could rely on Facebook ads, a decent landing page, and maybe a discount code. Today, however, things are different . Every niche is crowded. Instagram, TikTok, and YouTube are packed with brands shouting for attention, and often, they’re all saying the same thing. Gen Z loses interest in ads after just 1.3 seconds, and the rest of us aren’t much better. Add to that the fact that the average consumer is exposed to anywhere from 6,000 to 10,000 ads per day . The fatigue is real. There’s also a simple, inconvenient truth to consider: people don’t care about your product unless you give them a reason to. Specs, discounts, and free shipping are no longer differentiators. They’re table stakes. And that’s why even brilliant products with strong reviews and loyal customers can still struggle to convert. Holding and keeping attention is now everything. Studies show people retain 95% of a message when they watch it in video form compared to just 10% from text. That’s a crystal clear signal that how you display your product matters just as much as what you’re selling. So what does it take to truly win attention today and keep it long enough to drive real results? Let’s break it down. 3 Principles Behind Product Ads That Actually Convert The best product ads today tend to have a few things in common. They follow a clear structure designed to compel action. Here are three principles every ecommerce brand should build its ads around. Make People Feel Something People rarely remember what they scrolled past anymore. But they remember how something made them feel. That’s the #1 job of product ads today: to tap into emotion, whether that’s curiosity, nostalgia, humor, desire, or even rebellion. When Liquid Death started selling canned water with horrorcore branding, they didn’t just capture attention. They created a visceral reaction. People laughed, shared, argued, and, of course, bought so many products that it made the company a billion-dollar brand . Not because of the water, but because of what the brand represented. Smaller brands do this well, too. Take Vacation Inc., for instance. They sell sunscreen that feels like a 1980s beach holiday. Every ad of theirs (from the scent description to the video tone) sparks a specific mood. It doesn’t scream SPF. It sells escapism. Neither product above is particularly revolutionary. Their advertising makes them feel that way because it speaks to emotions first. Emotions help people connect dots faster. They also make your brand more memorable in a space where sameness is the norm. So, before you show off your product, it helps to ask yourself: “What do I want someone to feel when they see this?” Make the Product the Star, But in Context Nobody wants a generic product close-up anymore. Consumers want to see how the product fits into their lives. They want to watch someone just like them use it, enjoy it, and recommend it. That’s why “point-of-view” and “first-person demo” content wins big today, like this example from Aussie Crafter : This is especially true in ecommerce, where buyers can’t touch or try the product first. Ads that simulate that experience (showing how something fits, sounds, or behaves in action) build trust and remove doubt. Video is clearly the ideal channel here . It brings your products to life in ways images and text simply can’t. And when it’s layered with supporting elements like a voiceover, captions, and (most importantly) some degree of storytelling, your product becomes THE solution customers have been searching for. Make It Easy to Buy From the Ad Itself This might be the most overlooked piece of the product ad puzzle today. Friction kills conversions. The longer it takes to get to the checkout, the more likely shoppers are to bounce. That’s why brands are moving toward formats that cut out extra steps. Think shoppable videos , interactive flows, and click-to-buy integrations right within the ad. These approaches remove the guesswork and let buyers act on impulse, in a good way. Brands using formats like this see dramatically better engagement, including visits that last longer and add-to-cart rates that soar. Basically, the fewer hoops a shopper has to jump through between seeing your ad and owning your product, the higher your conversion rates climb. How Tolstoy Helps Turn Shoppers Into Buyers You’ve already done the hard part. You’ve built a solid brand and drummed up some level of interest with your audience. But if your product pages feel like so many others out there (with simple images and descriptions), you’re only scratching the surface of your brand’s potential. And that’s where Tolstoy steps in with expertly curated AI-powered video ads tailored for ecommerce brands. Imagine taking your existing product images and turning them into: Demo videos that show your backpack’s waterproof zipper in action UGC-style clips that show different AI models wearing your latest collection Before/after carousels where tangled jewelry becomes organized with your storage tray Instead of flat product pages, your shoppers get guided, interactive video journeys that feel like having a personal shopping assistant (think “choose your own adventure” style). Tolstoy essentially breathes life into your brand’s product pages with exceptional quality videos that adapt to your customers’ preferences and priorities. Setting up Tolstoy is effortless, performance is easy to track, and support is not only highly responsive, but genuinely helpful. The cherry on top? Tolstoy is one of the very few video generation platforms that integrates smoothly with Shopify and other ecommerce platforms, so you’re not rebuilding your entire tech stack. But don’t just take our word for it. Here are just a few of what our users say: Source: Shopify App Store Video ads are now one of the most effective mediums to close the gap between interest and action for ecommerce brands. Tolstoy gives you the tools to do it at scale with zero friction. Get in touch today . Key Takeaways Great product advertising doesn’t shout. It connects. It answers the one question on every shopper’s mind: Why should I care? That’s the difference between noise and influence. Between scrolling past and clicking “buy.” If you’re ready to turn curiosity into action, video is your best bet, especially in ecommerce. And with Tolstoy, it’s not just any video. It’s personal. It’s interactive. It meets shoppers where they are, then moves them forward. Try Tolstoy for free today . --- # Video Storytelling for Brands: How to Connect & Convert URL: https://www.gotolstoy.com/blog/video-storytelling Author: Tolstoy Team | Published: 2025-06-16 Summary: Connect emotionally with customers through video storytelling. Learn how to craft authentic brand stories that drive engagement and sales. Think about the last time a product video really stayed with you. Odds are, it wasn’t because of 4K resolution or studio lighting. It was something more intangible that hit close to home. Maybe it was the way those sneakers seemed to call out to you. Or how the coffee maker hissed exactly like your local café’s. That’s video storytelling done right. Not content for content’s sake, but a way for brands to connect on a human level. Video storytelling works because it turns simple product showcases into narratives that stir emotion, solve problems, and earn trust. It’s the difference between seeing a static photo of a rug and imagining the cozy mornings barefoot on its softness. Plus, with 95% of purchase decisions happening subconsciously, stories and emotions make more impact than any product spec ever could. Below, we briefly unpack why video storytelling works so well for ecommerce brands and how to create authentic stories that turn browsers into buyers at scale. What Video Storytelling Actually Means Video storytelling is exactly what it sounds like: telling stories through video . But it’s not just narrating events or adding a voiceover while presenting a product. It’s about capturing a moment where that product matters. This is what separates video storytelling from a typical product video. Where a standard product clip might show the fabric, color, or functionality of a product, video storytelling answers a deeper question: What role does this product play in someone’s life? Take a watch brand, for instance. A typical ad may promote advanced tech functions and water-resistant features. A story-driven ad, however, may show someone diving into a lake, emerging with a grin, and checking the time, with the watch remaining dry and flawless. To provide a real-world example, Garmin’s Instinct 2 Solar video shows its acclaimed wristwatch in various outdoor activities, from hiking to cycling to jogging: The emphasis is on the experience, the connection with nature, and the stellar performance of the watch throughout. With this framing, the watch becomes more than a gadget; it’s a companion in memorable adventures. The best part? You don’t need drones or production crews to get video storytelling right. You can even shoot a meaningful story on your phone. What matters most is the message you’re delivering and the feeling you’re trying to evoke. Why Video Storytelling Works So Well for Ecommerce Brands Shopping has always been more of an emotional experience than a logical one. HBR’s research shows that when companies connect with customers’ emotions, the payoff can be huge. And video is arguably the best medium for building those connections. Unlike text or images, videos carry emotion through movement, sound, pacing, tone, and even silence. It holds attention long enough to make a real connection. And in ecommerce, where customers can’t touch or try the product, that connection is everything. Practically speaking, video storytelling does three things that directly impact your bottom line: It builds trust. Seeing a real person use the product in a real setting adds credibility. It feels unscripted and honest. It improves recall. A study by Stanford’s own Dr. Jennifer Aaker tells us that people remember stories up to 22 times more than facts alone. Put simply, your product features will be forgotten, your story won’t. It creates belonging. When someone sees their own routine, style, or identity reflected in a video, they’re far more likely to buy. Because it doesn’t just say “buy this.” It says, “this belongs in your life.” You’ve probably heard the saying: “People don’t buy products. They buy better versions of themselves.” Video storytelling makes those versions feel closer than any other medium ever could. And when every competitor’s Product Detail Page (PDP) has the same five-star reviews, your video story becomes the tiebreaker. Building Blocks of a Standout Video Story Every memorable video story leans on a few key ingredients. Nail these, and you’ll turn a simple product showcase into something people remember fondly. A relatable Character: Pick someone your audience recognizes. For a fashion brand, it could be a busy parent slipping into a soft tee before a school run. In home decor, maybe a young couple arranging a new lamp in their living room. When viewers see themselves in that person, they become invested. The goal is to get an “I know that feeling.” Context: When and where is this happening? Set the scene. A sunlit kitchen. A cluttered bedroom. A rainy sidewalk. These moments quietly frame the product’s place in real life. Tension: Tension doesn’t have to be dramatic. It can be as simple as wanting a cozier cup of coffee each morning. Or the stress of getting dressed when nothing feels right. Tension gives the viewer something to root for. Resolution: This is where the product naturally shows up. It doesn’t necessarily save the day, but it adds to it. The transformation is subtle but satisfying. Clothes that feel like you. A weighted blanket brings calm on restless nights. This “aha” moment feels earned and real. Tone: Decide how you want viewers to feel at the end. Do you want them to feel calm, comforted, inspired, or excited? Your music, pacing, and visuals should all work toward this. A soft acoustic track and warm lighting can leave people feeling cozy. Bright colors and quick cuts can spark energy. The closer your story gets to everyday life, the closer it gets to your customer. Take Glossier’s approach to skincare videos, for instance. The brand doesn’t prioritize showing flawless skin. Instead, they show real people in real bathrooms, dealing with real mornings like in their 2016 #GetReadyWithMe YouTube series. The product becomes part of a routine that feels achievable, not aspirational. Similarly, your video storytelling approach doesn’t need to be loud. It just needs to be real. A Simple Formula to Craft Your Own Video Story A good video story needs a structure that works. Here’s a simple framework for ecommerce brands to shape strong, relatable video stories without overcomplicating things. The Video Storytelling Formula For AI-generated creative, it also helps to understand why prompting matters when creating AI content , especially when the story needs to stay specific to the product and brand. → Hook → Setup → Moment → Shift → Close Let’s break that down: Hook: Start with a detail that feels honest. Something small but specific. A quiet sigh in the mirror. The rustle of tissue paper. A line of dialogue like, “I’ve tried everything.” This stops the scroll, not with flash, but with feeling. Setup: Introduce the character and hint at the tension. You don’t need exposition. A single visual can do the job. Maybe it’s someone rushing to get dressed with five outfit rejects on the bed. No voiceover needed. Moment: Bring the product in naturally. Not as a solution, but as a part of the moment. The skincare bottle sitting calmly on the sink. The dress that slips on and just works. Shift: Let viewers feel the product’s impact. Not through claims or specs, but through the scene. A breath. A smile. The quiet confidence in their body language. The shift is emotional first, functional second. Close: End on a feeling, not a pitch. Maybe it’s a soft laugh or a clean bathroom counter. Don’t oversell. Let the story breathe. Quick Example: Fictional Outwear Brand Hook: A young woman rushes out the door as heavy rain hits the pavement. No umbrella. No pause. Setup: She fumbles through her backpack at a crosswalk, soaked from her last “waterproof” jacket. People rush past with umbrellas. She exhales, frustrated. Moment: Cut to her slipping into a sleek, lightweight shell from the new brand. The zipper catches with a clean click. She steps outside again, this time, unbothered. Shift: Later that day, she’s on a video call. Hair still frizzy, sure, but the jacket’s still dry, still sharp. She notices it hanging behind her on a hook and smiles. Close: A final shot of her walking home, casually kicking at puddles . Bring Your Brand’s Story to Life With Tolstoy Creating exceptional video stories, especially at scale, often means huge budgets and endless production days. This is where Tolstoy rewrites the rules for ecommerce brands, helping you create exceptional shoppable videos fast, affordably, and always on-brand. Our AI-powered platform automatically generates high-quality videos directly from your existing product catalog. We handle everything from pulling your product images, animating fabrics, swapping plain backgrounds for lush scenes, and even generating try-on models in different sizes. Plus, with one-click publishing to your Shopify store, product pages, or even email campaigns, Tolstoy deeply integrates video storytelling into your sales funnel, so your authentic stories reach customers effortlessly. Get in touch today . Key Takeaways Video storytelling goes well beyond selling a product to showing what life looks like with that product in the picture. For ecommerce brands, it’s one of the few ways to create real emotion through a screen. The brands doing it best aren’t the loudest. They’re the most honest. Whether you’re just starting or scaling fast, a good story still wins hearts (and shopping carts). Tolstoy supports you by making it effortless to turn your product pages into a personal, story-first journey, without the studio budgets. If your product solves a real problem, your story already exists. You just need to film it. Start with Tolstoy for free today . --- # AI for E-commerce: Types, Process, and Best Practices URL: https://www.gotolstoy.com/blog/ai-in-ecommerce Author: Samantha Becker | Published: 2025-05-27 Summary: Discover how AI transforms e-commerce with key types, processes & best practices, and how Tolstoy enhances personalized shopping experiences. What is AI for E-commerce? The e-commerce industry operates at a massive scale, with global revenues forecast to reach $4.96 trillion by 2030 . This explosive growth is driven by rising consumer demand and transformative technologies like Artificial Intelligence (AI). By leveraging machine learning algorithms, complex business tasks - such as analysis, prediction, and decision-making - can be automated and refined. This is why e-commerce brands are rapidly adopting AI to streamline operations. Approximately 88% of organizations reported using AI in at least one business function, with common e-commerce applications spanning inventory management, customer service, and personalized shopping assistance. Types of AI for E-commerce AI is a diverse technology with a fairly large scope. Here are some of the different types of AI technologies that e-commerce organizations can make the most use of. 1. Generative AI and Content Creation Tools Generative AI (or GenAI) is a type of artificial intelligence that creates original content from simple text or visual prompts. Large Language Models (LLMs) are widely used for text-based content in digital marketing campaigns, including customized SMS, emails, newsletters, optimized product pages, and ad copy. Similarly, text-to-image or text-to-video tools rapidly produce high-quality visual content for social media and websites. 2. Predictive Analytics and Forecasting Engines Predictive analytics uses historical data and real-time signals (like website traffic, clicks, and social media engagement) to forecast future business outcomes. This data is analyzed using statistical and machine learning techniques to predict market trends and guide strategic decision-making. Beyond strategy, algorithms can forecast demand and cash flows, helping organizations optimize working capital and inventory management to ensure a reliable stock level at all times. 3. Computer Vision and Visual Product Search Computer vision is a form of AI technology that allows machines to recognize and analyze images and videos. With it, AI systems can pull information from any photo or video uploaded by users. This information can then be used to suggest similar products to customers, thereby improving conversion rates. 4. Conversational and Voice Shopping Assistants AI-powered chatbots leverage LLMs and Natural Language Processing (NLP) to interpret voice and text input. This allows them to function as virtual shopping assistants, greeting customers and helping with product searches. They can also efficiently address customer feedback and post-purchase dissonance. This scalability ultimately reduces the need for extensive manual customer support, thereby boosting the company’s net profit. 5. Personalized Recommendation Systems AI recommenders monitor user behaviors and purchase intentions in real time. They collect large amounts of data, which are then used to generate a detailed user profile. Based on that, suitable product recommendations are made that are specifically personalized to the user’s tastes, thereby improving customer convenience. The Role of AI in Visual Commerce Traditional ecommerce often falls short in user interactivity, engagement, and conversion. AI technology bridges this gap by providing a highly engaging, visual commerce experience. It personalizes the shopping journey for users through interactive images and videos. E-commerce brands can implement the following strategies to dramatically improve customer engagement and conversion rates: AI-Powered Video Personalization: Video commerce aims to transform the shopping experience by offering highly engaging video content. Since conventional video production is expensive, achieving hyper-personalization can be difficult. However, generative AI tools now allow e-commerce companies to produce tailored video content for every user at a fraction of the traditional cost. Predictive Engagement and Dynamic Storytelling: Using AI recommendation engines and forecasting tools, e-commerce brands can predict specific customer decisions and behaviors. Based on this prediction, they can offer dynamic content like videos and images with interactive storytelling elements to drive user engagement and conversions. Automated Product Video Creation and Optimization: Traditionally, implementing video commerce can be challenging for e-commerce brands since crafting optimized videos for every product can be expensive and time-consuming. Fortunately, with the help of generative AI, businesses can automate this process to scale for even long-tail products, while saving time, money, and human resources. This also allows brands to generate product content for different seasons, holidays and events, establishing a new standard for website freshness and engagement. AI-Driven Analytics for Conversion Insights: AI-powered predictive analytics can offer valuable insights on key performance metrics like clicks, add-to-cart rates, average order volumes (AOV), product purchases, and more. This not only helps e-commerce businesses monitor existing conversion rates but also highlights any drawbacks to be addressed for better future performance. Process of AI Implementation in E-commerce Here are the steps for implementing AI in an ecommerce environment: Defining the Need and Use Case Before implementing AI for ecommerce, brands need to define their goals clearly and identify any existing drawbacks within their business systems. Then they need to determine how the AI processes will be used to meet their goals and address the limitations. Exploring Different Vendors and Solutions Next, you need to choose suitable AI solutions in the planning phase. You must do extensive market research to identify the best vendor for your ecommerce business. You also need to ensure that it is up to date with the latest AI frameworks to make your systems as future-proof as possible. And, make sure it is financially feasible and can integrate seamlessly with your existing tech stack without requiring extensive changes. Running Tests and Checking in Small Scale Testing minimizes the chances of errors and discrepancies during actual use. For this purpose, you can implement the AI within a controlled environment, preferably on a small scale. That way, if there are any issues, they will be easier to troubleshoot. Optimize the Performance Now, you will need to gather and organize data for the AI. Since most AI frameworks are trained on pre-existing data, this step is crucial for optimizing their performance. In this step, you will also need to identify the resources required to scale and maintain the AI systems. This way, you can ensure its optimal performance in the long run. Implement at Scale Once the resources have been allocated and the AI models have been trained on business data, you can implement them for your core business processes at scale. They can be embedded within the website and apps, and can even be integrated into the social media pages or other relevant channels. Test Performance After implementation, you have to test the AI's performance over time. This can be done by measuring KPIs like AOV, CTR, CLV, etc. Make periodic adjustments and refinements to the AI systems to ensure maximum performance at all times. Best Practices for Using AI in E-commerce There are different strategies and practices that you can follow to increase the efficiency of AI systems in e-commerce: Strategy Importance Start with Measurable Goals and Clear Use Cases Using measurable goals can help in the seamless integration of the AI systems within the organization. And when clear use cases are outlined, e-commerce brands can avoid spending unnecessary resources on redundant processes. Maintain Clean, Structured Customer Data Since AI systems learn from data, it is crucial to maintain all data, particularly customer data, in a clean, structured format. This approach is essential for optimizing AI systems to deliver highly accurate, personalized, and engaging shopping experiences. Market search Explore the different solutions available in the market that can help you implement these workflows and achieve your use cases with ease. When evaluating options, consider the following: which solution is most up to date with industry standards, which is future-proof — supporting the latest AI models and ensuring compatibility with new models as they emerge, which integrates best with your existing tech stack, which requires the least effort from your team, and of course — the overall cost. Run Pilot Projects Before Scaling Up Scaling AI systems is necessary for growth, but it carries significant risk if not undertaken properly. Pilot projects - small-scale endeavors designed to test new concepts - are the perfect starting point for scaling AI systems due to their considerably lower risk profile. Track AI Performance and Refine Continuously It is important to track the performance of the different AI systems to ensure that they are functioning optimally. Besides, evolving e-commerce market trends may require business goals to be refined from time to time. That’s why continuously tweaking AI tools helps e-commerce brands keep their systems aligned with the organization's long-term goals. Train Teams to Manage AI Systems Effectively While AI systems are designed to be autonomous, some tasks need human intervention. These include downtime management, periodic hardware maintenance, or even updating AI systems to the changing market conditions. So, to manage these situations, e-commerce brands should maintain a team of trained AI professionals at all times. Over time, LLMs like ChatGPT will evolve into agentic commerce systems that allow users to buy products directly within their ecosystems. So, if the brand is integrated well into such LLM frameworks, it can be easily discoverable. Therefore, it is crucial that you represent your business within this ecosystem properly. Related AI Tools for E-commerce Most e-commerce brands today can choose from a wide range of AI-powered tools for their business. Some of the most popular and useful tools include: Tolstoy - AI Video Commerce When it comes to video commerce, Tolstoy is one of the most competent AI solutions available. The Tolstoy AI Studio helps brands generate high-quality product images and videos in a cost-efficient manner, while the Tolstoy AI Player allows brands to publish these assets directly to the site, run A/B tests, and optimize based on Performance. Tolstoy AI Sales Agent allows brands to offer AI-Powered virtual try-on and sales chat experiences on the site. ChatGPT and Jasper - Content Generation If you want to create interesting text-based content for your e-commerce platform, try an LLM like ChatGPT. With a few simple text-based prompts, you can create detailed ad copies, product descriptions, and landing page content. You can also opt for Jasper , which is another AI content generator like ChatGPT. It generates more marketing-focused content, which makes it a better choice for e-commerce. Klaviyo - Marketing Automation Klaviyo offers AI systems that aim to automate a wide range of marketing activities like email marketing, SMS marketing, customer management, and more. It is a comprehensive digital marketing solution that uses machine learning algorithms to deliver targeted marketing campaigns for e-commerce businesses. Nosto - Personalization Engine Nosto is an AI-powered personalization platform (CXP) that is specifically designed for e-commerce. It offers an agentic AI framework that can help your e-commerce platform deliver personalized content to customers. It also uses data collected from users to predict their behaviours. That way, it provides an engaging shopping experience, which improves conversion and builds loyalty. Competera - Dynamic Pricing Competera is a platform that uses AI-powered systems to analyze customer and market trends. Based on that, it delivers optimal pricing strategies for e-commerce businesses. This framework helps you reduce costs for your business operations without affecting efficiency. Zoho Analytics - Business Intelligence Zoho Analytics is an AI-driven Business analytics platform. It collects data from a wide range of sources and then analyzes them using machine learning algorithms. With this, you can monitor your e-commerce business performance and track the key performance indicators. How Tolstoy Elevates AI for E-commerce Experiences Tolstoy is an AI-driven commerce platform offering three unique products: the AI Studio (for image and video creation), the AI Player (for shoppable videos), and the AI Sales Agent (for virtual try on and sales chat). By leveraging these three AI-powered solutions, e-commerce brands can integrate AI seamlessly into their business processes to deliver a highly engaging shopping experience. With Tolstoy, you gain: AI-Powered High-quality Product Images and Videos (via Tolstoy AI Studio): Designed specifically for e-commerce, the Tolstoy AI Studio helps businesses generate professional product images and videos at scale. Customized Visuals on PDPs: With the Dynamic Media Gallery, brands can generate tailored variations of their product visuals — such as size-specific images for fashion or different skin tones for beauty. Shoppers can select the model that best represents them, automatically personalizing visuals across all site pages. Brands can also A/B test creative variations or dynamically serve different visuals based on traffic sources to maximize engagement and conversion. Personalized Video Shopping Journeys at Scale: Helps e-commerce brands deliver tailor-made, shoppable video content to users and allows customers to purchase products directly from these videos. Real-Time Engagement and Conversion Analytics: Real-time analytics on engagement and conversion metrics allow marketers and brand owners to immediately assess the effectiveness of their AI shopping framework. Seamless Platform Integrations: Integrates seamlessly with your websites, apps, and other platforms within the workflow, such as Shopify, Tapcart, Magento, and more. AI-Driven Content Automation and Optimization: Tolstoy’s AI solutions automate complex, resource-intensive tasks, such as video production and customer assistance, to optimize user engagement and conversions at scale. Success Stories from E-commerce Brands Using Tolstoy: Several e-commerce retailers have leveraged Tolstoy AI products to drive conversion rates, increase RoI, and promote business growth. For instance, the fashion boutique brand CSB saw a 6% rise in conversion rate with Tolstoy’s AI Sales Agent. Similarly, the fashion brand Hampden registered a 232% increase in AOV with Tolstoy’s AI video content. Since Tolstoy integrates with other platforms, it can improve the agentic shopping experience through supported AI tools. Tolstoy AI Sales Agent can represent the brand’s products in supported shopping experiences, providing product descriptions and links to purchase. Conclusion As AI becomes the backbone of modern business, forward-thinking brands are rapidly integrating AI for e-commerce to optimize operations and drive revenue. A wide variety of AI systems are available to manage virtually every e-commerce process. When implemented correctly, AI platforms like Tolstoy are uniquely positioned to help e-commerce brands adopt innovative commerce strategies and refine organizational goals to drive rapid growth. --- # AI Product Videos for E-Commerce: Pros, Use Cases & Tools URL: https://www.gotolstoy.com/blog/ai-product-videos Author: Tolstoy Team | Published: 2025-05-27 Summary: Discover how AI product videos boost e-commerce growth with personalization, shoppable content, and automation that increase engagement and conversions. Buying online means giving up much of the context you'd get in a physical store. You can’t touch the fabric, feel the weight, or see how the product moves. All you have are photos; sometimes, they don’t tell the whole story. Product videos bring garments to life. Instead of guessing how big something is or how it works, customers can see it in action. Whether it’s how a jacket fits on different body types or how a blender sounds while in use, videos answer the questions that images can’t. Key Takeaways Videos boost sales and reduce returns : Shoppers are far more likely to buy after watching a product video, and they return items less often because they know what to expect. AI makes personalization possible : Instead of showing the same video to everyone, AI tailors content to each shopper’s browsing and buying behavior, making recommendations feel more relevant. Scale video creation without big budgets : AI tools can turn existing product images into short videos automatically, saving time and production costs for teams with large catalogs. Shoppable videos drive instant conversions : Customers can watch a product in action and purchase directly from the video, removing friction from the buying process. Use across the entire customer journey : From product launches to seasonal campaigns to post-purchase tutorials, AI-powered videos keep shoppers engaged at every stage. Why Are Product Videos Essential for E-Commerce? Studies show shoppers are 64% more likely to purchase after watching a product video. For online stores, this isn’t just a “nice to have.” Videos increase engagement, build trust, and make your product pages more profitable. Returns are reduced when people know what they’re getting. Better clarity means fewer surprises for the consumer. Statistics from Business Dasher also suggest that product pages with videos are 80% more likely to convert than those without. But videos aren’t enough. You have to integrate it with data. The Pros of Product Video AI for Your Business Creating videos for your entire catalog sounds like a dream and a logistical nightmare. But AI tools help even small teams scale without the burnout. Here are the benefits you can get: Personalize Videos Based on Customer Behavior Not every customer shops the same. AI can detect what a user browses, adds to cart, or purchases, and then show videos that match those actions. For example, say a customer has been checking out skincare products for dry skin. Instead of generic video reels, they’re shown tutorials on layer serums, reviews from people with similar skin types, or comparisons. Tools like Tolstoy make this level of personalization easy to implement, especially inside mobile apps (more on that later!) Recommend the Right Videos to the Right Customer Think about how Spotify curates playlists or how Netflix suggests the next show based on your watch history. The same logic applies to product videos. AI can show the most relevant videos —a comparison guide, a quick demo, or a customer review that mirrors their needs. The more context your customers get and the more relevant the videos are, the more likely the products will convert. It’s not about showing more video content; it’s about showing the right video at the right time. Automatically Turn Product Pages Into Videos Manually producing videos for every SKU is unrealistic for most e-commerce teams. AI tools like Pictory or Vimeo Create can transform your existing product page images, descriptions, and reviews into a short, engaging product video. No need to shoot footage or record voiceovers. These tools can add transitions, music, and even voice narration with a few clicks. This means you can generate product videos at scale without spending thousands on production. Personalized Shoppable Videos: Turning Viewers Into Buyers Watching an engaging product video is one thing. Being able to shop directly from it brings another level of convenience. Personalized shoppable videos combine the power of visual storytelling and hit every impulse buyer’s sweet spot. After watching, you don't have to switch tabs or search for the product; you just tap, click, and check out. But what sets these videos apart is personalization. Instead of showing everyone the same product highlight reel, AI curates an experience based on each shopper’s actions. Use Cases for Product Video AI in E-Commerce AI-powered product videos aren’t just for your homepage hero section. They can be used across the customer journey to boost engagement, improve retention, and drive repeat sales. Here are a few ways e-commerce brands are using them today: Product Launches New collection dropping? Instead of static banners, use AI-generated videos that walk customers through the new line automatically tailored to what they’ve shopped for. It’s a more innovative way to build hype and familiarity. Seasonal Campaigns Promotions don’t have to feel generic. AI can tailor videos to seasonal events (Black Friday, Summer Sales, Back-to-School) and adjust the content depending on the user’s preferences and past buying behavior. That means a skincare shopper sees summer skincare tips, while a tech buyer might get a curated back-to-school gadget guide. It’s a more relevant way to meet customers where they are without rebuilding an entire campaign from scratch. Post-Purchase Engagement The experience doesn’t stop after checkout. Send how-to videos, setup guides, or styling tips to engage customers and reduce product confusion. When customers know how to get the most out of their purchase, they’re more likely to return for more. Did You Know? According to Capgemini’s 2024 consumer survey , 71% of consumers want personalized shopping experiences powered by AI, making shoppable video personalization a direct growth lever. How Tolstoy Simplifies Personalized Shoppable Videos Tolstoy lets you import videos from your social media accounts automatically and tag products to create a convenient, personalized, and relevant in-video shopping experience. That’s all thanks to our AI-powered recommendation engine. Each customer gets their own “For You” videos within the Tapcart app. No more generic hero page videos. Instead, customers explore products tailored to what they want right now. Plus, Tolstoy doesn’t just cover top-of-funnel leads. It’s a tool built for the entire buyer journey. For example, you can regain your customer's interest with automated abandonment flows, create added value with “how-to” videos after a purchase, and get viral UGC videos (usage rights) directly from Tolstoy’s Library. The best part is you can try Tolstoy out for free today! And when you’re ready to scale or need advanced features like AI editing tools, bulk video creation, or social media UGC imports , you can change your plan anytime. Pro Tip: Supercharge Your PDPs With AI-Driven Product Videos Static photos aren’t enough anymore, customers want to see, hear, and feel products through video. Here’s how to use AI-powered video to drive faster decisions and fewer returns: Auto-generate content at scale: Use AI tools to instantly turn PDP copy, reviews, and images into snackable videos so every SKU gets coverage without a studio shoot. Tailor by shopper behavior: Serve videos that match browsing patterns (e.g., “dry skin” routines, “summer tech must-haves”) instead of generic highlight reels. Make it shoppable: Add tap-to-buy overlays inside videos so customers never have to leave the experience to check out. Extend post-purchase value: Send setup or styling video flows automatically to reduce confusion and drive repeat engagement. Conclusion Product video AI tools are helping brands get the right content to the right people. Instead of relying on generic campaigns, you can tailor videos based on each shopper’s preferences, behavior, and buying intent. That means more relevant recommendations, faster decisions, and less friction from discovery to checkout. This isn’t just a competitive edge for growing e-commerce brands, it’s becoming the new standard. You’ll need a tool that scales with you to keep up with the competition. That’s where Tolstoy comes in. Try it for free today! --- # Top 9 AI Video Tools for E-Commerce & Digital Commerce (2026) URL: https://www.gotolstoy.com/blog/ai-video-tools Author: Roni Shif | Published: 2025-05-27 Summary: Discover the top AI video tools for e-commerce in 2026 to create shoppable, interactive video experiences, boost conversions & scale content fast. Short-form video has become one of the most influential formats in digital commerce. Today’s shoppers increasingly expect TikTok-style discovery, interactive product storytelling , and social-first shopping experiences even when they are browsing on an e-commerce site. To keep up, brands are adopting AI video tools that help them create high-quality content faster, localize and optimize videos at scale, and turn video into a more direct conversion channel. Below are nine AI video tools that support different parts of the e-commerce video workflow and remain highly relevant for commerce teams in 2026. If the job also includes still images, compare the tools below with a focused AI product photography workflow . The distinction matters: a generic video generator and a product-grounded ecommerce content system solve different production problems. Best AI Video Tools to Create, Optimize, and Scale Video Commerce AI video tools in e-commerce now cover more than just editing. Some platforms specialize in interactive, shoppable video experiences that drive onsite conversion, while others focus on AI-powered generation, localization, or cinematic production. The tools below support a range of video needs across e-commerce, including short-form shoppable feeds, product demos , creator-style content, and automated workflows that reduce manual production effort while maintaining strong visual quality. 1. Tolstoy Tolstoy is an AI-first commerce platform for interactive storefront video, AI product content, and guided shopping. AI Player publishes shoppable video on supported storefront and channel placements, AI Studio creates catalog-scale image and video, and AI Sales Agent supports product discovery and visual try-on. See the current Tolstoy integrations for connection and publishing details. 2. Firework Firework is a video commerce platform focused on omnichannel distribution and interactive short-form video experiences. It enables brands to embed shoppable video stories across digital touchpoints such as websites, email campaigns, and other commerce channels. Firework supports video-driven shopping journeys that combine engagement with conversion, making it useful for brands that want to offer both video discovery and live streaming on the same platform. Its strength lies in helping teams deliver immersive video commerce experiences without rebuilding their existing e-commerce workflows. 3. Videowise Videowise is an all-in-one video commerce platform known for automating UGC discovery and the bulk creation of shoppable video content. It helps brands build interactive video experiences across websites, mobile apps, and social media channels. Videowise also supports live video events and broadcasting, allowing brands to sell through livestream-style formats while keeping the shopping experience integrated. The platform is especially relevant for teams that require advanced analytics and want deeper visibility into how video content performs across the funnel. 4. Quinn Quinn is a lightweight video commerce tool designed to turn existing product videos into shoppable experiences. With clean playback and fast implementation, it allows brands to add clickable product cards, variant selections, and direct add-to-cart functionality inside the video. Quinn is a strong option for DTC brands that want a simple and cost-effective way to bring shoppable video onto Shopify storefronts without heavy development work or complex production workflows. 5. Bambuser Bambuser is a video commerce platform best known for live shopping and interactive video retail experiences. It supports brands across industries that want to combine livestream-style engagement with real-time purchasing. Bambuser enables teams to create shoppable video content, host live commerce sessions, and connect video experiences across multiple digital channels. It is especially useful for brands investing in live video as a core part of their e-commerce strategy. 6. Vimeo AI Vimeo AI is an AI-powered video toolkit focused on editing efficiency, translation, and content accessibility. It helps teams generate subtitles, translate videos into multiple languages, and create searchable transcripts that improve usability. Vimeo AI also supports automatic summaries and highlight creation, making it valuable for brands producing educational, product, or support content that needs to scale globally with less manual editing effort. 7. Synthesia Synthesia enables businesses to create AI-generated videos using avatars and voiceovers in more than 160 languages. It is widely used for marketing, training, and product communication workflows that require fast turnaround without traditional filming. Synthesia also allows teams to align videos with brand styling and convert scripts or documents into polished video formats, making it a practical solution for multilingual content production in e-commerce. 8. Runway Runway is an advanced AI video generation and creative production platform designed for high-quality visual storytelling. Its Gen-4.5 model supports cinematic video creation with strong creative control. While Runway is not built specifically for commerce enablement, it is useful for brands that want to produce highly stylized marketing videos, creative campaigns, or premium product visuals using generative AI. 9. VEED VEED is an AI-powered video creation and editing platform for marketing, e-commerce, and content teams that need to produce high-quality video content quickly. The platform combines traditional editing tools with AI-powered features such as AI video generation, AI avatars, automatic subtitles, voice cloning, screen recording, background noise removal, and multilingual dubbing. For e-commerce brands, VEED can support product demos, social commerce videos, UGC-style ads, product explainers, customer testimonials, and short-form content for platforms such as TikTok, Instagram Reels, YouTube Shorts, and Shopify storefronts. Its AI tools help teams turn text prompts, product descriptions, or existing assets into marketing videos without requiring extensive production resources. VEED is especially useful for brands that need a fast, all-in-one workflow for creating, editing, repurposing, and localizing video content across multiple channels while maintaining consistent branding. AI Video Tools Comparison Overview While these AI video tools overlap in some core capabilities, they are designed for different roles within the e-commerce video stack. Some focus on interactive shoppable experiences, while others specialize in editing, localization, avatar generation, or cinematic production. The comparison below highlights how each tool differs in terms of AI functionality, commerce alignment, and ideal use case: Tool AI Capabilities Commerce Enablement Best For Tolstoy AI video and image generation, AI sales chat, virtual try-on Shoppable video widgets with Shopify, and multi-channel distribution Interactive e-commerce video commerce at scale Firework Short-form video stories, omnichannel embedding Shoppable experiences across digital channels Brands combining video and live commerce Videowise UGC discovery , shoppable video creation, analytics Social commerce and livestream shopping workflows Teams needing advanced performance insights Quinn Shoppable overlays and add-to-cart widgets Shopify-friendly video commerce Simple, cost-effective shoppable video Bambuser Live shopping and interactive video retail Omnichannel live commerce experiences Brands investing in livestream selling Vimeo AI Translation, summaries, transcripts Indirect commerce support through content accessibility Localization and video operations teams Synthesia AI avatars and multilingual video generation Brand video creation, not commerce-native Scalable global content production Runway Cinematic generative video creation Creative asset generation Premium marketing and creative storytelling VEED AI video generation, avatars, subtitles, voice cloning, dubbing, and editing Content production for product demos, social commerce, ads, and storefront videos Fast all-in-one video creation, editing, repurposing, and localization Key Features to Look for in AI Video Tools AI video tools now play a central role in helping e-commerce teams scale content production, improve onsite engagement, and reduce manual effort across marketing and merchandising workflows. The best platforms go beyond basic video editing by supporting interactive commerce experiences, personalization, and measurable conversion impact. Here are the key capabilities to prioritize when evaluating AI video tools for digital commerce: 1. AI Video and Image Generation at Scale Modern brands need far more than a handful of product videos. Look for tools that can generate high-quality video variations, lifestyle visuals, and product imagery in bulk, especially for large catalogs and fast-moving campaigns. Tolstoy’s AI Studio , for example, supports catalog-scale creative workflows that help teams produce more assets without relying on constant photoshoots or heavy production cycles, making it easier to keep content fresh across ads, PDPs, and social placements. 2. Interactive Video Elements and Viewer Engagement The strongest commerce video tools are built for action, not passive viewing. Interactive features such as clickable product hotspots, add-to-cart functionality, branching video paths , or shoppable overlays allow shoppers to explore products directly inside the video experience. This reduces friction between discovery and purchase and helps brands turn video into a conversion layer rather than just a branding asset. 3. Personalization Based on Shopper Behavior and Context AI video tools are increasingly moving toward personalized shopping experiences. Platforms that adapt content based on shopper intent, browsing behavior, or product preferences can drive stronger engagement and higher purchase confidence. Tolstoy’s AI Sales Agent brings conversational guidance, virtual try-on experiences, and smart recommendations directly into the video journey, helping shoppers get answers, discover relevant products, and move toward checkout without leaving the experience. 4. Native E-Commerce and CMS Integrations Even the best video content loses value if publishing is difficult. Prioritize tools with native integrations into platforms like Shopify, along with flexible deployment options across PDPs, landing pages, email, and other commerce touchpoints. Shopify-native workflows, such as Tolstoy’s block-based integration, reduce operational friction and allow marketing teams to launch shoppable video experiences without relying heavily on developers. 5. Analytics for Engagement, Conversion, and Revenue Impact Video performance should be measured in more than views. Strong platforms provide detailed analytics that connect engagement to business outcomes, including product clicks, drop-off points, add-to-cart activity, and revenue impact. The most useful tools track conversion signals across every level of the experience, from video to widget, page, and product, giving teams actionable insight into what drives results. 6. No-Code Creation and Deployment Workflows To scale video commerce effectively, teams need speed and autonomy. No-code publishing, customization, and creative iteration allow marketers and merchandisers to update video experiences quickly without engineering support. This makes it easier to test new formats, refresh content frequently, and deploy shoppable video across the storefront with minimal overhead. How to Choose the Right AI Video Tool for Your Business Start by identifying your goals and look for AI video tools that offer more than basic editing. The right platform should support scalable content creation, seamless e-commerce workflows, and advanced commerce experiences that drive measurable results. Factor Explanation Identify Your Primary Video Goals Clarify whether your priority is brand awareness, onsite engagement, conversion lift, or a mix of all three. Your goals will determine whether you need creation-focused tools or commerce-focused platforms. Assess AI Depth Beyond Basic Video Editing Go beyond trimming and subtitles. Look for tools that support AI-driven commerce features like shoppable videos , automated creative generation, and interactive videos that allow customers to explore products directly. Evaluate Native E-Commerce and Data Integrations If you operate an e-commerce storefront, choose a tool that integrates cleanly with platforms like Shopify or WooCommerce, so video publishing, product tagging, and performance tracking stay connected to your workflow. Prioritize Tools That Scale Across Pages and Catalogs Strong video tools should support large catalogs and multi-page distribution, enabling brands to deploy video experiences across PDPs, landing pages, and campaigns without manual effort. Balance Ease of Use With Advanced Customization Select a platform that marketing teams can manage through no-code workflows, while still offering enough customization for branding, layouts, interactivity, and performance optimization. Why Tolstoy Stands Out Among AI Video Tools for Commerce Tolstoy stands out by combining AI-powered creative generation with conversion-focused shoppable video execution, giving brands both the content engine and the commerce layer needed to scale video effectively. AI Studio enables brands to generate high-quality product photos and videos with AI, then publish them directly into Shopify workflows, supporting a continuous creative optimization loop. AI Player delivers highly customizable, interactive shoppable video feeds that feel native to social-first shoppers, while maintaining zero impact on site performance. AI Sales Agent adds AI sales chat, virtual try-on, and guided discovery directly inside the video experience, helping shoppers gain confidence and convert faster. Smart distribution ensures videos are automatically pushed to the right pages across millions of URLs and channels through intelligent tagging and auto-import workflows. Built-in analytics track engagement and conversion signals across every level, from video to page, widget, and product, helping teams refine strategy with real performance data. Together, Tolstoy provides an end-to-end AI commerce platform for brands looking to operationalize shoppable video, scale creative output, and improve onsite conversion through more interactive shopping experiences. For a guided comparison against your current content workflow, book a free AI Studio demo . Conclusion The AI video tools featured here address key needs across e-commerce teams, from faster creative production to interactive, conversion-driven shopping experiences. While many tools focus on generating or editing video assets, platforms like Tolstoy go further by embedding commerce directly into the video journey through shoppable feeds, AI-driven personalization, and Shopify-native deployment. As video continues to shape how customers discover and buy products online, choosing the right AI video tool will be critical for brands looking to scale both content velocity and conversion impact in 2026. --- # Best AI Tools for Ecommerce: Top Picks for 2026 URL: https://www.gotolstoy.com/blog/ecommerce-ai-tools Author: Shir Belkin Frig | Published: 2025-05-27 Summary: Compare the best AI tools for ecommerce in 2026 across personalization, content creation, chatbots, and automation, and pick the right stack for your store. From Amazon to Spotify, big brands are embracing AI tools to personalize their marketing campaigns and shopping experiences. Etsy analyzes users’ browsing history, purchases, and favorite items to deliver an advanced AI-powered search personalization. Netflix also shows users’ favorite content based on viewing habits, ratings, and watch times. A McKinsey 2025 study shows that 90% of business leaders expect AI to drive revenue growth, while 92% say they will increase AI investments over the next 3 years . Moreover, about 55% of businesses plan to increase their current investments in AI by at least 10%. All these signs indicate how AI tools are reshaping e-commerce. This 2026 guide compares the jobs each platform is built to do, so teams can choose a focused stack instead of buying several overlapping AI subscriptions. Quick Answer: Build an AI Stack Around the Job If your bottleneck is… Start with… Measure… Producing product images, videos, and ads A catalog-aware content platform such as Tolstoy AI Studio Approved assets per SKU, time to publish, cost per usable asset On-site product discovery and purchase questions An ecommerce sales assistant; use our AI chatbot comparison to separate sales tools from support bots Assisted conversion, product clicks, add-to-cart rate, unresolved questions Publishing UGC and product video on storefronts A shoppable video platform connected to the catalog Video engagement, product clicks, assisted revenue, page performance Email and lifecycle automation A marketing automation platform with first-party ecommerce events Incremental revenue, repeat purchase, unsubscribe rate Support deflection and order operations A helpdesk AI agent with verified catalog and order access Resolution rate, escalation rate, CSAT, incorrect-action rate Do not evaluate all five categories with one generic “AI ROI” number. Give each tool one owner, one production workflow, and one outcome metric. If two products own the same job, consolidate before adding another platform. What Are E-Commerce AI Tools? E-commerce AI tools are specifically designed to help e-commerce businesses offer better services and drive revenue by leveraging artificial intelligence and machine learning. These tools can automate many processes and implement personalization across sales channels. Website personalization, chatbots, self-checkout systems, personalized recommendations, sales forecasting, and analytics – AI tools have diverse use cases in the e-commerce sector. Types of E-Commerce AI Tools AI is used to create a wide range of e-commerce solutions . AI-powered tools are typically designed to automate shopping processes, and enhance search experiences, product discovery, and much more. Type of E-Commerce AI Tool Description Product Recommendation Engines Analyzes customer data, including past purchases, browsing history, and demographic information, to create personalized product recommendations tailored to each customer's preferences. AI Chatbots and Virtual Assistants Uses natural language processing (NLP) and machine learning to understand customer queries and answer FAQs, route tickets, and often suggest products or upsell in chat. Dynamic Pricing Platforms Tracks demand, sales, and competitor prices and automatically adjusts your prices based on the retrieved data. Visual Search and Discovery Tools Allows customers to search with images instead of text. Makes product discovery effortless and improves conversions. AI Marketing & Content Automation AI-powered tools analyze your brand voice and target audience to generate product descriptions, reviews, headlines, and more, and automate marketing processes across websites, social media, and email. Customer Engagement and Retention Tools Learn from real customer behavior and sentiment. Make timely, tailored decisions to engage customers, reduce churn, and increase loyalty. Examples include AI-powered churn alerts, upsells, and win-back campaigns. Visual representation / AI photos and videos Used for generating professional images and videos in bulk and virtual try-ons. Typically, the AI creates visual content based on prompts. How E-Commerce AI Tools Work To integrate AI tools into your e-commerce processes, it’s important to understand how they work in sequence. Here’s how an e-commerce AI tool typically works: 1. Collecting and Analyzing Customer Data Collects data from various sources, including websites, apps, transaction logs, and devices. AI tools can also access external sources like social media signals and reviews to fetch data. AI tools recognize patterns in consumer behavior to create actionable insights. 2. Training AI Models for Decision-Making It’s important to train AI models by feeding them the necessary data. This AI model training teaches the AI to make accurate predictions and recommendations. 3. Integrating AI Tools with E-Commerce Platforms The trained and tested models are ready for integration into e-commerce platforms, such as websites, mobile apps, ERP systems, and other channels. 4. Continuous Learning for Better Performance Advanced AI tools are designed to learn continuously. E-commerce AI tools typically improve by analyzing outcomes, customer feedback, and operational data. They get better at predicting future events and patterns, delivering more accurate responses. Benefits of Using E-Commerce AI Tools E-commerce AI tools are typically designed to handle specific challenges or use cases. However, below are the most common benefits that an e-commerce AI tool offers. Higher Conversion Rates: AI tools are great for recommending products that are most likely to appeal to customers based on their unique past behavior and preferences. AI-powered personalization can increase conversion rates by 20-30% . Plus, AI tools can improve customer experience and drive higher conversions by offering on-site visual try-ons, personalized recommendations, advanced search options, and self-checkouts. Improved Customer Retention: AI tools help e-commerce companies design personalized campaigns and experiences tailored to individual behavior, preferences, and timing. And this, in turn, improves customer retention. AI-powered loyalty programs can increase customer retention by 20%. Moreover, businesses using AI analytics to predict customer behavior also see a 30% increase in customer retention. Faster Product Discovery: A Salesforce study reveals that 39% of shoppers rely on AI for product inspiration and discovery. Among them, about 50% are Gen Z consumers, indicating that the use of AI for product discovery is increasing among younger generations. Soon, we may see many more people rely on AI tools to discover and research products. Brands can integrate chatbots, virtual try-ons, and other shopping assistants to help visitors in faster product discovery. Greater Marketing Efficiency: A recent report by CoSchedule shows that 83% of marketers who relied on AI tools increased productivity, where AI saves them over 5 hours a week. Marketers use AI to automate tasks, generate content, collect insights, analyze data, and more. Challenges of Using E-Commerce AI Tools AI tools come with many advantages, but they also pose challenges that businesses must address, such as the following: Challenges Description Data Quality and Integration Issues Not every ecosystem is AI-ready. Integrating data with your current tools, databases, or workflows can become complex and time-consuming. Plus, clean and accurate data, along with strong data privacy, clear access control, and ownership, are also necessary for accurate decision-making. Over-Personalization and Brand Consistency AI personalization can also diverge from brand standards, making it hard to maintain a consistent message and identity across multiple channels. Over-personalization could damage users’ trust in a brand and create fatigue. Rising Costs and Resource Demands Requires high upfront investments in skilled professionals, software, and hardware, and ongoing expenses for model updates, data storage, and subscription fees. Dependence on Accurate Attribution Models AI tools highly depend on attribution models for decision-making. If the attribution models are flawed, the AI will deliver unreliable outcomes. Best Practices for Implementing E-Commerce AI Tools Define Clear Goals and KPIs: Set specific, measurable goals and KPIs such as conversion rate, cart abandonment rate, repeat‑customer rate, and average order value to measure your efforts. Choose Scalable and Integration-Ready Solutions: Select solutions that integrate with your CRM, inventory management, and other infrastructure. Your AI solutions should be scalable to handle your growing transaction volume and customer base. Select a Model Agnostic Platform: Choose AI platforms that can integrate and seamlessly work with multiple models and LLMs. This is because AI tech is consistently evolving, and your AI tools should easily switch between different solutions as needed. Test, Measure, and Refine Regularly: Follow the test (pilot), measure (evaluate), and refine (iterate) roadmap to improve the AI’s decision-making and outcomes. Maintain Human Oversight in AI Decisions: AI solutions may be designed to act and learn automatically, but still, human governance, such as audit for bias or error, or ensuring transparency in AI-driven decisions, is required to ensure safe, accurate AI usage. Keep Customer Experience at the Core: Your goal should always be to ensure a great customer experience, not to implement unnatural or slow AI-powered solutions. Key Features to Look For in E-Commerce AI Tools Your AI-powered solutions should have these key features to help you drive high conversion, using AI’s personalization and automation: Key Features to Look For Description Personalized Product Recommendations Offers tailored product recommendations based on browsing history, past purchases, clicks, or other customer data. AI-Driven Customer Support and Engagement AI-powered chatbots , virtual assistants, or conversational agents to handle customer queries, product discovery, and abandoned carts. Automated Marketing Campaigns For automating marketing operations such as segmentation, email/SMS campaigns, ad-spend optimization, and content generation. Customer Behavior Tracking and Insights Tracks past customer behavior data and shows actionable insights. Real-Time Experience Personalization Shows tailored suggestions, website interface, and content based on past behavior and other consumer insights. Most Popular E-Commerce AI Tools E-commerce brands can now choose from a wide variety of AI tools. Below, we compare five established options using their publicly documented product capabilities. This is a category and workflow comparison, not a claim that every output was hands-on tested. 1. Tolstoy Source: Tolstoy Tolstoy is an AI-commerce platform built to help e-commerce brands boost conversions and streamline content creation. Its core offering centers on creating and publishing shoppable videos, allowing brands to embed clickable, conversion-ready videos directly on their website, PDPs, emails, and other channels—whether sourced from social media, created in-house, or generated with AI. With Tolstoy’s AI Studio, brands can automatically generate studio-quality product images and videos at scale. Merchants can produce on-brand, polished visuals simply by selecting one of hundreds of ready-made, e-commerce-specific templates or by chatting with the AI Creative Director agent. Tolstoy’s AI Studio eliminates the need for traditional photo shoots and video editing and replaces multiple subscriptions to separate AI generation tools. Tolstoy also includes AI Sales Agent, an AI-powered sales assistant that functions as Virtual Try-On and a real-time product expert. It answers customer questions, provides accurate sizing recommendations, recommends relevant products, and helps drive purchases—bringing personalized, conversational shopping directly into the on-site experience. Teams evaluating AI commerce tools can also set up Tolstoy MCP with ChatGPT, Claude, Cursor, or Codex . 2. Jasper Source: Jasper Jasper is an AI-powered tool for retail content creation and automation that lets marketers and brands write content in their unique voice, tone, and style across multiple channels. This tool helps teams reduce writing costs and write better copy faster. Jasper equips brands with built-in templates for use cases like product copy, blog posts, and ad copy. It allows brands to automate content calendar workflows, publish to CMS, and optimize for SEO. 3. Clerk.io Source: Clerk.io Clerk.io is an AI modular platform designed particularly for e-commerce businesses to help them make more sales. This AI tool allows businesses to add features like AI-powered search, assistance, email automation, and audience insights. Clerk’s advanced search features enable customers to easily find their desired products. It also provides personalized recommendations based on customer data to increase upsells. Clerk also provides an AI-powered chatbot agent that offers instant customer support 24/7. 4. Octane AI Source: Octane AI Octane AI allows brands to create AI-powered interactive quizzes to collect zero-party data from customers. This is a Shopify Plus Certified, Shopify native app that lets you build quiz flows using simple prompts. Octane’s Smart Code Builder also allows you to generate pixel-perfect HTML/CSS/JS pages matching your storefront. You can also include personalized sales copy and product recommendations on your websites powered by Octane CORE-1. You can also test different variations of your funnel and improve with the help of Octane AI. 5. Vue.ai Source: Vue.ai Vue.ai uses features such as image recognition and computer vision to help businesses create tailored workflows across industries, including food delivery, insurance, e-commerce marketplaces, health, and wealth. This AI tool is used for content detection, model training, and content moderation. Vue.ai also offers specific e-commerce features. It allows e-commerce brands to connect all their data sources, improve content, and deliver personalized experiences to customers. How Tolstoy AI Commerce Platform Drives Personalized E-Commerce Experiences Tolstoy’s AI Commerce Platform brings personalized shopping directly into the customer journey through AI Sales Agent — Tolstoy’s on-site sales assistant. AI Sales Agent combines virtual try-on , accurate sizing recommendations , and smart product suggestions to give every shopper a tailored, confidence-boosting experience. This personalized assistance lives not only on the website pages but also inside Tolstoy’s video feed , where shoppers browse shoppable videos and can instantly engage with the AI chat to ask questions, get recommendations, and move toward purchase — all without leaving the content experience. Brands are already seeing the impact. Crop Shop Boutique reported a 6% sitewide conversion uplift after enabling Tolstoy’s virtual try-on and AI sales chat, demonstrating how personalized, intelligent guidance can influence purchase decisions across the entire funnel. Together, Tolstoy’s AI Sales Agent and interactive video experiences give e-commerce teams a unified, plug-and-play path to deliver personalized shopping at scale — without building custom infrastructure. Another brand, Pantynova , converted social engagement into website sales by delivering a social-media-style shopping experience via Tolstoy’s shoppable videos, successfully bridging the gap between social interest and direct e-commerce. To see which AI commerce use case fits your store first, book a free AI Studio demo . Conclusion AI-powered e-commerce tools are no longer a luxury - they’re a strategic advantage for brands aiming to scale, personalize customer experiences, and stay competitive. Whether it’s automated content creation, personalized product recommendations, or interactive shoppable videos, these solutions help brands serve their customers smarter and faster. That said, the real key lies in picking the right tool for the right role: by clearly identifying your business challenges (e.g., poor conversion, low engagement, content bottlenecks) and matching them with an AI tool that addresses them directly, you can maximize ROI while minimizing complexity. With platforms like Tolstoy, which bundle video commerce, AI-generated content, and conversational shopping in one interface, brands can connect discovery, engagement, and purchase without stitching together as many point solutions. The practical advantage in 2026 is not “using more AI.” It is shortening one measurable workflow while keeping product data, brand review, and customer experience under control. --- # AI Product Video Best Practices: From Brief to Quality Review URL: https://www.gotolstoy.com/blog/best-practices-for-ai-product-videos Author: Tolstoy Team | Published: 2025-05-26 Summary: Plan, generate, and review AI product videos with a shot brief, motion checklist, accessible playback, and a focused storefront test. A useful AI product video answers one shopper question and keeps the product accurate while it moves. Start with an approved reference image, choose a simple action, and review the full generated clip before adding copy, audio, or a shopping link. This checklist is for ecommerce teams producing short product-led clips. It covers the production decision that a tool comparison cannot answer: whether a specific output is ready for customers to see. Choose one shopper question Shopper question A useful video direction Evidence required What does it look like? A clear product view with a restrained camera move Approved reference images How is it used? A real demonstration or a generated scene that does not invent function Verified instructions and an accurate demonstration What is included? A clear view of the actual set Confirmed contents for the exact SKU How might I style it? A lifestyle or on-model direction Correct product and a review of the generated styling Use real footage when the video must prove a physical result: how much a bag holds, how a mechanism works, or how a fabric stretches. A generated action can illustrate a concept, but it is not evidence that the product performed that action. Write a shot brief before generating Keep the brief short enough that a reviewer can use it as an acceptance checklist. Record the SKU, approved reference, placement, crop, intended action, and product details that must stay fixed. For example: “Create a short vertical clip from this approved bottle image. Use a slow camera move against a plain background. Keep the label, cap, silhouette, and liquid color consistent. Leave space above the bottle for separately added campaign copy.” This is a creative brief, not a guarantee of the model's output. Avoid combining several difficult actions in one first attempt. A camera move around a static object and a hand picking it up are different production problems. Start with the simpler direction, then add complexity only if the product remains stable. For input preparation, use the [product-image workflow](/blog/how-to-generate-product-images-with-ai). Tolstoy's [AI Studio](/product/ai-studio) provides a workspace for product-led image and video creation; available models and controls vary by workflow. Review the whole clip, not just the first frame Watch at normal speed and inspect frames around every change in movement or interaction. Compare the start, middle, and end with the approved product reference. Check Look for Release decision Product stability Labels changing, missing parts, shifting colors, changing proportions Reject a material product mismatch Motion Sliding contact points, impossible movement, flicker, or warped surfaces Regenerate or edit the affected shot People and interaction Extra fingers, broken grip, distorted clothing, unclear permission Hold until the issue is resolved Claims Generated outcomes, invented testimonials, unsupported captions Remove or replace with verified content Final frame A cropped product, clipped text, or abrupt cut Adjust the export and review again A synthetic person speaking about a product is not a real customer testimonial. Use a claim you can support, obtain the necessary usage permissions, and review the relevant disclosure requirements for the channel. Do not present generated speech as a named customer's experience. Make the final video usable Add important copy after generation when you need exact words. Check spelling, product names, prices, and dates in the final exported file. Keep text clear of player controls and mobile crops. Caption spoken information and check the captions manually. Give the video a useful poster image. Make the product page understandable when the video is paused, muted, or unavailable. Verify that the selected player offers usable controls and that a shopper can reach the product link with a keyboard. Choose the shortest version that answers the question clearly. A fixed duration is not a conversion rule. An instructional clip may need more time than a product close-up. Keep a high-quality master and create a separate export for each placement. The [Shopify compression guide](/blog/how-to-compress-video-size-for-shopify-without-losing-quality) explains how to check file size against visual detail. Test one change and record the result For a storefront pilot, start with a defined set of products and a clear comparison. Keep the product, offer, and placement consistent when testing the video. If you change the hook, CTA, and page layout together, you cannot tell which change affected the result. Record the video version, publish date, audience or traffic source, eligible sessions, plays, product clicks, and the purchase-related outcome you can measure. Video completion is useful for diagnosing the creative; it is not a substitute for a product click or order. Treat comparisons between viewers and non-viewers cautiously because shoppers choose whether to watch. Use [shoppable video](/shoppable-video) when the job includes helping a viewer move to the correct product. Confirm that the tag opens the right SKU and that unavailable variants have a sensible fallback before expanding. Book an AI Studio demo for your product-video use case and bring one approved product reference and the question your video needs to answer. --- # AI-Powered Video Creation: What You Need to Know URL: https://www.gotolstoy.com/blog/what-is-ai-powered-video-creation Author: Tolstoy Team | Published: 2025-05-26 Summary: AI-powered video creation is changing e-commerce. Explore its benefits for engagement, storytelling, and boosting online sales. Key Takeaways Powered by AI : AI video creation uses your product images, data, and text to automatically produce polished videos without a studio or editing skills. Great for e-commerce: Videos show products in action, making them easier to understand and more convincing than photos alone. Built for social media : AI tools quickly create short videos sized and styled for platforms like TikTok, Instagram, and YouTube, helping you capture attention fast. Lower cost, faster output : You can make high-quality videos at scale without hiring a production team, which saves time and budget. Better shopping experience : Adding videos to product pages and funnels keeps shoppers engaged, builds trust, and can increase conversions. AI-powered video creation is transforming the way e-commerce stores attract, engage, and convert customers. With the help of artificial intelligence, businesses can now create professional-quality videos that captivate audiences, simplify production, and reduce costs. See how Tolstoy AI Studio turns product data and approved assets into shoppable video workflows for product pages and campaigns. Not only do these videos help showcase your products dynamically, but they also elevate your marketing strategy by improving customer engagement and driving conversions. In this article, we’ll explore what AI-powered video creation entails, its benefits for e-commerce, and real-world examples of its effectiveness. AI-Powered Videos Explained At its core, AI-powered video creation leverages artificial intelligence to automate the process of producing high-quality, customizable videos. This technology turns product data, images, and descriptions into visually engaging content without advanced skills or expensive production teams. What Makes AI Video Creation Special? Dynamic Product Showcasing : AI-generated videos display products in action, making them more relatable and appealing to potential buyers. Brand Storytelling : Videos created with AI can tell compelling stories that connect emotionally with your audience. Ease of Use : AI tools simplify traditionally complex tasks, making video creation accessible for businesses of all sizes. AI-Powered Videos on Social Media Social media platforms thrive on visually engaging content, making AI-generated videos an ideal fit. Businesses can create short, impactful videos tailored to the specific requirements of platforms like Instagram, TikTok, Facebook, YouTube, and Pinterest. Why Use AI Videos for Social Media? Boost Engagement : Videos capture attention faster than static images or text. Increase Shares : Shareable video content expands your reach organically. Platform Optimization : AI tools often include features to optimize videos for various social media dimensions and styles. Pro Tip : Focus on the platforms where your target audience spends the most time and customize videos to fit their preferences. Benefits of AI-Generated Videos on Your Website Adding AI-generated videos to your e-commerce site can significantly enhance the shopping experience while increasing conversions. Key benefits include: 1. Simplified Sales Funnels Interactive product videos guide customers through their purchase journey, reducing the number of steps needed to make a sale. 2. Affordable Content Creation AI eliminates the need for costly production teams, making it possible to create high-quality videos on a budget. 3. Improved Brand Loyalty Videos that reflect your brand’s tone and personality build trust, ensuring customers return for repeat purchases. 4. Actionable Analytics AI tools often include analytics to track viewer behavior, helping you refine your video strategy based on real-time data. Pro Tip : Embed product videos on your homepage, product pages, and FAQs using tools like Tolstoy to keep visitors engaged and informed. 5 Best AI Video Examples for E-Commerce 1. Dynamic Product Highlights Use AI to create videos that showcase key product features. These are ideal for product pages and help customers visualize their purchases. 2. Personalized Lifestyle Videos Feature your products in real-world scenarios. For instance, demonstrate kitchen gadgets in action or display apparel styled for different occasions. 3. Social Media Ads with Targeted CTAs AI-generated videos can create attention-grabbing ads optimized for Instagram and TikTok, with direct links to shop. 4. Educational Demos or Tutorials Create step-by-step guides to help customers understand how to use your products effectively. These videos build trust and confidence. 5. Customer Testimonials Transform written reviews into dynamic testimonial videos. Highlight authentic feedback combined with visuals of your products. Pro Tip: Turn AI Video Creation Into a Conversion Engine AI-powered video isn’t just about making content faster. It’s about placing the right video at the exact moment shoppers hesitate. Auto-build PDP explainers: Use AI to turn product images and specs into 20–40 second shoppable videos that answer top objections like fit, use, or sizing right on the PDP. Repurpose once, deploy everywhere: Create one AI video and instantly resize it for PDPs, PLPs, email embeds, SMS links, and social ads to keep messaging consistent without extra work. Let shoppers choose their path: Pair AI videos with interactive formats like Tolstoy AI Player so shoppers can tap what they want to see next instead of passively watching. Optimize with behavior data: Track which scenes shoppers engage with and regenerate future videos emphasizing the moments that actually drive clicks and add-to-carts. Conclusion AI-powered video creation has made professional, engaging videos more accessible than ever. Here’s how to maximize their potential: Keep It Short and Engaging : Videos under 60 seconds perform best, especially on social media. Focus on Benefits : Highlight unique product features and customer pain points. Optimize for All Devices : Ensure your videos are mobile-friendly and load quickly. Leverage Analytics : Use insights to improve future content and boost performance. --- # Engage & Convert: Video Content for E-Commerce Growth URL: https://www.gotolstoy.com/blog/video-content-for-ecommerce Author: Samantha Becker | Published: 2024-07-19 Summary: Learn how to boost engagement and sales by integrating videos, shoppable content, and influencer trust into your e-commerce site. In the bustling world of e-commerce, standing out can be a challenge. But what if there was a way to make your online store an engaging experience? Integrating social content into your e-commerce site might just be the answer. Imagine your customers spending more time on your pages, interacting with your products in dynamic ways and feel a genuine connection through relatable influencer recommendations. How can video content, influencer endorsements, and interactive formats change the way people shop on your site? Video content can boost engagement, build trust, and drive sales. Product videos let customers see products in action, while influencer content builds credibility. The potential for growth is immense. Curious about how to optimize your video strategy for product discovery and engagement, or create compelling product videos that convert? Stay with us as we explore these strategies and more, showing you how to bring your products to life and take your online shopping experience to the next level. Key Takeaways Video keeps shoppers engaged : Adding product videos to your site can dramatically increase time spent on pages, helping customers better understand your products and stay connected to your brand. Shoppable videos drive instant action : Letting viewers click, swipe, or shop directly from a video removes buying friction and makes the path to purchase faster and more enjoyable. Product videos boost confidence : Nearly half of online shoppers look for videos before buying. Showing products in use and highlighting key features reduces hesitation and helps convert more browsers into buyers. Influencer content builds trust : Embedding influencer videos or testimonials on product pages provides authentic social proof that reassures shoppers and increases credibility. Well-made videos increase sales : Clear, concise, and story-driven videos that show products in action and highlight benefits are proven to lift conversions and strengthen customer loyalty. Boosting Engagement with Video Content Why Video is King In e-commerce, video content is incredibly effective. The statistics are clear: including videos on a website can increase the time spent on a page by 88%. This significant boost in engagement isn't just a fleeting trend but a testament to the power of visual storytelling. On average, users spend six minutes on pages with video content, a substantial increase compared to text-only pages. This extended engagement time provides ample opportunity for brands to convey their message, showcase their products, and build a connection with their audience. The preference for video over text is overwhelming, with 80% of people favoring video content . This preference is driven by the ease of consumption and the ability to convey complex information quickly and effectively. Videos can demonstrate product features, provide tutorials, and share customer testimonials in a way that text simply can't match. The dynamic nature of video content captures attention and keeps users engaged, making it an indispensable tool for e-commerce sites. Shoppable Videos Shoppable videos are changing the online shopping experience. These formats allow users to engage with the content in real time, making the shopping process more immersive and enjoyable. Shoppable videos enable customers to see products in action and make purchases directly from the video, streamlining the buying journey. This interactive approach enhances user experience and drives conversions by reducing friction in the purchase process. In-video shopping : Allow users to click on the product directly from the video to learn more or make a purchase. Swipeable formats : A native mobile experience that enables users to discover more products by swiping between product cards on the videos. In-video search : Encourage users to watch similar videos or search videos featuring different products directly from the video feed. Seeing products in action is a powerful motivator for consumers. According to Wyzowl , 82% of people have been convinced to buy a product or service by watching a video. This statistic underscores the importance of showcasing products in a dynamic and engaging manner. By integrating shoppable videos into your e-commerce site , you can create a more engaging and persuasive shopping experience that drives sales and builds customer loyalty. Enhancing Product Discovery with Video Understanding user behavior is key to optimizing the online shopping experience. Nearly 50% of online users search for product videos before making a purchase. This behavior highlights the importance of video content in the decision-making process. Product videos provide valuable information that helps users make informed purchasing decisions, reducing uncertainty and increasing confidence. The role of video in the decision-making process is multifaceted. Videos can demonstrate product features, showcase real-life usage, and provide customer testimonials. This rich, visual content helps users understand the product better and see how it fits into their lives. When these videos are presented at the right place and at the right time throughout the customer journey, the impact is outstanding. Presenting engaging product-specific videos right next to the ‘Buy Now’ button on product pages helps push customers toward the buying decision. By offering detailed and engaging product videos, across thousands of PDPs, brands can boost sales and drive conversions. Did You Know? According to the Salesforce report , during Holiday 2024, social media as a referrer drove 14% of all e-commerce site traffic, and retailers using social-commerce strategies generated 20% of sales via platforms like TikTok Shop and Instagram. Creating Trust through Influencer Content Building credibility and trust with potential customers is crucial for e-commerce success. Influencer content plays a pivotal role in this process. When influencers share their experiences with a product, they provide social proof that can sway potential customers. This is particularly effective when the influencer's content aligns with the brand's values and target audience, and when the content is presented on the product page on the eCommerce site. Integrating influencer videos seamlessly into your site can enhance credibility and drive conversions. Here are some strategies to consider: Feature influencer testimonials : Showcase videos where influencers share their honest opinions about your products. Create collaborative content : Partner with influencers to create content that highlights your products in an authentic and engaging way. Use influencer videos on product pages : Embed influencer videos directly on product pages to provide social proof and enhance the shopping experience. By incorporating influencer content into your e-commerce site, you can build trust with potential customers and create a more compelling shopping experience. This approach enhances credibility and leverages the influencer's reach to drive traffic and sales. Driving Sales with Video Marketing Direct Impact on Sales The impact of video marketing on sales is undeniable. According to Wyzowl , 87% of video marketers say video has directly increased sales. This statistic highlights the effectiveness of video content in driving conversions and revenue. Videos can showcase product features, provide tutorials, and share customer testimonials, all of which contribute to a more persuasive and engaging shopping experience. Successful video marketing campaigns often leverage storytelling to connect with the audience on an emotional level. By creating compelling narratives that resonate with viewers, brands can build a stronger connection and drive sales. Case studies of successful video marketing campaigns demonstrate the potential for growth and highlight best practices that can be applied to your own strategy. Creating Compelling Product Videos Creating engaging and persuasive product videos is an art form that requires careful planning and execution. Here are some best practices to consider: Highlight key features and benefits : Focus on the unique selling points of your product and how it can solve the customer's problem. Show products in action : Demonstrate your product, show how it is used in real life, and how customers will use it. Incorporate customer testimonials : Include testimonials from satisfied customers to build trust and credibility. Keep it concise : Aim for a balance between providing detailed information and keeping the video concise and engaging. By following these best practices, you can create product videos that not only capture attention but also drive conversions. Highlighting key features and benefits through video helps potential customers understand the value of your product and make informed purchasing decisions. Pro Tip: Turn Social Media Content into Your Best Salesperson Don’t let influencer videos and UGC sit on TikTok or Instagram alone, embed them right into your PDPs and PLPs to capture shoppers at the point of intent. Feature UGC on PDPs: Place short influencer or customer clips directly under your product gallery to build trust where it matters most. Make Videos Shoppable: Layer shoppable CTAs so viewers can tap to add to cart without leaving the video. Boost Discovery with Carousels: Curate TikTok-style video reels on your homepage or PLPs, letting users swipe through product stories instead of static images. Close the Loop with AI Player: Use Tolstoy’s AI Player to publish approved social-style clips across your site and supported mobile, lifecycle, and Shop App placements. Each connection has its own setup and eligibility requirements. Wrapping It Up: Transforming Your E-Commerce Experience Integrating social content into your e-commerce site can significantly enhance your business. Video content, with its unparalleled ability to engage and convert, leads this transformation. Shoppable videos bring products to life, making the shopping experience more immersive and enjoyable. Influencer endorsements build trust and credibility, leveraging authentic connections to drive sales. Featuring these videos on your e-commerce website ensures they reach the right audience at the right time, enhancing product discovery and boosting engagement. By embracing these innovative strategies, you can improve your online store, creating a dynamic and engaging shopping experience that resonates with customers. The potential for growth is immense, as video marketing continues to prove its effectiveness in driving sales and building brand loyalty. As you integrate these elements into your eCommerce strategy, remember: the future of online shopping is interactive, authentic, and visually compelling. Are you ready to transform your e-commerce experience and captivate your audience like never before? FAQs Where should shoppable videos live on my site to maximize conversions? Shoppable videos perform best when they are embedded close to buying triggers. Place them directly above or next to “Add to Cart” buttons on product pages. Add them in homepage hero sections to showcase new arrivals. Use them in category landing pages to help customers compare products. A/B test placement with heatmaps to see where clicks concentrate. For a deeper playbook, check out this e-commerce guide to shoppable videos . How do I measure ROI from influencer videos on my store pages? You can tie influencer video performance to sales by combining tracking tools and attribution models. Compare conversion rates on PDPs with vs. without influencer videos. Monitor assisted conversions in Google Analytics for multi-touch journeys. Deep dive into Tolstoy analytics to check every single video performance. If ROI tracking is a priority, see how brands calculate it in measuring the effectiveness of shoppable videos . What’s the best way to scale video across hundreds of product pages without slowing site speed? Scaling requires a balance of automation and optimization. Integrate the Tolstoy Player that is built to deliver smooth performance with zero impact on site speed. It requires a single, straightforward implementation. Use a video CDN (Content Delivery Network) to avoid bandwidth bottlenecks. Batch-produce standardized video templates to reduce editing overhead. Compress files for Shopify or WooCommerce using tools like Handbrake. Automate publishing through a PIM or headless CMS integration. For technical setup tips, review how to compress video size for Shopify without losing quality . How can Tolstoy’s AI Player increase engagement with my product videos? Tolstoy’s AI Player turns static videos into interactive, clickable experiences that hold attention longer. Pick your videos from the AI Player dashboard. Tag products to make them instantly shoppable. Create eye-catching carousels, widgets, and video feeds. Embed your videos anywhere, across your site, app, or emails. Measure engagement and refine your video strategy with actionable insights. Learn more about workflows inside the AI Player product page . How do I use Tolstoy AI Sales Agent to turn passive browsing into interactive shopping experiences? Tolstoy AI Sales Agent lets you guide, educate, and convert visitors in real time. Add AI Sales Agent to key pages Train it with brand and product data Enable video and try-on features Track performance in analytics Explore how this works in the Tolstoy AI Sales Agent product overview . --- # How Shoppable Videos Improve Customer Experience URL: https://www.gotolstoy.com/blog/how-do-shoppable-videos-improve-customer-experience Author: Tolstoy Team | Published: 2023-10-04 Summary: Discover how shoppable videos boost customer experience. Engage shoppers, simplify buying, and increase sales with interactive, immersive video content. Are you looking for unique ways to improve your customer experience? Short answer—video! Keeping shoppers interested and swiping for more products can be challenging for any business owner online. It isn’t easy to keep them exclusively in your store when they have a sea of options at their fingertips. Therefore, you need to make their shopping experience both easy and engaging to reign supreme. The use of video in digital marketing is on the rise, and for a good reason. Videos are a powerful way to convey your message, increase engagement, and reach more people than ever before. So, let’s see the importance of shoppable videos in improving customer experience. » Find out more about how interactive videos can boost customer engagement 1. They Are Familiar and Entertaining Shoppable videos are entertaining, engaging, and familiar to customers. Video content can help you build an emotional connection with your customers, which helps form brand loyalty. Plus, videos are more likely to be shared and watched than any other type of content. Think about TikTok videos, Reels, and FB stories, all of which are digestible. Shoppable videos should be similar, so as to feel more familiar, too. 2. They Are Convenient and Informative Shoppable videos make it easy for customers to get the information they need. Instead of lengthy product descriptions, shoppers can simply watch a short video and get a better understanding of the product. Shoppable videos can also be used to showcase tutorials, demonstrate product features , or answer customers’ questions. 3. They Ease the Shopping Process Shoppable videos make the purchase process easier for shoppers. With just a few clicks, customers can add products to their shopping carts without even leaving the video. In other words, shoppable videos can increase sales, convenience, and engagement. » Learn how shoppable videos can boost your sales on Shopify Boost Your Customers' Experience Today Shoppable videos are a game changer for customers in the digital world. This new technology allows shoppers to quickly preview products and purchase them without ever leaving the video. It’s a simple yet effective way to keep your customers happy. » Need help setting up a good shoppable video for your store? Tolstoy can help you do that and much more --- # How to Create Product Videos for eCommerce [Examples] URL: https://www.gotolstoy.com/blog/ecommerce-product-videos Author: Tolstoy Team | Published: 2023-07-18 Summary: Learn how to create engaging product videos for e-commerce. Discover tips, examples, and shoppable video strategies to boost sales and trust. Engaging potential customers is essential for your e-commerce business to succeed—it helps build brand awareness, establish customer trust, and ultimately boost your revenue. However, connecting with your audience in a meaningful way can be challenging. While having clear and attractive product photos is essential, introducing dynamic product videos to showcase your products can draw in potential customers more easily and push your business to greater success. Key Takeaways Tell a relatable story: Use storytelling to connect emotionally with your audience. Show real-life problems your product solves so customers see themselves in the story and feel compelled to buy. Tailor videos to your audience: Understand who you’re talking to. Beauty shoppers want tutorials and transformations, while tech buyers want clear specs and demonstrations. Keep it short and simple: Focus on key benefits, not technical jargon. Short videos (15–30 seconds) that highlight the essentials keep viewers engaged and more likely to convert. Make it interactive: Add clickable elements so viewers can explore products in their own way. This turns passive watching into active engagement. Use shoppable video technology: Let customers buy directly from the video. When they can click and purchase instantly, you shorten the path to checkout and boost sales. Why Do You Need E-Commerce Product Video Marketing? Product videos are a great way to bring your audience engagement to a whole new level. They can help show off the features of your product in a more dynamic way than a static image or written description. If you want to increase your e-commerce sales, incorporating well-executed product videos into your marketing strategy could be a simple yet effective way to engage your customers and encourage them to make a purchase. How to Create Product Videos for E-Commerce in Easy Steps 1. Tell a Story Telling a story about your brand or product is an important part of any marketing strategy, as it helps engage your target audience by developing an interesting narrative they can relate to. This makes potential customers more receptive to the product, company, or service you're promoting, making them more likely to invest and increase your sales. For example, Native Union tells a relatable story about modern technology. Most of us tend to spend some time on our phones before bed and get annoyed when we can't find the charger cable. Showing people in bed struggling to charge their phones, Native Union's product video builds on this familiar problem to offer its product as an easy and convenient solution. This helps establish a personal connection with potential customers, increasing the chances they'll actually buy the product. » Looking to boost sales? Try these e-commerce strategies for driving conversions 2. Know Your Audience Depending on the product you're selling, the type of video you'll create will vary. For example: If you’re trying to engage female shoppers interested in makeup, you’ll want to show them how to use the product, how much to apply, and what it looks like after application. On the other hand, if you're selling technology, you may want to mention the details that may be difficult to show in the video, like software information and specifications. Makeup company Kosas does a great job of engaging the target audience in this way. Their product videos show different stages of product application culminating in the final look, making it easy for potential customers to know exactly what to expect of the product and picture themselves using it. What's more, the inclusion of different women in their videos helps appeal to a wider audience more specifically. By understanding your target audience and their expectations, you can create product videos that really speak to your potential customers, helping engage them more effectively. When crafting your product videos, take the time to research your audience and use this information to achieve your desired effect. 3. Keep It Clear and Simple When creating product videos for e-commerce , it’s important to keep your message clear and simple so as not to overwhelm potential customers. You should provide enough information about the product’s features and benefits, but avoid going into too much technical detail. Take MIELE's product video as an example—first, it introduces the product's essential features such as its suction power and motor system in simple terms, and then goes on to briefly demonstrate the vacuum's other important benefits, like its removable handle and interchangeable nozzle. This way, potential customers get a comprehensive overview of the product without being confused with complicated details. By sticking to the point like MIELE does, you can make sure people understand your product and are more likely to buy it. Pick the Right Length In addition to keeping your message clear, it's also important not to make the video too long to keep your viewers' attention. Your video should be short enough for the audience to watch all the way through, but long enough to cover all the important details. For instance, the Honey Baby Naturals video by NaturallyCurly manages to incorporate the product's benefits and show how the shampoo can be used on a child while being just 14 seconds long. This goes to show that some product videos can be quite short and still be effective. » Discover how product demo videos help get more sales 4. Offer an Interactive Experience Making your product videos interactive is one of the simplest ways to engage your audience, as this lets them actually react to your video and brand. However, to reap the benefits of interactive videos , keep the following in mind: Provide clear instructions and visual cues Add hotspots or clickable buttons for users to choose Include polls, surveys, quizzes, and other interactive elements Videos that contain these elements can fully engage potential customers by making them active participants and letting them choose their own path while exploring your products. This allows them to control the viewing experience and get more information about what interests them. One such video is Boursin® Sensorium Virtual Reality Experience , which takes the audience on a magical ride through a food lover's fridge packed with the fresh ingredients included in Boursin® original recipes. The video lets you "grab" the screen and move it to change perspectives and look around as you wish, creating the feeling of the Boursin fridge coming to life. » Find out how interactive videos boost customer engagement Did You Know? During Holiday 2024, AI-powered product recommendations and shoppable experiences drove 20% of all global online sales according to the Salesforce report . 5. Use Shoppable Video Technology Shoppable videos are a great way to use the most up-to-date e-commerce technology to give your customers a fun, interactive experience while improving your conversion rates. Shoppable videos allow viewers to click on products that appear in the video and buy them directly from there. This is especially useful when selling clothing or jewelry, as customers can get a better idea of how the item looks and feels in action. For example, SwimOutlet's product videos featuring athletes Alex and Gretchen Walsh allow viewers to shop the exact bathing suits they wear in the videos as they watch. This way, the audience's viewing experience is complete with the with the possibility of finding the exact item they want right away, increasing the chances of sales . » Want to try shoppable videos? Learn all about shoppable videos in e-commerce Pro Tip: Turn Product Videos into Shoppable Journeys Your product videos shouldn’t just show, they should sell. Adding shoppable functionality turns passive watching into instant conversion opportunities. Tag products directly in-frame: Use Tolstoy’s AI Player to add tappable CTAs linked to product pages. Shoppers can explore and buy without leaving the video. Match storytelling with shopability: If you’re showing a routine, outfit, or recipe, tag all the items that appear in the video. Context drives clicks. Measure micro-interactions: Track product tag clicks, pauses, and replay moments, these are gold for refining PDP content and ad targeting. Conclusion Incorporating engaging product videos into your e-commerce strategy is one of the most effective ways to capture attention, build trust, and drive sales. By telling a compelling story, understanding your audience, keeping your message clear and concise, and introducing interactive or shoppable elements, you can transform passive viewers into active, interested shoppers. Well-crafted videos don’t just showcase your products, they create memorable experiences that connect emotionally with customers and inspire them to buy. FAQs How do I structure a product video that keeps viewers watching until the end? A well-structured product video should open with emotion, demonstrate benefits quickly, and end with a clear next step. Hook viewers in the first 3 seconds with motion or a relatable scenario. Highlight your main product benefit before 10 seconds. End with a CTA: shop now, explore, or personalize. Test 15-, 30-, and 60-second variations to see which sustains engagement. For a guide to storytelling formats that convert, read video storytelling for e-commerce brands . How can small brands produce professional product videos on a tight budget? Use AI-powered creation tools and user-generated content to produce polished videos affordably. With Tolstoy AI Studio automatically animates static product images into dynamic, perfectly styled videos. Combine customer clips with Tolstoy’s AI editors and ready-made templates to create instant, on-brand videos. Add text overlays and subtitles using auto-caption tools. Leverage Tolstoy AI Studio to create “On-Model” content without the need of professional photoshoot Keep videos vertical for easy reuse across TikTok, Reels, and Shopify embeds. See examples of cost-efficient success in product videos for e-commerce . How can I make my e-commerce videos shoppable and engaging like a social media feed? Turn your product videos into a dynamic, scrollable shopping experience that keeps viewers engaged and drives conversions: Tag products directly in your videos so shoppers can tap to see details, prices, and variations, without leaving the video. Add all your product videos into a swipeable feed , similar to TikTok or Instagram Reels, to create a seamless, social-style browsing experience on your website or app. Display related products alongside or after each video to encourage product discovery and increase average order value. Include a “Shop Now” overlay that links straight to the relevant product page for instant purchase. Track engagement metrics (like clicks, swipes, and views per interaction) to refine your content design and placement for maximum conversions. How can shoppable videos drive higher conversions than static product pages? Shoppable videos turn passive viewers into active buyers by shortening the journey from interest to purchase. Add product-specific videos to every PDP with Shopify PDP video embeds - engage customers and provide them with the social proof they are looking for before making the purchase. Embed autoplay shoppable videos on your homepage and collection pages to drive product discovery. Feature real people using the products to boost credibility. Enable instant add-to-cart within the video frame. Track video click-to-purchase rates via your analytics dashboard. Discover more at shoppable videos for Shopify stores . How does Tolstoy AI Studio help automate the creation of branded product videos? Tolstoy’s AI Studio automates video creation by syncing product data and generating on-brand content in minutes. Connect your Shopify catalog to auto-import product details. Choose an AI template or avatar that matches your visual tone. Generate multiple versions for testing on different audiences. Publish directly across your site, email, or social channels. See how AI video automation drives engagement in AI video tools transforming SMB marketing . --- # 3 Best Shopify Video Themes for Your Online Store URL: https://www.gotolstoy.com/blog/best-shopify-video-themes Author: Tolstoy Team | Published: 2023-06-20 Summary: Discover the 3 best Shopify themes with video integration to boost engagement, showcase products, and elevate your e-commerce store. Key Takeaways Videos boost engagement: Adding videos to your Shopify store helps shoppers connect with your brand by showing products in action and building trust faster than static photos. Brooklyn: Sleek and responsive: This theme offers full-width video banners and product video options, making it great for brands that want a modern, mobile-friendly design with high visual appeal. Dawn: Clean and versatile: Dawn’s minimalist layout supports videos on the homepage and product pages, including product-page shoppable video widgets , while keeping navigation simple and smooth, perfect for stores that want a clean look with strong storytelling. Parallax: Immersive and dynamic: With full-width video banners and video backdrops, Parallax is ideal for visually rich industries like fashion or beauty that want to create a cinematic shopping experience. Video-ready themes drive results: Choosing a theme with built-in video support can increase time on site, boost conversions, and make your brand more shareable across social channels. Adding videos into your e-commerce store can be a game changer in today's digital world, as videos can engage your audience in ways that static photos and text can't. In addition to providing a more immersive shopping experience, you can also use videos to display your items in action and highlight your product's features and advantages, developing trust with potential customers. However, not all Shopify themes enable videos. As a result, when selecting a Shopify theme for your online store, it's critical to consider one with video integration capabilities if you want to benefit from online store videos and increase sales down the line. » Want videos in your online store? Learn how to add videos to your Shopify homepage 1. Brooklyn Brooklyn is a Shopify theme that's well-known for its sleek style and mobile responsiveness . It provides a visually beautiful and engaging experience with customized homepage choices, including a full-width video banner and the ability to add videos to products and blog articles. This theme is an excellent solution for business owners looking for a Shopify theme that smoothly incorporates videos to highlight their relevant items and produce engaging content . » Need to increase Shopify engagement? Here's how video advertising can help 2. Dawn Dawn is a clean and visually pleasing Shopify theme with a simple style. Its multi-level menu and product filtering tools improve navigation, helping your clients locate their wanted items more easily. In terms of video integration, Dawn lets you smoothly incorporate video material into various aspects of your online store, including the homepage and product pages . The Dawn theme is ideal for business owners who want to successfully present their items in a visually attractive way while preserving a basic and organized structure. 3. Parallax Parallax is a visually appealing Shopify theme that's intended to offer an immersive online shopping experience . The theme's aesthetically pleasing design allows for hosting a wide range of multimedia material. Most importantly, it has a full-width homepage banner for displaying films and video backdrops for other areas like product pages. Parallax is suitable for e-commerce store owners who want to leverage videos to develop an immersive and aesthetically appealing website, especially within the fashion and beauty industries. Good to Remember Shopify’s native video hosting often compresses files. Always upload high-quality MP4s to Tolstoy for crisp playback across all devices. Tolstoy also ensures your videos are visible to LLMs and search engines with metadata and schema for every video. Pro Tip: Turn Shopify Themes into Video-Powered Sales Engines Shopify themes like Brooklyn , Dawn , and Parallax are powerful starting points for creating immersive, AI-driven storefronts. But the real transformation happens when you pair them with Tolstoy’s AI stack for video-first engagement and content generation. Brooklyn + AI Player: Transform your homepage carousel into a conversion engine by embedding Tolstoy’s shoppable videos directly into full-width banners, letting customers buy instantly without leaving the video. Dawn + AI Studio: Keep your minimalist aesthetic while scaling high-performing visuals. Use Tolstoy’s AI Studio to instantly generate studio-grade product videos and lifestyle images from beautiful, ready-made templates or simple text prompts. Parallax + AI Sales Agent: Combine cinematic video storytelling with Tolstoy’s AI Sales Agent to deliver personalized product recommendations right inside immersive video scenes. Let customers “shop the look” as they explore, turning browsing into real-time buying. When you sync these Shopify themes with Tolstoy’s AI ecosystem , every product view becomes an interactive, conversion-ready experience that scales with your creativity. Elevate Your Online Store With Video-Integrated Themes Using a theme that allows video integration can provide various benefits for your online store, including increased customer engagement, better product showing , and a more immersive buying experience. What's more, videos are easily shareable, allowing you to harness social media channels and increase the visibility of your business outside your website. As a result, properly using videos can help you successfully promote your business online and make a lasting impact on your clients. --- # 5 E-Commerce Merchandising Tips to Outshine Your Competitors URL: https://www.gotolstoy.com/blog/ecommerce-merchandising-tips Author: Tolstoy Team | Published: 2023-06-20 Summary: Discover 5 powerful e-commerce merchandising strategies to attract customers, boost sales, and stay ahead in 2025. Standing out from the crowd is critical for the success of your online business in today's highly competitive e-commerce market. With so many alternatives accessible to customers in just a few clicks, you need good e-commerce merchandising tactics to draw attention to your store. Developing a solid e-merchandising strategy can help you attract more consumers and increase your business' income in the long run. Key Takeaways Make search effortless: A clear, fast, and accurate site search with filters and autocomplete helps shoppers find what they want quickly, improving satisfaction and conversions. Personalize every touchpoint: Use customer data to tailor product suggestions, emails, and offers. Personalization makes shoppers feel valued and builds loyalty. Create immersive shopping moments: Interactive videos and rich visuals pull customers in, helping them explore products more deeply and keeping them engaged longer. Recommend smartly: Use AI-driven product recommendations to upsell, cross-sell, and suggest items that fit each shopper’s taste, increasing average order value. Simplify the path to purchase: Shoppable videos, easy navigation, and a smooth checkout experience reduce friction and make buying feel effortless, helping you outperform competitors. 1. Optimize Your Site Search Making your site search more effective is critical for enhancing the user experience in your store, increasing the exposure of your relevant items, and ultimately boosting sales . When optimizing site search for your e-commerce business, consider the following: Make the search bar more prominent Implement auto-suggest and autocomplete capabilities Provide filters and refinements Deliver only relevant search results Analyze search data Implementing these recommended practices can improve the efficacy of your site search, allowing you to distinguish yourself from your rivals and achieve more e-commerce success. 2. Rely on Personalization Personalization is a highly effective e-commerce merchandising technique because it can make potential buyers feel cherished and more involved with your brand. However, you first need to understand your target audience's demographics , preferences, and behaviors to properly integrate personalization. Try using cookies to track individual consumer interactions and build personalized experiences based on your customers' browsing and purchase history. You can use this data to send personalized emails with tailored offers and make customized product recommendations. This level of personalization can help you improve consumer experience, establish brand loyalty, and ultimately outperform your competition in the e-commerce industry. » Boost customer trust and sales with these e-commerce personalization tips 3. Create an Immersive Experience Offering an immersive experience to potential buyers can help your business leave a lasting impression on them, effectively distinguishing your business from others. E-commerce visual merchandising is an effective method to offer your customers an engaging experience, and the use of interactive videos is an excellent example. Interactive videos let your customers actively participate by clicking on various sections of the video, following visual cues, examining product features , answering polls through responsive buttons, and more. Creating engaging product videos can help keep your customers' attention and make the purchasing experience more enjoyable than that of your competitors, giving you a competitive edge in the e-commerce arena. » Here's how interactive videos can help increase sales 4. Leverage Product Recommendations Using different tactics to deliver relevant product suggestions can help you outperform your competition by making potential consumers feel that your business has more to offer. For example, you can send your customers recommendation emails with personalized product ideas, unique bargains, or collections curated to their preferences. Upselling and cross-selling are effective methods for recommending higher-priced or complementary items based on consumer preferences and purchase history. To achieve the best results with product recommendations, try sticking to these practices: Analyze customer data to understand their needs Use machine learning algorithms to get accurate recommendations Display the best products according to your customer's preferences Ensure the suggestions are highly relevant to the customer's browsing context 5. Simplify the Shopping Process Making the purchasing process in your store easy to navigate is critical for creating a great consumer experience that lets your business stand out from the competition. You can boost client satisfaction and loyalty by making the transition from browsing to purchasing as smooth as possible. An excellent technique to facilitate the purchasing experience is using shoppable videos , which let your customers immediately engage with the items they see and make purchases while viewing the content. This eliminates the need to browse multiple pages or search for specific items, streamlining the shopping process as a whole. You can combine shoppable video technology with optimizing your website's user design, developing a user-friendly checkout procedure, and providing different payment choices to create a completely hassle-free buying journey for your visitors. » Find out how shoppable videos can improve customer experience Pro Tip: Upgrade Merchandising with AI-Powered Interactivity Your merchandising strategy shouldn’t just show products, it should react to shoppers. By layering AI and shoppable interactivity into your core merchandising tactics, you can turn static browsing into dynamic buying moments. Smart Site Search Meets Video: Replace boring search results with interactive Tolstoy video previews. When shoppers search “denim jacket,” show a quick shoppable clip featuring the top product instead of plain text links. Immersive PDPs: Embed video stories with UGC and product videos where customers can explore variants, complementary products, and real-life experience right inside the clip. One-Click Discovery: Pair AI product recommendations with Tolstoy’s add-to-cart CTAs so customers never have to leave the video to buy. Triumph Over Competitors With E-Commerce Merchandising Well-planned e-commerce merchandising strategies can significantly influence the success of your e-commerce business by making your brand more memorable, boosting customer engagement , and driving sales. Adopting effective personalization, optimizing site search, providing immersive experiences, using product suggestions, and streamlining the purchase process can help your e-commerce store stand out from the crowd, giving your potential customers an overall positive impression. --- # Autoplay Videos on Shopify: Step-by-Step Guide URL: https://www.gotolstoy.com/blog/how-to-make-videos-autoplay-on-shopify Author: Ali Shah | Published: 2023-06-20 Summary: Learn how to make videos autoplay on your Shopify store. Boost engagement, showcase products, and increase conversions with this step-by-step guide. Adding autoplay videos to your Shopify store can help you quickly capture visitors, enhance engagement, and increase conversions . You can attract attention, highlight your items, and create an immersive experience by automatically playing videos. These videos can give a visually appealing touch to the customer experience in your store, making it more memorable. What's more, autoplay videos also allow for excellent storytelling , allowing you to accurately express your brand's message and values. » Looking to increase engagement? Here's how video advertising can help Key Takeaways Autoplay videos grab attention fast: Automatically playing videos on your Shopify site can instantly capture visitors’ interest and encourage them to explore your products. Simple setup in Shopify: You can enable autoplay by adding a video block in your theme, pasting the video URL or embed code, and saving your changes, no coding expertise required. Enhances storytelling: Autoplay lets you share your brand’s story or highlight product benefits the moment shoppers land on your page, creating an emotional connection. Improves engagement and conversions: Moving visuals keep customers on your site longer and can increase sales by showing products in action. Ideal for key pages: Use autoplay videos on your homepage or product pages to make a strong first impression and deliver a more dynamic shopping experience. 7 Steps to Make a Video Autoplay on Shopify To make your videos autoplay on Shopify, follow these steps: 1. Log in to Your Shopify Admin Panel Input your login information to access your Shopify account and navigate to the admin panel to make changes to your store. 2. Navigate to the "Online Store" Section Select the "Online Store" option from the sidebar menu to access the settings related to your store's online presence. 3. Choose the "Themes" Option In the "Online Store" section, click on "Themes" to manage and customize the theme that's currently applied to your Shopify store. 4. Locate the Desired Section Find the specific section on your store where you want the video to autoplay, such as the homepage or one of your product pages. 5. Add a Video Element Add a video element or block within the selected section that allows you to embed videos. Good to Remember Autoplay works best when it feels silent, smooth, and skippable, like background movement, not a hard sell. 6. Insert the Video URL or Embed Code Provide the video's URL or embed code in the designated field to link the video content to the autoplay feature. 7. Save the Changes After adding the video, save your changes to apply the autoplay feature and ensure your video now plays automatically. » Want to add videos on Shopify? Learn how to add videos to your Shopify homepage Pro Tip: Use Autoplay Videos to Hook Shoppers Instantly on Shopify Autoplay videos can turn casual visitors into captivated buyers, if used smartly. Instead of blasting sound, design autoplay as a silent invitation to engage. Keep it silent, but moving: Always set autoplay videos to mute by default and rely on captions or motion to convey value. This ensures they auto-play smoothly without disrupting user experience. Use Tolstoy embeds: Replace standard Shopify video blocks with Tolstoy’s AI Player , which supports autoplay, adds interactive layers like “Shop Now” or “Learn More.”, and is optimized for site speed and SEO visibility. Start with your hero section: Place an autoplay video banner showing your top product in action, which is especially effective for new launches or seasonal drops. Loop for engagement: Short looping clips (6–12 seconds) work best; they keep motion continuous without distracting from navigation. Use the Advantage of Autoplay in Your Shopify Store Autoplaying videos in your Shopify store has various potential advantages, including higher consumer engagement and increased sales . By learning how to use the autoplay option, you'll be able to attract visitors, efficiently express your brand's message, and graphically highlight product characteristics more easily. Keeping in mind these benefits, making your Shopify videos autoplay seems like an easy way to contribute to your Shopify store's growth. FAQs How can I ensure autoplay videos don’t slow down my Shopify store? Use Tolstoy AI Player as well as lightweight formats and compressed files to keep load times fast while still autoplaying videos. Leverage Tolstoy AI Player that is optimized for site performance with zero impact on site speed. Compress your videos with tools like HandBrake or Shopify’s built-in optimization. Use MP4 with H.264 codec for the best balance of quality and size. Host videos on a CDN to reduce bandwidth strain. Test load speed on mobile using Shopify’s performance analyzer. For a detailed guide on optimization, see how to compress video size for Shopify without losing quality . What’s the best way to use autoplay videos for product storytelling? Autoplay videos are most effective when used as short, emotional brand moments or quick product demos. Keep videos under 15 seconds for fast storytelling. Start with motion in the first second to capture scrollers. Use subtitles or on-screen text since many users browse with sound off. Place them at the top of your homepage or within product hero sections. For inspiration, explore brilliant ways videos can increase your conversion rates . Can autoplay videos be combined with shoppable video experiences? Yes, embedding shoppable autoplay videos can turn your homepage into a conversion engine. On product-detail pages, PDP video widgets can keep the same motion experience tied to product cards and checkout intent. Use a platform that supports interactive video embeds like Tolstoy. Set autoplay on mute for seamless browsing compliance. Tag clickable product cards to link directly to product pages. Measure click through rate per hotspot to optimize layout. Learn how to do this in our article on 3 ways to embed shoppable videos on Shopify . How can I make Shopify autoplay videos interactive with Tolstoy AI Player? With Tolstoy AI Player, you can embed autoplay videos that respond dynamically to viewer behavior. Open Tolstoy AI Player . Upload or paste your video URL and enable “autoplay on load.” Add interactive elements like product tags, questions, or CTA buttons. Copy the embed code and insert it into your Shopify theme block. You can see how brands elevate engagement in our article on how interactive video marketing enhances customer engagement . --- # Boost Sales with Quality Dropshipping Product Videos URL: https://www.gotolstoy.com/blog/dropshipping-product-videos Author: Tolstoy Team | Published: 2023-05-09 Summary: Discover how to find and use quality product videos for your dropshipping store. Build trust, engage customers, and increase sales. Although running a dropshipping store doesn't require you to have a physical storefront or any upfront inventory budget, you still need to think about product presentation. Dropshipping is a business model where a retailer doesn't keep inventory of the products they sell but purchases items from a third-party supplier who ships the products directly to the customer. One of the key elements of a successful dropshipping store is the ability to effectively showcase the products you're selling. This is where product videos come in—quality product videos can help potential customers get a better understanding of the product and its features, ultimately helping drive conversions . Along with improving customer experience , quality product videos also build trust with your customers. » Why you need quality product videos : discover how product demo videos can increase sales Key Takeaways Know your product and audience : Understanding what your item offers and what your shoppers care about helps you choose videos that highlight the right details. Search across major platforms : Look for clear, well lit videos on places like YouTube or Google that show the product from multiple angles and explain real benefits. Check the creator’s credibility : Pick videos from reliable sources so you are sharing accurate information that builds trust with shoppers. Give proper credit : Mention the creator when you use someone else's video. This keeps things transparent and can open the door to future collaborations. Consider partnerships for ongoing content : Working directly with creators or manufacturers can give you a steady supply of high quality videos tailored to your store. 1. Research Your Products The first step to finding quality product videos for your dropshipping store is thoroughly researching your products. This includes not only knowing your products' features and benefits but also how appealing they'd appear to your target audience . By learning more about your target audience, you can make more informed decisions about what elements your product videos should have. 2. Search for Videos When searching for quality product videos for your online store, head to different search engines like Google and YouTube . You should select the videos that emphasize the products' benefits and features, but make sure they also have clear visuals and cover all angles of the product. In addition, pay attention to the creator’s reputation to ensure the video is reliable. If possible, consider reaching out to the manufacturer directly to see if they have any product videos available that you can use in your store. » Not sure what product video to choose? Get inspired with these product video examples Did You Know? Dropshipping conversion depends heavily on clarity. One tight, well-edited video often outperforms five mediocre supplier clips. 3. Credit the Creators When using product videos created by others in your store, it's important to credit the creators for transparency. You can do so by including the link to their channel or website or simply by mentioning their name in the video description. This can also lead to a great collaboration if you find a creator that aligns with your brand and audience. Reaching out to them to create more product videos for your store can help build a relationship with the creator and give you regular quality content that resonates with your audience. Pro Tip: Upgrade Dropshipping Product Videos With AI Studio (Even When You Don’t Create the Footage) Here’s how to turn “found” videos into high-converting Tolstoy assets your shoppers actually engage with. Build a Clean, Brand-Consistent Edit: Import any supplier or creator video into Tolstoy’s AI Studio and generate a fresh cut that matches your brand’s tone, pacing, and color style so it feels native to your shop. Add Instant-Shopping Moments: Add tags to the videos so that shoppers can tap to see variants, shipping timelines, or compatibility, which is critical for dropship items where expectations vary. Turn UGC Into Trust Anchors: Grab real UGC snippets, then let AI Studio auto-generate text overlays like “How it really looks” or “Unboxed in 10 seconds,” which lift credibility for products you don’t physically handle. Auto-Create Multiple Formats: Produce PLP loopers, PDP explainers, and short social versions in one click so every touchpoint gets its own optimized video. Easily Find Your Ideal Product Videos Having high-quality product videos can significantly improve the performance of your dropshipping business. They help present your items in the best light possible, build trust with your audience, and ultimately drive sales. While choosing the best product videos to feature in your store can seem challenging, you can simplify the process and make sure you've made the right pick by researching your items and target audience, looking for trustworthy videos, and partnering with artists. --- # Boost Sales with These E-Commerce Personalization Tips URL: https://www.gotolstoy.com/blog/ecommerce-personalization-tips Author: Tolstoy Team | Published: 2023-05-09 Summary: Discover how to personalize your eCommerce store with effective tips that enhance customer experience, sales, and loyalty. Key Takeaways Personalization drives growth : Tailoring the shopping experience helps turn casual visitors into buyers and builds long-term loyalty in a crowded market. Start with a personalized homepage : Use past behavior to show relevant products or videos right away so shoppers feel understood from their first click. Recommendations should feel relevant : Filter products by interests, location, or season to help customers quickly find what actually fits their needs. Video makes personalization stronger : Personalized product videos explain value, features, and use cases more clearly than images or text alone. Trust leads to higher conversions : When shoppers see products presented in a way that matches their interests, they feel more confident and are more likely to buy. With the e-commerce industry growing at rapid pace, personalizing your customer experience is the key to thriving in its competitive world. It can make all the difference between a successful sale and a missed opportunity. By leveraging the power of personalization, online stores can do more to cater to their customers and encourage customer loyalty, ultimately boosting sales as well. Check out the ways you can incorporate more personalization in your e-commerce store. 1. Personalize the Homepage Creating a personalized homepage is one of the best ways to promote your business online and make your customers feel like valued members of your brand. With the use of cookies, you can gather information about your customers' past interactions and interests and use it to create a more tailored experience on your homepage. An easy yet effective way to achieve this is by incorporating recommendations in the form of product videos that match your customers' general interests. By customizing the user experience from the get-go, you can make sure your customers feel appreciated as soon as they visit your store and increase the possibility of conversions. One example of a website that does this well is Netflix, which uses personalized videos on their homepage to make sure users see the content tailored to their preferences. » Here's how to add videos to your Shopify homepage 2. Personalize Product Recommendations Product recommendations are an important part of the e-commerce experience because they can help customers find the products they need more easily. When choosing recommendations, consider incorporating the following for the best results: Different types of filtering Location-specific products Seasonal items For the highest level of personalization, you can use videos to show your customers exactly how their recommended product works, what features it has, and why it may be the perfect choice for them. By creating personalized product explainer videos , you can help your customers learn more about the product before purchasing, building customer trust and leading to more sales. » Learn more about shoppable videos in e-commerce Pro Tip: Personalization Works Best When Shoppers Can Choose Personalization is most effective when customers actively guide their own experience instead of being passively shown recommendations. Personalize with intent, not just data: Use Tolstoy interactive videos on your homepage that ask a simple question like “Who are you shopping for?” or “What are you looking to solve?” and route shoppers to relevant products instantly. Swap static recs for shoppable explainers: Replace generic “Recommended for you” grids with short product videos that explain why a product fits that shopper’s needs, use case, or season. Match personalization to placement: Use broader interest-based videos on the homepage, and hyper-specific shoppable videos on PDPs where intent is highest and decisions happen faster. When that product story needs to continue after the session, use video to continue personalized product stories in email flows instead of resetting to a generic reminder. --- # How to Compress Video for Shopify While Preserving Detail URL: https://www.gotolstoy.com/blog/how-to-compress-video-size-for-shopify-without-losing-quality Author: Ali Shah | Published: 2023-05-09 Summary: Reduce Shopify video file size with a repeatable export test. Check current upload limits, product detail, mobile playback, and page performance. To compress a video for Shopify, keep an original master, trim unnecessary footage, export a web-friendly copy, and compare that copy at the size shoppers will see. The goal is a smaller file with acceptable visible detail. Re-encoding is usually lossy, so “without losing quality” should mean no unacceptable visible change in your intended placement. Start by separating two questions: can Shopify accept the file, and does the finished page play it well? An upload below the file limit can still be too heavy for your page design. Check Shopify's current video limits Shopify's [product-media documentation](https://help.shopify.com/en/manual/products/product-media/product-media-types) lists uploaded video support for MP4, MOV, and WEBM, up to 10 minutes, 1 GB, and 4K resolution of 4096 × 2160. These are acceptance limits, not targets for every product page. Shopify converts and serves uploaded video in supported playback formats and resolutions. A 1080p export can be a sensible trial for many placements, but 1080p is not Shopify's maximum upload resolution. Check the current documentation and your theme's media behavior before choosing the final file. Create a comparison export 1. Save the original master. Always create a new output file rather than repeatedly compressing a compressed copy. 2. Cut footage that does not help the shopper: a long lead-in, repeated movement, or an empty end frame. 3. Keep the intended aspect ratio. Do not stretch a vertical clip to fill a horizontal frame. 4. Use an MP4 export with H.264 as a broadly compatible starting point. Keep the source frame rate unless the placement gives you a reason to change it. 5. Export a short, difficult section first. Include movement, a label, fine texture, or a gradient that may show compression artifacts. 6. Compare the original and exported sample at the actual display size before processing the full clip. In HandBrake, start with an appropriate preset and use its quality control for small adjustments. Its [quality documentation](https://handbrake.fr/docs/en/latest/workflow/adjust-quality.html) suggests RF 20–24 as a starting range for 1080p using the x264 encoder. Lower RF means higher quality and generally larger files for that encoder. Other encoders can use different scales; do not copy an RF number between them and expect the same output. Choose what to change when the file is still too large What you observe Try next Check before keeping the change The clip repeats the same point Shorten the edit The product question is still answered The source is much larger than the display Compare a lower-resolution export Small labels and texture remain clear There is visible blocking or banding Increase export quality The file remains practical for the placement The product is blurry after repeated exports Return to the master Only one final compression pass is used The file is small but the page is slow Inspect loading and player behavior The problem is not another page asset or script For a fixed-duration video, bitrate is a useful size estimate: total megabits per second × seconds ÷ 8 gives approximate megabytes, before small container overheads. For example, a 20-second file at a total 4 Mbps is roughly 10 MB. This is an illustration, not a recommended bitrate for every product. Check playback in the actual Shopify page Upload the candidate to a theme preview or other review environment available to your team. Test the page on a narrow mobile screen and a desktop screen, including a slower connection. Compare it with the same page before adding the video. - Confirm that the poster appears correctly and the page does not jump when the media loads. - Play, pause, seek, and replay. Check audio and captions when they are needed. - Look at text, reflective surfaces, fabric patterns, and fast motion after Shopify has processed the upload. - Check keyboard access to controls and keep essential product information available outside the video. - Record the file size, export settings, playback result, and page-performance measurements together. A successful upload is not evidence of fast playback. A player, multiple video placements, images, and other scripts all affect the page. Avoid assuming that any video tool has zero performance impact. Choose the publishing workflow Use Shopify product media when that matches the placement and controls you need. Use a separate player when your requirements include additional presentation or product interaction. Compare the actual result in your theme. [Tolstoy AI Player](/product/ai-player) supports shoppable video experiences, while [AI Studio](/product/ai-studio) supports content creation. Evaluate the player and the source file together; do not expect a generation workflow to replace an export-quality check. For the broader placement decision, see the [Shopify video app guide](/shopify-video-app). If your next destination is email, use a linked thumbnail rather than assuming the video will play inside every inbox; the [Klaviyo flow guide](/blog/video-klaviyo-flows-shopify) covers that setup. Talk to Tolstoy about your Shopify video placement and bring a sample clip, theme, and the playback issue you need to solve. --- # What's Connective E-Commerce & How It Benefits Your Business URL: https://www.gotolstoy.com/blog/what-is-connective-e-commerce-how-can-it-benefit-your-business Author: Tolstoy Team | Published: 2023-05-09 Summary: Discover how connective e-commerce streamlines online sales, lowers startup costs, and enhances customer experience to help your business grow faster. Key Takeaways Sell without high upfront costs: Connective e-commerce lets you launch an online store without managing inventory, warehouses, or fulfillment, which lowers risk and startup expenses. Focus on selling, not logistics: You handle marketing and sales while partners manage fulfillment, freeing up time to grow your brand instead of running operations. Create a smoother customer experience: By connecting multiple sales channels into one system, you give shoppers a more seamless journey, which can increase satisfaction and repeat purchases. Run everything from one place: Managing different channels through a single platform reduces manual work, cuts down on errors, and improves team productivity. Reduce platform risk: Because your store is not dependent on just one channel or payment provider, you are less exposed if one platform changes policies or performance drops. Connective e-commerce refers to a lower-risk strategy for opening an online store without investing in web developers, inventory storage, and order fulfilment. Instead, this model uses technology to connect different parts of the e-commerce process for a seamless shopping experience that boosts customer engagement . This approach differs from the traditional e-commerce module because it handles sales but outsources order fulfillment, as opposed to the sellers who handle the entire process with traditional e-commerce. While this makes connective e-commerce similar to dropshipping, this process is more developed—rather than merely reselling products, connective e-commerce focuses on creating a more streamlined e-commerce experience. » Looking to boost your online store's sales? Try these e-commerce strategies to drive conversions Good to Remember If you outsource fulfillment, double down on owning discovery and decision-making. The brand that controls guidance controls margin. 4 Benefits of Connective E-Commerce Businesses can benefit from connective e-commerce in various ways, including: 1. Enhanced Customer Experience Connective e-commerce can enhance the customer experience by integrating multiple sales channels and providing a seamless shopping experience. This, in turn, can lead to increased customer satisfaction and loyalty. 2. Increased Productivity This approach can streamline business operations and improve efficiency by allowing businesses to manage all sales channels from a single platform, reducing the need for manual data entry and minimizing the risk of errors. 3. Opportunity to Compete More Successfully Connective e-commerce reduces some of the risks associated with traditional e-commerce, such as relying on a single platform or payment gateway. 4. Comparatively Lower Startup Cost Compared to traditional brick-and-mortar retail businesses that require big starting investments, connective e-commerce offers lower startup costs. Pro Tip: Turn “Connective E-Commerce” Into a Revenue Engine With AI Commerce Connective e-commerce works best when you connect content, data, and checkout, not just tools. Unify discovery across channels: Use Tolstoy AI Player to syndicate the same shoppable video across PDPs, PLPs, email, and SMS. This keeps messaging consistent while tracking revenue by placement, not just traffic source. Own the conversion layer: Even if fulfillment is outsourced, embed AI Sales Agent on high-intent pages. Let it answer product questions, compare SKUs, and recommend bundles so you control the buying journey, not just the transaction. Connect data to personalization: Sync Shopify data with AI Studio to auto-generate product-specific videos. Trigger different videos for new vs. returning visitors to increase CVR without increasing ad spend. Measure cross-touch influence: Track assisted conversions from video viewers and AI chat users. In connective e-commerce, influence matters as much as last-click sales. --- # UGC Video Marketing: The Future of Brand Growth URL: https://www.gotolstoy.com/blog/why-ugc-videos-are-the-future-of-video-marketing Author: Tolstoy Team | Published: 2023-05-09 Summary: Discover why UGC videos are the future of video marketing. Build trust, boost engagement, and drive conversions with authentic, user-created content. In today's digital world, audiences crave authenticity—and user-generated content (UGC) videos offer just that, which is why they may be the future of video marketing. UGC videos allow for a more genuine connection between your brand and consumers, boosting customer trust and ultimately increasing sales . User-Generated Content (UGC) UGC refers to any content produced by individuals as opposed to corporations, be it user reviews, video testimonials, or product images. Businesses routinely share UGC on their social media profiles, websites, and user-generated video platforms as part of their influencer marketing strategies. » See how videos can improve customer experience The Benefits of UGC Videos Boosting credibility :Customers trust people more than brands. If your audience sees a UGC video of a real user recounting their positive experience with your product, they're more likely to accept it as a credible testimony from an unbiased source. Increasing engagement :UGC video content is more easily shareable, which helps promote your brand online on popular platforms like Instagram and TikTok. This can vastly improve brand awareness and increase customer engagement , boosting your sales down the line as well. Offering cost-effectiveness :As users will generate their own videos, all you'll need to do is integrate them into your effective marketing strategy . Getting the finished product directly from the users will save you money on producing your own videos, not to mention time and effort. Creating a community :UGC videos can help bring together people who share an interest in your product by demonstrating how real people use and enjoy it. This can spark conversation and place your business at the center of a niche audience, ultimately improving sales. Improving conversions :Once UGC videos made by repeat clients build trust with potential consumers, they're more likely become customers themselves and drive conversions for your brand . » Looking to maximize your conversion rates? Use these tips for shoppable video ads Harness the Power of UGC Videos for Your Brand In addition to boosting your brand's online visibility, UGC videos can help you establish your brand as trustworthy by offering authentic user perspectives on what you have to offer. By giving potential consumers a glimpse of your customer's honest opinions, UGC videos can help engage your audience through more easily digestible and genuine content. For this reason, this approach can be an even more effective online marketing tool than traditional advertising. --- # 5 E-Commerce Product Page Mistakes to Avoid URL: https://www.gotolstoy.com/blog/ecommerce-product-page-mistakes Author: Tolstoy Team | Published: 2023-05-05 Summary: Avoid 5 common e-commerce product page mistakes that hurt sales. Learn how to optimize descriptions, reviews, and checkout for more conversions. Key Takeaways Write clear, confidence-boosting product descriptions: Avoid vague or filler words and focus on describing exactly what shoppers can expect. Use your copy to remove buyer hesitation by showing value, lifestyle appeal, and urgency. Use social proof to build trust: Display customer reviews, testimonials, and user-generated photos or videos directly on your product pages. Seeing real experiences reassures new visitors that your products deliver on their promises. Upsell and cross-sell smartly: Recommend upgrades, bundles, or complementary products to increase average order value. Subtle, well-placed suggestions during browsing or checkout can lift revenue without feeling pushy. Add product videos to improve engagement: Videos help customers visualize the product in action, answer common questions, and build confidence to buy. Short demos, how-tos, or testimonials can make your listings more persuasive. Simplify checkout to prevent cart abandonment: Offer guest checkout, multiple payment options, and transparent pricing. Keep forms short, optimize for mobile, and use security badges to build trust at the final step. Your eCommerce product page is crucial for driving conversions and sales. In fact, studies show that over 75% of online shoppers say that the product page is the most important factor in making a purchase decision. So, if your product page is lacking, you could be missing out on a lot of potential sales. To help you improve your eCommerce product page and boost conversions, we've compiled a list of 5 common mistakes to avoid. 1. Unclear Product Descriptions Clear and compelling product descriptions are essential to successful eCommerce sales. When writing ecommerce product descriptions, avoid vague words, eliminate buyer’s guilt, be original, sell a lifestyle, and use keywords. Avoid Vague Words Avoid vague descriptions by painting a clear picture of your product. Words such as the following should be avoided at all cost: Nice Very Just Actually Literally Kind of Instead, use descriptive words that paint an accurate picture of what you are selling. Eliminate Buyer’s Guilt Majority of online shoppers experience buyer’s guilt before finalizing an online purchase. Your job as an online store owner is to use your product description to eliminate buyer’s guilt. Provide shoppers with a sense of urgency. Tell them that your offer is valid for a short period of time, so they’ll feel justified after making a purchase. Tell shoppers that the product can do many things. A simple sunglasses can become multi-purpose if you present it well (i.e. “This glasses will keep your eyes out of the sun while giving you a fun and sexy look.”). Let buyers know they are getting a great deal. When you get rid of buyer’s guilt, your customer walks away satisfied, while you make a sale. Be Original Don’t plagiarize; ensure to write original product descriptions. Include Keywords Keywords play a major role in getting your product descriptions to feature at the top of the search engines. Don’t stuff them but use them sensibly. Sell a Lifestyle Don’t just sell a product, sell a lifestyle. When your buyers know your product is an essential part of their wardrobe, they’ll be more than willing to buy. 2. Not Leveraging Social Proof Leveraging social proof is crucial for the success of your eCommerce store. Social proof refers to any positive comments or reviews about your business or product, which serve as endorsements from satisfied customers. Online reviews play a critical role in shaping your brand's reputation, as they provide potential customers with insights into the experiences of previous buyers. In fact, research shows that 92% of consumers read online reviews, and 80% of shoppers trust them more than traditional advertising. Therefore, if you want to increase conversions, you cannot afford to ignore customer reviews, as products without reviews can be seen as untrustworthy. The Power of Reviews in eCommerce Social Proof They enable you to market with the voice of the customer, which carries more weight than self-promotion. They engender trust and credibility by providing evidence that your products are worth buying. They nurture customer loyalty by acknowledging and responding to customer feedback. Top-performing online stores not only use customer reviews but also leverage user-generated content on the product page to persuade visitors to buy. For example, OutdoorMaster showcases social media posts from current customers to convince prospective buyers of the quality of their products. By featuring social proof on your product pages, you can increase trust and credibility, and ultimately drive more sales. Did You Know? During the 2024 holiday season, AI-driven shopping generated $229 billion (19% of global online sales), as chat-assisted purchases jumped 42% year over year, according to the Salesforce report . 3. Missing Opportunities to Upsell and Cross-sell To increase revenue in your online store, you have two options: upselling and cross-selling. By utilizing both tactics, you can increase your average order value (AOV). Upselling and cross-selling are different in several ways: Upselling involves convincing customers to buy a more expensive version of the product they originally intended to buy, while cross-selling invites customers to purchase related or complementary items. Upselling aims to increase sales revenue, while cross-selling increases both the number of items sold and the total sales value. Upselling increases the average purchase value, while cross-selling increases both the average purchase value and the average sale value per customer. If you’re a Shopify store owner, you can use the Zoorix App to implement upselling and cross-selling strategies. Hooked Coolers, a Florida-based company that designs and ships coolers and accessories, effectively uses these tactics as shown in the image below: 4. Not Using Product Videos One of the most common mistakes online store owners make on their product pages is not using product videos. As customers cannot physically interact with products before purchasing them, it's crucial to provide as much information as possible. Product videos not only showcase the product's features but also offer a glimpse into the various lifestyle uses, making it easier for customers to visualize the product in their home. This level of personalization increases the likelihood of a purchase, and ultimately, boosts sales. Furthermore, product videos can help in creating an engaging customer experience, improving SEO, and showcasing testimonials, among other things. Types of product videos include how-to, demonstrations, shoppable videos, unboxing, testimonials, and quizzes, each offering a unique way of presenting the product to the customer. 5. Complicated Checkout Process A complicated checkout process is one of the primary reasons why shoppers abandon their carts. To avoid this, you should make sure to: Optimize for Mobile More than half of the people visiting your online store are doing so from a mobile device. Therefore, it is essential to optimize your eCommerce product page for mobile devices. Make sure that the checkout process is smooth and easy to navigate on small screens. Allow for Guest Checkout Allowing shoppers to buy as guests will make the checkout process faster and more convenient. They should not be forced to provide personal information before they can proceed with their purchase. Avoid Asking Too Much Information If you ask for personal information on the checkout page, make sure to ask for only the essential details that are required for the purchase. Asking for too much information can frustrate shoppers and make them abandon their carts. Offer Multiple Payment Methods Provide shoppers with different payment options, so they can choose the method that is most convenient for them. Don't limit people to a single payment method. Disclose All Costs and Fees Make sure to be transparent about all the costs and fees involved in the purchase. Don't surprise buyers with additional costs they didn't know about. Be upfront about the total cost, including taxes and shipping fees. Use Security Seals and Badges Using security seals and badges on your checkout page can help build trust and credibility. These elements reassure shoppers that their personal and financial information is safe and secure. Pro Tip: Stop Treating Your PDP Like a Static Page Your product page isn’t just a digital shelf, it’s your brand’s top-performing salesperson. Here’s how to turn it into a real conversion engine. For a deeper checklist, see how to make product pages ready for AI shoppers : Add Product-Specific Shoppable Videos: Instead of flat visuals, embed Tolstoy’s AI Player so shoppers can interact with product demos, testimonials, or UGC directly on your PDP. Shoppable video has proven to drive deeper engagement and quicker buy decisions. Use Predictive Prompts: Let Tolstoy AI Sales Agent surface complementary or higher-value products automatically (like accessories or bundle upgrades). This subtle upsell feels helpful, not pushy. Leverage Real Reviews in Video : Feature dynamic clips from verified customers on your PDP. TikTok-style authenticity builds trust faster than text. Conclusion In addition to avoiding these mistakes, it's also important to continuously test and optimize your eCommerce product page. A/B testing different elements such as product descriptions, images, and checkout process can help you identify what works best for your audience and lead to even more conversions. Remember, the eCommerce landscape is constantly changing, so staying up to date with the latest trends and best practices is key to success. --- # 7 Tips to Create Engaging Shoppable Videos URL: https://www.gotolstoy.com/blog/engaging-shoppable-videos Author: Tolstoy Team | Published: 2023-05-05 Summary: Boost engagement and sales with interactive, mobile-friendly shoppable videos. Learn 7 proven tips to captivate your audience. Key Takeaways Tell a story that connects emotionally: Use storytelling to make your shoppable videos more relatable and memorable. A personal or lifestyle-driven narrative helps viewers connect with your brand and builds trust. Keep videos short and focused: Short-form videos hold attention better and perform best on platforms like TikTok, Instagram Reels, YouTube Shorts and on your online store. Get to the point quickly and showcase your products naturally. Make visuals and sound pop: Eye-catching visuals, dynamic lighting, and lively audio can instantly grab attention. Use music or voice-overs to emphasize key messages and set the right tone. Add interactive features to boost engagement: Polls, quizzes, clickable product tags, and other interactive elements keep viewers involved and make it easier for them to shop without leaving the video. Design for mobile-first viewing: Most people watch videos on their phones, so keep them vertical, concise, and easy to tap through. Optimize layout and features for a smooth mobile shopping experience. Video content has become increasingly popular among brands as a way to engage with their customers. However, maximizing engagement and conversions can often be challenging. Fortunately, there are strategies that brands can use to make their videos more engaging and convenient for viewers. In this blog post, we’ll discuss some of the best tips for making your video content more interactive and effective at driving sales. So, if you’re looking for ways to make your shoppable videos stand out from the crowd , read on!​ For a structured comparison of Shopify shoppable video options by job, see Shopify shoppable video compared . Why Shoppable Videos? Research shows that a whopping 97.8% of US internet users aged 18-24 prefer watching videos. This is followed by users aged between 12 and 17, of which 96.2% like watching videos. That’s why it’s so important for brands to create shoppable video content that resonates with their target audience and can be easily consumed. With shoppable videos, the viewer can click or tap a product they see in the video while it’s playing, allowing them to quickly purchase items without leaving the video experience. This helps drive conversions and engagement, and it gives customers an intuitive way to buy products online. 7 Best Tips for Making Shoppable Videos More Engaging From epic video content to interactive features, here are some of the best tips to help you make your shoppable videos more engaging: 1. Tell a Story The biggest challenge that brands face is how to make their video content stand out from the competition. With video marketing taking over the digital space, it can be difficult to stand out and create videos that viewers pay attention to. The best way to ensure your video content is engaging is by telling a story. For example, if you’re selling clothing, tell the viewer how the product helped you look your best or overcome an obstacle in your life. This will help create a personal connection with viewers, which will make them more likely to engage with your brand. » Read more about why telling a story is a great marketing strategy 2. Highlight Key Products Another great way to make your videos more interactive is by highlighting key products in them. This will draw attention to these products , which can then be clicked on for easy purchasing. You can also include quick descriptions about each product or service you’re showcasing in order to give your viewers more information. This is a good way to create shoppable content without disrupting the flow of the video. 3. Keep It Short and Simple When it comes to creating engaging video content, less is definitely more. A recent survey has shown that viewers are more likely to engage with short-form videos than long ones. Short videos can help you ensure that your viewers stay engaged throughout the entire video and don’t lose interest halfway through. Think about social media channels like TikTok , Shorts, and Reels—these platforms are all about short but powerful video content. So, keep your videos concise and get straight to the point! » Looking for inspiration? Check out some of the best short shoppable videos 4. Use Captivating Visuals People often watch videos to be entertained, so make sure you’re using captivating visuals to draw viewers in and keep them interested. You can use creative animation, dynamic lighting, or other visual elements to make your video content stand out. 5. Include Interactive Features Interactive features can be a great way to keep viewers engaged and drive conversions. Whether you’re introducing polls, quizzes, surveys, or product links in the video itself, there are plenty of opportunities for adding interactive elements to your video content—you just need the right interactive marketing tools for that. 6. Add Lively Audio To further engage viewers, you can add catchy music or sound effects that will get people’s attention. Adding a soundtrack is also a great way to set a specific mood. Additionally, you can also add a third-person voice-over to spice up the video, which can help emphasize key points and make it easier for people to understand the message. 7. Maximize Mobile Format Videos The majority of video content is consumed on mobile phones and tablets. We can say that video and mobile go hand in hand, which is why it’s important to ensure your content is properly formatted to fit these platforms. In fact, 90% of consumers watch videos on their mobile . This implies keeping the video short and concise, following the vertical format, and making it easy to find the information they need. In addition, you should consider adding interactive elements that are specifically designed for a mobile-viewing experience. If you want to turn these engagement principles into a store-ready workflow, use this guide to build shoppable AI videos for Shopify from product content. » Want to learn more? Read our 5 tips for maximizing mobile engagement Pro Tip: Make Every Frame Sell Itself With Interactive Shoppable Video Your videos shouldn’t just show your products, they should sell them. With Tolstoy’s AI Player, you can turn every second of your content into an engaging, clickable shopping experience that converts. Add Tap-to-Shop Product Tags: Let viewers shop as they watch. Product tags help keep the buying flow natural and effortless. Mix Storytelling and Commerce: Frame your product around a lifestyle or transformation story, it makes clicks feel emotional, not transactional. Build Mini Quizzes or Polls: Use interactive prompts (“Which shade fits you best?”) mid-video to boost engagement and personalize product suggestions. Design Mobile-First: Keep it vertical, short, and scroll-stopping. Most viewers watch (and buy) from their phones. Engage Your Audience Today! Creating engaging video content is essential for businesses today. By following the tips above, you’ll be able to create videos that will increase the chances of your viewers actually making a purchase. And if you’re thinking of investing in shoppable videos, you may be glad to know that you don’t need a massive budget for that. With the right tools and tips in place, and with the right platform such as Tolstoy , you can produce fantastic interactive and shoppable video content that will help you reach your target audience. So what are you waiting for? Start creating engaging video content today! --- # Shoppable Video ROI: Measuring Sales and Effectiveness URL: https://www.gotolstoy.com/blog/measuring-the-effectiveness-of-shoppable-videos-sales-and-roi Author: Tolstoy Team | Published: 2023-05-02 Summary: Learn how to measure the success of your shoppable videos. Track sales, ROI, and engagement to boost conversions and optimize your video strategy. Key Takeaways Focus on sales, not just views: Likes and views look good, but conversion rate, average order value, and actual revenue tell you if your shoppable videos are truly driving growth. Track the full funnel: Measure engagement rate, click-through rate, conversion rate, and ROI together to see where customers drop off and where your videos are actually making money. Understand ROI clearly: ROI shows whether your video campaign made more money than it cost. Compare revenue from each video to production and promotion costs to decide what to scale. Use analytics tools to guide decisions: Set up proper tracking in your analytics platform so you can compare videos, identify top performers, and adjust your strategy based on real data. Optimize specific metrics with small tweaks: Better thumbnails, captions, platform-specific formats, and longer on-screen CTAs can improve clicks, dwell time, and ultimately sales. It's true that so many e-commerce video marketers are limited by what they can "measure." Although views, likes, and shares are important metrics to consider for social video content, sales truly matter in the long term. With the rise of shoppable videos , marketers can now track viewership and how viewers interact with their product within the video—whether they click through to purchase or watch it passively. But first, let's define what return on investment means. This article owns the measurement intent: instrumentation, controlled comparisons, conversion, and ROI. For the platform and publishing workflow, see Tolstoy’s shoppable video solution . Return on Investment (ROI) Return on investment is a way to measure how well an investment (or portfolio of investments) has done financially. It is calculated by dividing the gain or loss from an investment (or portfolio of investments) by the amount that was invested at the start. The result is usually given as a percentage, and people often use it to compare investments and decide how to invest in the future. The better investment is thought to be, the higher the return on investment. » Need help? See how to make your shoppable videos stand out How to Measure Sales and ROI Engagement rate: Track the total number of views and average engagement time for each shoppable video. This will help you understand if customers are finding your videos helpful or if they’re watching them all the way through. Click-through rate: Monitor the number of clicks per video, which measures how often customers are clicking to purchase items after viewing the video. Conversion rate : Figure out how many people bought something after watching a shoppable video, probably the most important metric to track for shoppable video performance. Average order value: Calculate the average amount of money spent per transaction. Return on investment (ROI): Analyze the performance of each campaign and compare it to the campaign's total cost to determine if you’re getting a positive return on your investment. » Learn more: Our best examples for short shoppable video ads Use the Right Tools Tolstoy: After creating your shoppable videos with Tolstoy , you can make use of our built-in analytics software to see how effective your marketing efforts are. Simply read our guide to tracking Tolstoy analytics . Google Analytics: First, you will need to set up tracking for your shoppable videos in Google Analytics. This includes adding tracking codes and event tags to your video player so that data is collected and stored, measuring all the metrics discussed above. You can also look at how different videos compare against each other and adjust your strategy accordingly. Adobe Analytics: Adobe analytics is a great program for measuring the effectiveness of all your marketing efforts, from basic web statistics to all your digital channels. KISSmetrics: KISSmetrics is an easy-to-use analytics platform that helps you measure the performance of your marketing tactics through various means and metrics, including your sales funnels, and integrates seamlessly with your Shopify store. » Ready to get started? Create your first shoppable video for free Good to Remember High views mean nothing without intent. Always compare video viewers’ conversion rate against site's average to understand the true incremental impact. What Other Metrics Should You Track? CTR (Click-Through Rate) CTR measures how often people click on the CTAs (calls-to-action) on your video, such as clickable buttons. Tracking CTR trends can also help you anticipate how changes in your video content will affect future sales, making it easier to adjust and optimize your strategy as needed. Knowing what your viewers are responding to is key to creating a successful sales campaign, and tracking CTR trends can give you insight into this. Dwell Time and Click-Out Shoppable videos give valuable information about people's actions by tracking how long they look at a certain object or screen. This metric is especially helpful for figuring out how well different products and services grab the attention of customers. For example, if you’re offering different types of videos, you can measure which type has the highest dwell time and click-out rate, giving you insight into your products with the highest conversion potential. Interactions/Engagement Engagement is a metric used to measure how much viewers interact with your video, how many people watched from start to finish, whether they shared or liked the video, and even exactly when people stopped watching. KISSmetrics is a great tool for measuring engagement because it allows you to track the amount of time users spend viewing your videos, as well as how often they click out, how many times they share, and which parts of the video were most popular. This can help you identify any potential problems in how your video was presented or structured, and adjust accordingly for maximum engagement. » See how videos can improve customer experience Video Views Another important metric to consider tracking is video views. This metric can tell you how many people have seen your shoppable videos, regardless of whether they interacted with them. The more people that have seen the video, the better off your ROI is likely to be. Video views give you a good indication of the success of your video content. It's important to note, however, that simply having a high number of views does not guarantee sales due to how different platforms measure video views. For example, YouTube only counts a view when somebody intentionally watches your video for 30 seconds, while Facebook and Instagram count it after just 3 seconds. » Use Shopify for your e-commerce store? Discover how to embed shoppable videos on Shopify Pro Tip: Turn Shoppable Video Metrics Into Revenue Levers If you want real ROI from shoppable video, tie every metric directly to revenue impact. Map metrics to funnel stages: Use analytics to separate discovery videos on PLPs from conversion-focused PDP videos. Track view rate and engagement time for discovery, but prioritize CTR and conversion rate on PDP embeds where buying intent is higher. Segment ROI by placement: Compare revenue per viewer from homepage, PDP, and post-purchase placements. Often PDP videos drive higher CVR, while homepage videos lift AOV by increasing product exploration. Track assisted revenue, not just last click: Measure how often a viewer purchases within 7 days of watching. This captures the influence that standard last-click models miss. Optimize for AOV, not just CVR: Use in-video product bundles or “complete the look” modules. Then monitor AOV from video-driven sessions versus non-video sessions to prove incremental lift. Can You Boost Specific Metrics? If you want to boost a specific metric, such as CTR or dwell time, you can use data analytics and testing to determine the effectiveness of different strategies. Following that, there are many things you can do to boost specific metrics. For example: Interesting thumbnails can grab attention and make people click more. Captions can make people watch for longer if they can't listen. Different video formats for different platforms, such as landscape for YouTube or portrait for Instagram. Keeping your CTAs and/or products on screen for longer can improve dwell time. » Learn more : Our tips for shoppable videos on mobile --- # Video Ads for eCommerce: Pro Tips & How to Succeed URL: https://www.gotolstoy.com/blog/video-ads-for-ecommerce Author: Tolstoy Team | Published: 2023-04-22 Summary: Discover how to use video ads to boost e-commerce success. Learn strategies, platforms, and examples to engage customers and increase sales. Since it began, digital advertising has advanced significantly. On the internet, static images have supplanted billboard catchphrases. Due to the lack of a personalized user experience, such an approach is ineffective today. Fortunately, video ads have revolutionized the world of e-commerce, allowing businesses to engage their audience and showcase their products in a dynamic way. In 2020, 85% of brands will employ video marketing , up from 63% in 2017. Want to learn where and how to use video ads for maximum success? You've come to the right place. Key Takeaways Video ads drive higher sales and trust: Shoppers are more likely to buy when they can see a product in action. Videos help explain features, build confidence, and create an emotional connection that static images can’t. Match the video type to your goal: Use tutorials to teach how a product works, testimonials to build trust, story-based videos to connect emotionally, and shoppable videos to let viewers buy directly while watching. Pick platforms strategically: Short, catchy videos perform best on Facebook, Instagram, and X platform. YouTube works better for longer, in-depth stories. Always optimize for mobile since most viewers watch on their phones. Hook viewers fast: The first few seconds matter most. Start with a bold claim or problem your product solves, keep it under 30 seconds when possible, and cut any filler to hold attention. Track and refine: Use data to measure engagement, conversions, and ROI. Knowing what works helps you improve future campaigns and target audiences more effectively. Choose the Right Type of Video Ads for E-Commerce Choosing the right video is essential. Here are a few different types of videos you may consider. Product Tutorials or How-to Videos Product tutorials or how-to videos are one of the most popular types of videos used in e-commerce marketing. They are designed to showcase a particular product and demonstrate how it works or how to use it. They are best for products that require explanation or have features that are not immediately obvious. The benefits of using product tutorials or how-to videos include increased engagement, better understanding of the product, and improved customer satisfaction. These videos can help reduce the number of support queries by providing customers with a clear understanding of the product and how to use it. One great example of a company using product tutorials or how-to videos is Dyson. Dyson has a range of products that require explanation, and their product tutorials are top-notch. For example, their video on how to clean the Dyson Cyclone V10 Absolute Cordless Vacuum Cleaner demonstrates how easy it is to clean the vacuum while also showcasing the product's key features. In summary, product tutorials or how-to videos are an essential tool in e-commerce marketing. They help customers understand the products they are buying, reduce the number of support queries, and increase customer satisfaction. By showcasing the product's features and explaining how it works, customers can make informed decisions and get the most out of their purchase. Animated Product Videos When showcasing a product's attributes that could be challenging to understand through conventional, two-dimensional commercial photos or movies, product animations might be used. Producing a three-dimensional, frequently realistic, animation of a product to market it is known as product animation. Additionally, by making the product more approachable and realistic, product animations can aid in developing an emotional connection with potential customers. An excellent technique to describe your product's history is through product animations. Make sure the animation runs smoothly and clearly explains the features of the product. Product Reviews and Testimonials Product reviews and testimonials are powerful ways to build trust and credibility with potential customers. They allow previous customers to share their experience with the product or service, which can help persuade new customers to make a purchase. Reviews and testimonials are especially effective in e-commerce because they help to bridge the gap between online shopping and the in-person experience of seeing, touching, and using a product. The benefits of using product reviews and testimonials include increased trust, increased sales, and improved SEO. When customers leave reviews or provide testimonials, they are essentially providing free marketing for your business. They are also helping to build social proof, which can lead to increased trust and credibility. In addition, reviews and testimonials can help improve your website's SEO, which can lead to more traffic and sales. Some examples of e-commerce websites that use product reviews and testimonials effectively include Amazon, Sephora, and TripAdvisor. Amazon allows customers to leave reviews on virtually every product they sell, and they also provide a helpful "most helpful" rating system to highlight the best reviews. Sephora uses reviews and ratings to help customers find the best products for their needs, while TripAdvisor relies heavily on user-generated content (reviews and photos) to help travelers plan their trips. Story-based Videos Story-based videos are powerful tools for e-commerce businesses, as they tell a story that can be used to build an emotional connection with potential customers. These types of videos often feature a protagonist and follow their journey, highlighting how a particular product can help them overcome challenges or achieve their goals. One of the benefits of using story-based videos is that they can create a deeper connection between the viewer and the brand, making it more likely for the viewer to become a customer. These videos are best used for products that have a unique story or that solve a specific problem. A great example of a story-based video is the Dollar Shave Club commercial. The video follows the journey of the company's founder, who explains why he started the company and how it can help men save money on shaving. By using humor and a relatable protagonist, the video effectively communicates the brand's message and builds a connection with potential customers. Expert Interviews A video interview with an expert is essentially the same as one with a regular interviewer. The expert could be a well-known figure in your sector, a successful entrepreneur, or a professor. It builds strong credibility for your company or website. Additionally, your audience gains excellent knowledge and priceless suggestions that they can apply later. Shoppable Videos These promotional movies include clickable interactive hotspots that enable viewers to choose the things they're interested in and buy them without ever leaving the page. A shoppable video allows viewers to click on internal links to learn more about the products and to purchase them. Since videos allow for direct communication with potential customers, e-commerce businesses are using them more and more as a conversion method. This marketing strategy and the use of supporting platforms reduce the number of steps required to make a purchase, potentially improving the consumer experience. Live Videos Live videos allow you to connect with your viewers and build relationships by taking the time to answer their questions directly. It's a great way for people to get an insight into what goes on in the company or product they are interested in, as well as see a more human side of it. It also gives potential customers a chance to ask questions and connect with you, which can make them more likely to purchase. Did You Know? AI-driven tools like product recommendations and interactive promotions powered nearly 20% of global online sales during Holiday 2024 according to the Salesforce report . Key Benefits of Video Ads for E-Commerce Improved Conversion Rates: Video ads have been shown to boost conversion rates significantly. They can help build trust with potential customers and provide a more engaging experience than traditional static ads. Increased Engagement: Video ads are more likely to grab and hold a viewer's attention than static ads. They allow for greater creativity and storytelling, which can help build a connection with your audience. Better Targeting: Video ads can be targeted more precisely than other forms of advertising. You can use data to ensure that your ads are seen by the right people at the right time and in the right context. Stronger Branding: Video ads can help build brand recognition and loyalty. They allow you to showcase your products in a dynamic and memorable way, which can help differentiate your brand from competitors. Overall, video ads are a highly effective way to drive e-commerce success. They offer a range of benefits that can help you engage and convert customers, build your brand, and stay ahead of the competition. Pro Tip: Turn Video Ads into Shoppable Experiences If you’re already running video ads, you’re halfway there, now make them shoppable. Viewers shouldn’t just watch; they should buy directly from your content. Use Tolstoy’s AI Player to publish these ads on your site and tag products in your videos so viewers can tap and shop without leaving the video. Use platform-native formats: Upload short vertical cuts for TikTok and Instagram, and longer, story-based edits for YouTube. Tailor the CTA to each platform. Create a seamless ad journey: Leverage Tolstoy to automatically match on-site videos and messaging to the ad, delivering a personalized continuation of the campaign that boosts engagement and conversions. Optimize with deep analytics: With Tolstoy’s in-site video insights, identify which video assets drive the highest conversions, so you can focus on what truly performs best. Share Video Ads Across Different Platforms One of the keys to a successful video ad campaign is knowing where to share your content. While there are plenty of platforms to choose from, each one has its own unique requirements and limitations. For example, Facebook is an excellent platform for video ads, but they recommend keeping them short and sweet, around 15 seconds or less. Twitter, on the other hand, has a similar preference for shorter videos, but they do allow longer ones if they're engaging enough to hold the viewer's attention. YouTube is another popular platform for video ads, and they offer a wide range of video lengths. Unlike Facebook and Twitter, YouTube is better suited for longer, more in-depth videos that showcase your product or service. Mobile-friendly videos are another essential consideration. Instagram, for instance, is primarily a mobile app, so if you're advertising on this platform, your videos should be mobile-friendly. They should be optimized for smaller screens, use vertical video, and have a clear and concise message. To help illustrate the differences between platforms, let's take a look at some examples: Warby Parker is an eyeglass company that has used video ads successfully on several platforms. On Facebook and Instagram, they used short, punchy videos that showed off their products in an engaging way. On YouTube, they opted for a more in-depth video that explained their process and gave viewers a better sense of what sets their brand apart. Peloton , the fitness equipment company, has used Instagram's mobile-friendly video capabilities to great effect. Their videos are vertical and optimized for mobile screens, making it easy for viewers to watch and engage with their content on the go. Squarespace , the website building platform, has used Twitter's preference for shorter videos to its advantage. Their videos are only a few seconds long but still manage to showcase their products in a visually compelling way. By tailoring your video ads to each platform's unique requirements, you'll increase your chances of reaching and engaging your target audience. Be sure to test your videos on different platforms and analyze your results to see which ones are performing the best. With the right approach, video ads can be a powerful tool for e-commerce success. Tips for Creating Effective Video Ads for E-Commerce Make the first few seconds count to create a great video advertisement. Your video's opening minutes are crucial. You must grab a potential client's attention right away to prevent them from skipping your advertisement or clicking away. Your video ad should begin with a claim that will catch the interest of your target audience. Then emphasize the strengths of your brand. What makes your brand appealing to viewers? In your video commercial, address this query by highlighting the qualities that make your business exceptional at what it does. Even customer endorsements and favorable comments are acceptable. Your video ad will be more powerful if you emphasize your business' advantages more. Keep your commercial from becoming a documentary. Most video advertisements last 30 seconds or less. As you write the narrative for the video, keep this ideal length of time in mind. That said, longer videos can also be successful if you use them to position your business. In either case, it's crucial to cut out unnecessary material and get your point across as quickly as you can to keep people interested. Know What You Want to Achieve Be clear about what you hope to accomplish with the video advertisement. Do you want to increase sales, tell a compelling story, get a lot of organic traffic, get more social shares, go viral, reach a larger audience, or build brand awareness? Your objectives ought to be crystal clear to you. Additionally, most video advertisements last 30 seconds or less. As you write the narrative for the video, keep this ideal length of time in mind. That said, longer videos can also be successful if you use them to position your business. Monitor Your Progress Without the data to support it, success is meaningless. Monitoring your e-commerce and marketing KPIs can reveal a lot about your company's operations and point out potential growth prospects. The benefits of monitoring your progress are that you can provide a stronger pitch to investors; what your data is telling you can be a strong driver for future opportunities; and this action will help you find any problems before they get too complex. Stick to Mobile-Format You can't ignore the impact of mobile – with consumers watching YouTube, accessing streaming services, or scrolling social feeds on their phones, mobile-first video is critical for any modern marketing campaign. And that means editing your videos in mobile-format as well. When creating your video advertisement, keep in mind that it will likely be viewed on a small screen. Try and focus on simple visuals and brief narratives that will be easy to follow and understand. Unleash the Potential of E-Commerce with Video Ads Utilizing social media to promote your brands and companies will help you see a big rise in audience engagement. It will motivate you to make an immediate investment in an integrated video ad campaign. If you take advantage of this chance and carefully research all the potent suggestions and recommended procedures for producing successful social media video advertising, it can lead to big success for you. Get started with video ads! FAQs How do I choose the best video ad format for my e-commerce products? Match the video ad format to your product type and marketing goal for maximum impact. Use short tutorials for complex or instructional products. Try animated videos to explain invisible or technical product features. Showcase story-based or testimonial ads to build emotional connection. A/B test video lengths (6s, 15s, 30s) across social platforms. See breakdowns of ad formats in product videos for e-commerce . What are the best platforms to run e-commerce video ads on? Each platform performs differently depending on your audience behavior and creative style. Run 6–15 second vertical videos on Instagram and TikTok for impulse-driven products. Use longer tutorials or reviews on YouTube for high-consideration purchases. Deploy retargeting ads on Facebook with shoppable overlays. Repurpose high-performing creatives across channels using aspect-ratio editing. Explore practical strategies in maximizing mobile engagement: tips for shoppable videos . How do I measure the success of my video ad campaigns Track conversion and engagement metrics that tie directly to business results. Monitor click-through rate (CTR), video completion rate, and add-to-cart actions. Use platform analytics and Shopify attribution data for clarity. Set UTM parameters to identify top-performing creatives. Adjust audience targeting based on repeat watch and conversion data. For advanced KPI insights, check measuring the effectiveness of shoppable videos . How can I use Tolstoy AI Player to make my video ads interactive and shoppable? Tolstoy’s AI Player transforms static video ads into conversion-ready experiences. Upload your ad creative to the Tolstoy platform and connect your Shopify or native catalog Tag the relevant products in the video to make it shoppable. Deploy as an autoplay widget or carousel on your website or email campaigns. Track clicks, engagement, and purchase paths through Tolstoy analytics. See how brands convert with this format in how shoppable video is shaping the e-commerce storefront . How can Tolstoy AI Studio automate video ad creation for my products? Tolstoy’s AI Studio generates branded ad variations automatically from your product data. Connect your Shopify store to auto-import product listings. Choose from AI templates optimized for different platforms and creative guidelines Generate and export multiple ad creatives for TikTok, YouTube, or Meta. Use deep analytics and video analysis to refine campaigns over time. See related automation examples in AI video tools transforming SMB marketing . --- # Product Demo Videos: How to Make One That Sells (2026) URL: https://www.gotolstoy.com/blog/how-to-make-a-product-demo-video-that-sells Author: Tolstoy Team | Published: 2023-04-21 Summary: How to make a product demo video that sells: script, production steps, and real product demonstration video examples that turn viewers into paying buyers. From producing videos to distributing, promoting, and selling them, the rise of video isn’t slowing down. Today, brands and businesses are leveraging videos to promote their products and services. After all, it’s an effective way to showcase the features of your product, highlight the benefits, and show potential customers how it works. Of course, by creating a well-crafted product demo, you can also make your product stand out in the competitive market and increase your sales . Although creating engaging product demo videos that sell can be intimidating, it doesn’t have to be. In this blog post, we’ll look at the different types of product demo videos and the steps you need to take to make a product demo video that sells. » Looking for extra inspiration? Check out these 5 product explainer videos Understand the Different Types of Product Demos Product demos are one of the most powerful tools for demonstrating the value of a product and convincing potential customers to buy it. But to make a successful demo video, you need to understand the different types of demos available. Here are 3 that are most commonly used: 1. A Narrated Product Demo This type of video usually has a combination of visuals and audio that helps viewers gain a better understanding of the product. For example, it may include audio narration or commentary that explains what is happening on the screen. This also allows the presenter to add a personal touch and describe the features or advantages of the product in more detail. 2. Screen Capture Product Demos Screen capture demos are videos that show users how to use a product or service by recording the computer screen. This type of video is great for software products, websites, or apps, as it walks viewers through each step of the use. 3. Live-Action Product Demos These are videos that feature real people using the product in real-time. These videos provide a great way to show potential customers how the product looks, feels, and works in the real world. You can also use live-action product demos to tell fun and memorable stories about your product, which can make it more engaging for viewers. Learn to Describe Your Products the Right Way When creating a product demo video, it’s important to make sure you are describing your product accurately and effectively. The structure of the demo video should include the following: A description of the product —Describe what your product is, what features it has, and how it can benefit the customer. A demonstration of how it works —Show your viewers exactly how the product functions and explain all the features in detail. Examples of potential problems it can solve —Give viewers real-world examples of which potential problems it can solve. This can help them see the practical uses of the product. An encouraging CTA —Be sure to end with a call-to-action to further encourage viewers to take action. By following these steps and crafting an effective product demo video, you can boost your sales and increase your reach. » See how to advertise your products via shoppable videos Identify Your Target Audience Before creating your product demo video, it’s important to identify your target audience. This is the group of people who are most likely to be interested in what you have to offer. Knowing your target audience will help guide the direction of your product demo video and help you create content that resonates with them. When identifying your target audience, consider their age, gender, interests, and preferences. For example: If you’re targeting young people, you may want to focus on more modern visuals, references to popular culture, and fast-paced videos. One way to do that to by including references to an iconic TV show like Friends or Game of Thrones in your video. This could help you stand out from the competition and make a connection with your viewers. On the other hand, if you’re targeting older generations, you may want to focus on more traditional visuals or sounds and a slower pace. You should also think about whether the people you want to reach prefer PCs or mobile devices . This could affect the formatting of your video. Boost Your Sales By Following Our Tips With the right product demo video, you can increase engagement, attract new customers, stand out from the competition, and reach your desired goals. Essentially, you’re providing potential customers with an immersive experience that allows them to better understand your product. With these tips in mind, and with some additional help from Tolstoy, you’ll be well on your way to creating a successful product demo video that sells. --- # Top 4 Video Marketing Tips for Small Business URL: https://www.gotolstoy.com/blog/top-video-marketing-tips-to-promote-your-small-business-online Author: Tolstoy Team | Published: 2023-04-21 Summary: Discover the top 4 video marketing tips to promote your small business online. Engage your audience, boost visibility, and grow your brand with video. As a small business owner, you may face many challenges when it comes to reaching a wider audience and driving conversions . One effective way to do this is through video marketing, which has become increasingly popular recently. It can help you build a connection with your customers and improve your online presence. Still, many don't know where to start. Today, we will cover the top 4 video marketing tips to help you promote your small business online. » Educate yourself on the best interactive marketing strategies in 2023 1. Know Who Your Customers Are Understanding who your customers are is essential to successful video marketing. Knowing your target audience can help you choose the best places to advertise your business and create content that speaks directly to them. It's important to consider things like age, gender, location, occupation, hobbies, and interests. For example, if you're targeting young entrepreneurs or freelancers, LinkedIn would be an ideal platform to promote your videos, as it's used primarily by those in the business world. However, if you're targeting a younger demographic, Instagram would be a better choice, since it's more popular among millennials and Gen Z. » Prefer a more traditional medium? Learn how to create interactive email campaigns 2. Choose the Right Type of Video Knowing your audience also helps you choose the right type of video for them. Here are 5 of the most popular video types that can be used to effectively promote your small business online: Product Demo Alternative titles in different styles and tonesGeneric styleInformal toneGenerate Product demos provide viewers with an interactive experience by showing them how your product or service works. They allow potential customers to see the features and benefits of your product or service, making it easier for them to know whether it's what they need or not. Testimonials Alternative titles in different styles and tonesGeneric styleInformal toneGenerateTestimonials are a great way to build brand trust. When you show customers what others have to say about your business , it makes it easier for potential customers to make that initial decision based on somebody else's experience. Just make sure those testimonials are easy to find on your website . Founder's Story Alternative titles in different styles and tonesGeneric styleInformal toneGenerateCompany stories help viewers get to know you and your business or brand on a deeper level. Showing viewers how your business came to be can help you create a connection with your audience and share your vision, which they would support too. Plus, if you do it well, a good founder's story can definitely help you stand out. Informational/Tutorials Alternative titles in different styles and tonesGeneric styleInformal toneGenerateInformational or tutorial videos are a great way to educate viewers on topics related to your business. This type of video allows you to showcase your expertise in the industry, which again builds trust—but in a more objective rather than emotional manner. Behind-the-Scene Alternative titles in different styles and tonesGeneric styleInformal toneGenerateBehind-the-Scene videos are great for connecting with viewers, showing them what it's like to work at your business, and giving them an inside look at how things operate. 3. Partner With Influencers When promoting your small business online, one of the most effective ways to reach a wider audience is to partner up with influencers. Influencers are typically people with a large online following who are seen as experts or enthusiasts in their field. Some of the main benefits are: Increased brand visibility—Influencers have a large audience that can help spread the word about your business and potentially lead to more sales. Established credibility—By associating with influencers, your business will appear more credible and reliable in the eyes of potential customers. Get authentic endorsements—Influencers can provide genuine and honest opinions of your products or services, which can be more powerful than traditional advertising. When it comes to selecting an influencer for your campaign, you'll want to keep in mind a few key factors: Consider the influencer's niche and make sure it aligns with your business. Check whether they have high engagement with their audience so that your message will reach the right people. Make sure you can afford the influencer. With these in mind, you should be able to find the right influencer for your video marketing campaign. 4. Invest in Quality It is essential for brands to create professional-looking videos in order to show customers that they are serious and trustworthy. Quality videos will also help to drive engagement with your content and make it more likely to be shared by viewers. When creating a video, make sure you have the right equipment and tools to ensure the best results. Use good lighting and avoid shaky camera work to keep viewers engaged. If needed, you can also invest in professional editing services to help polish the video and make sure it looks its best. Small businesses still have something to prove, and they can show how professional they are by taking the time to make good videos. » Learn more about the interactive marketing tools you need for boosting customer engagement Why Should Small Businesses Use Video Marketing? Video marketing is one of the most powerful tools a small business can use to reach its target customers and promote its brand. It has been shown that video content is easier to remember than text-based content. This means that businesses can leave a lasting impression on viewers by using video. Plus, videos are more likely to be shared, which raises the brand's visibility and awareness. Videos can also be used to educate customers about a product or service and to demonstrate the value of a product or service in a visual way that resonates with viewers. All in all, by creating engaging videos, businesses can connect with customers and encourage them to take action. --- # Top 5 Clever Product Explainer Video Examples URL: https://www.gotolstoy.com/blog/clever-product-explainer-video-examples-to-draw-inspiration-from Author: Tolstoy Team | Published: 2023-04-10 Summary: Get inspired by 5 creative product explainer videos that simplify storytelling, boost engagement, and drive more sales. Product explainer videos , what are they? These clever videos are an effective way to quickly and clearly communicate the benefits of a product or service to customers. They are designed to grab attention, create interest, and motivate viewers to take action. Product explainer videos can be used in various stages of the marketing funnel—from generating leads at the top of the funnel (TOFU) to converting prospects into customers near the bottom (BOFU). These videos make it easier for marketers to reach their target audience, build trust with potential customers, and increase conversions. Key Takeaways Start with a clear problem : Strong explainer videos open with a relatable issue so viewers instantly understand why the product matters. Highlight benefits simply : The best examples keep visuals clean and focus on what the product actually helps the customer do. Show the product in action : Demonstrations or quick real life examples make the value obvious and build confidence in what you are selling. Use a tone that fits your audience : Humor, animation, or simplicity can all work as long as the style matches what your shoppers respond to. End with a direct next step : A clear call to action helps turn viewer interest into clicks and purchases. Structure of Product Explainer Videos Product explainer videos typically have 4 main parts: Introduction of the problem that the audience might have The introduction part sets the tone for the video, presenting a relatable context in which the audience might need the product or service. Explanation of the product’s key features and benefits related to the problem The explanation part helps explain why customers should buy the product, focusing on its features and benefits. Examples of how the product works Examples help demonstrate how the product can be used in real-life scenarios. A call-to-action Finally, the call-to-action encourages viewers to take action, such as buying or signing up for a service. With all that in mind, let’s look at 5 clever product explainer videos that you can use as inspiration in 2023. » Learn more about how interactive video marketing can improve customer experience 1. Spotify Spotify is a music streaming service that has become increasingly popular over the years. 11 years ago, Spotify introduced the app with this creative ad video for the brand, gaining millions of views and subscriptions. Its product explainer video focuses on how easy it is to use the platform, with an upbeat tone that perfectly captures its target audience. The one thing we love about it is how it uses simple visuals to explain the concept of the product without the need for voiceover. The creativity and simplicity of the music, brand colors, and concept made it more engaging and appealing. 2. Ahrefs An indicator of a good explainer video is when it sticks to the point, and that’s exactly what Ahrefs did. This SEO tool has one of the best explainer videos out there. This is simply due to the fact that the video explains its features in a straightforward manner. It does an excellent job of highlighting how the tool works and why people should be using it. In this video in particular, Ahrefs played with engaging animation following a friendly voice that clarifies the "problem," or the "pain points," of their audience. It's simple but creative—but it's also detailed and perhaps a bit "longer," showing their target audience exactly what Ahrefs can do for them. 3. Dollar Shave Club Razor brand advertisements can be successful by using humor to draw in their young-adult male target audience. That's how Dollar Shave Club did it. Its explainer video uses comedy to capture the viewers’ attention, while quickly and effectively showing the product's features and benefits. The video cleverly uses metaphors such as “A dollar a month to shave time and shave money” to explain why Dollar Shave Club is a better choice than other competitors. If you ask us, never shy away from getting creative when it comes to showcasing your product or service—you have to stand out, and this Dollar Shave Club video definitely succeeds in that. Did You Know? More than half of consumers want to use virtual assistants while they shop, according to IBM’s 2024 data , making AI-guided explainers more valuable than ever. 4. ZAILA A great example of a product explainer video is the one available on ZAILA's website. This video clearly and effectively explains how to use the product, shows the proper quantities, and showcases the benefits it can provide for your skin. The demonstrator also uses the product on herself, which shows viewers the results of using this particular skincare brand. By doing this in their explainer video, they manage to show potential customers why and how their skincare products can help them, while also building trust and creating a strong sense of community. 5. Buoy Buoy is a brand that sells electrolytes to maintain electrolyte balance in the body. Similar to that of ZAILA, their product explainer video also clearly shows how to use the product and how much of it you should use. It also briefly lists the benefits that come with it. Of course, there may be differences based on their respective industries, but the purpose of the video is the same—to provide viewers with an easy-to-understand explanation of their product. The best part about this explainer video is probably its approach, featuring a very creative backdrop and moving illustrations that help deliver the key message of their product. This video is an example of how you can make a great explainer video without having to spend too much money on production and animation. Pro Tip: Turn Explainer Videos Into High-Intent Shopping Moments With Tolstoy If you’re pulling inspiration from these classic explainer videos, here’s how to remix the format into something that actually converts on your PDPs and PLPs. Open With a Real Shopper Problem: Use Tolstoy’s AI Studio to auto-generate a 3–5 second hook tied to your product’s top objection (shipping time, sizing clarity, how-it-works). It beats generic “meet our product” intros every time. Add Layered, Shoppable Context: Drop shoppable tags at every “aha” moment. For a skincare demo like ZAILA’s, add tags for ingredients, shade match, or bundle options right when they’re shown. Replace Static CTAs With Intent-Based Ones: End with personalized recommendations such as “Show me my routine,” “Find my flavor,” or “Compare plans,” instead of a generic CTA button. Why Are Product Explainer Videos Useful? Through visuals and audio, explainer videos effectively demonstrate the features of a product or service in an engaging and easily digestible way. This is also useful for growing businesses that may not have the budget for costly marketing campaigns. Moreover, by creating a compelling explainer video, you can quickly and effectively establish your company as a legitimate source of information, providing customers with the assurance that your product or service is worth investing in. All in all, explainer videos are an incredibly effective way to get your message across and build trust between your business and its potential customers. » Want to stand out from the crowd? Use interactive videos for your brand --- # 5 Best Short Shoppable Video Examples You Should Try URL: https://www.gotolstoy.com/blog/best-short-shoppable-video-examples Author: Tolstoy Team | Published: 2023-03-15 Summary: See 5 best short shoppable video examples that inspire. Learn how to create engaging, high-converting product ads for your brand. The age of the short video is here, and it's time to get on board. It's no doubt that videos are dominating the advertising landscape—but with shorter shoppable videos , you can get your message across in a fraction of the time. The key is to create an informative and entertaining video that won't take too long for potential customers to watch. Plus, younger generations prefer watching condensed videos—hello, TikTok, Reels, and YouTube Shorts. With that in mind, let's take a look at five of the best short shoppable video examples that are sure to help you advertise your products like a pro . Key Takeaways Short videos work : Quick, visually clear clips help shoppers understand your product fast, which is ideal for TikTok, Reels, and Shorts audiences. Show the product in real use : Examples highlight colors, textures, and real-world scenarios so shoppers can picture the item in their own lives. Leverage customer reviews : Featuring real customers builds trust and gives buyers proof that the product performs as promised. Add simple interactivity : Clickable tags or product info options keep viewers engaged and let them explore details without leaving the video. Focus on clarity over length : Keep videos short, high-quality, and end with a clear next step so viewers know exactly how to buy. 1. Missoni & Adidas As one of the world's most recognizable fashion brands, Adidas knows how to make an impact with their videos. One of our favorite videos is the collaboration between Missoni and Adidas. This shoppable video example is less than a minute long, but it still packs a powerful punch. It advertises their new collection by focusing on the products and their aesthetics. The video also highlights colors, patterns, and fun, active ways to use the product, helping potential customers better visualize what they're buying. 2. FluffCo Using customer reviews for product ads is a great way to engage with customers, but it has many other benefits too. For example, take a look at this advertising video from FluffCo. It can help create an authentic sense of trust, provide credibility through the use of actual customer experiences, and drive conversions. » Learn more about how shoppable videos are shaping e-commerce 3. Gogglesoc What we really liked about Gogglesoc is how engaging and interactive their video is. A new level of interactivity was added by bringing in customer reviews and the option to click on the + icon for more. This way, customers can get a better idea of the product. In our opinion, it is a great way to combine aesthetic visuals with informative shoppable content. Did You Know? AI-influenced shopping drove $229B in global online sales during Holiday 2024, fueled by a 42% surge in chatbot usage according to the Salesforce report . 4. ZAILA For skincare brands, it's essential to showcase their products in an engaging way. ZAILA does this perfectly with the use of their beauty ambassadress in their short shoppable video. She displays how their product is used and how it looks on the skin after application. If a brand is true to their "real results," then those results should be reflected in the way they market their products. This is especially true if the aim is to build trust, and this video is one great way to do it. 5. Anyday Anyday made a good impression with this short video that shows the features of their product and what it can do for customers. Additionally, they also provide a quick customer service demo that allows potential customers to get the help they need without having to leave the video. Moreover, the video is made interactive to ensure customers can get all the information about the products before making a decision. It's a great way to create an engaging and shoppable video that customers can easily connect with. How to Advertise Like a Pro Now that you’ve got a glimpse at what these pro-level shoppable videos look like, it's time to create one of your own using these 4 suggestions: Focus on Quality : Make sure your video looks great and is high-quality. High-quality videos will help you make a better impression. Get Creative: Your video should be creative and stand out from the rest . Get creative and fancy! Keep It Short: Shorter videos are a trend now, so you want to be sure to keep them as short and sweet as possible. Include a Call to Action: Don't forget to include a call-to-action at the end of the video. Drop a link to your website or the product page. One key point to remember is that shoppable videos should be engaging, informative, and easy to understand. When creating your shoppable video, make sure to focus on the benefits of your product and the customer experience. » Prefer advertising on Instagram? Check out the best 5 examples of Instagram shoppable videos Pro Tip: Turn Those “Best Examples” Into Conversion-Ready Short Videos of Your Own Here’s how to turn inspiration into actual revenue using Tolstoy’s AI Studio and AI Player. Lead With One Micro-Moment: Instead of cramming everything in, pick a single “aha” moment your shopper needs on a PLP or PDP. Use Tolstoy’s AI Studio to auto-generate a 6–12 second shoppable clip focused on that one interaction (fit, texture, before/after, unboxing). Leverage Shoppable Videos: Create tappable tags like Adidas and Gogglesoc do. Drop tags near motion or hero product moments, not random corners. Your viewer should “discover” the tag without thinking. Drop Social Review Energy Into PDPs: Pull a real customer line (like FluffCo’s vibe) and overlay it as an on-video “why it’s loved” callout. Instant trust builder. End With a Smart CTA: Instead of “Shop Now,” generate personalized CTAs tied to browsing intent such as “See your size,” “Compare scents,” or “Show me similar fits.” Final Thoughts Short shoppable videos are a great way to advertise your products in an entertaining and informative way. By taking a look at some of the best short shoppable video examples and following the listed tips, you can learn how to create an engaging and interactive video of your own. Remember, making the right choice when creating shoppable videos is essential for drawing in customers and keeping them engaged. If you do it right, you’ll have a powerful video that can convert viewers into paying customers. » Ready to start? Use Tolstoy to make your own short shoppable video --- # Branching Video: Create an Interactive Video in 4 Steps URL: https://www.gotolstoy.com/blog/interactive-video-branching Author: Tolstoy Team | Published: 2023-03-15 Summary: What branching video is and how to create an interactive branching video in 4 easy steps to personalize customer journeys and boost your conversions. Branching videos are a type of interactive video that allows business owners to create personalized, interactive videos geared toward their customer's specific queries and needs. Basically, interactive branching videos allow visitors to personalize their journey on a website. » Learn how to easily make an interactive video for your store Key Takeaways Personalized shopping made easy: Branching videos let customers choose their own path, creating a more personalized experience that answers their specific questions and needs. Plan before you film: A clear script is crucial since each viewer choice leads to a different video path. Plan every scenario so the flow feels natural and helpful. Guide viewers with smart interactions: Add simple questions and clickable options that move customers toward the right product or solution without extra friction. Embed directly on your site: Once your interactive video is ready, you can easily add it as a pop-up widget or embedded video to guide visitors while they shop. Boost engagement and conversions: Interactive videos help you connect with shoppers in real time, keeping them engaged longer and increasing the chances they’ll make a purchase. Create an Interactive Branching Video in 4 Easy Steps 1. Prepare Your Script Having a premade script is essential as it helps you navigate the process of creating an interactive branching video. Each interaction follows a different journey, thus, it needs to be carefully considered and planned. 2. Record Videos and/or Segmentations Follow the script and record videos that will guide your customers to their destinations. Ask relevant questions that correspond to the response choices you plan on adding with Tolstoy's interactive video builder. 3. Customize Your Branching Video Use the Tolstoy video builder to add text, questions, as well as response options, and where the options will redirect the customer. Once all your 'branches' are complete, you can download your video, share it, or publish it on your website. 4. Add the Interactive Video to Your Website Add your completed branching video to your website via the ‘Launch to Site’ button, where you can select to add it as a widget or embed it by pasting the link into the appropriate place on your website. Connecting with your online customers on a personal level is essential to gain leads, convert them into paying customers, and engage them properly . And, the most effective way to do so is with branching videos. How Can I Create a Branching Video Workflow in Tolstoy? You can easily create a branched widget to guide users through personalized video experiences. Follow these steps: Create your widget: Go to Onsite then Create Tolstoy, select Create from scratch and choose Widget → Branching Decide where your widget appears: Pick where you want it to display on your website. Add your video content: Upload or record a new video, or import one from your files, TikTok, or Instagram. Add questions and response options: Under the Question section, type your question (optional). Add Custom buttons for user choices. Each choice can trigger a different action (e.g., video response, audio response, text input, calendar booking, promo code, etc.). Add more parts to create branching: Click Add new part for each additional video or step in the flow. Continue building your branching structure by adding videos, questions, and choices. Link the parts together: Set up branching by assigning where each user choice should lead. Customize your widget: In the Design tab , you can adjust the shape, size, position, theme color, border, and animations. You can also add captions, notification badges, or chat bubbles to attract attention. How to Leverage AI Studio to Create a Branching Video You can use AI Studio to easily generate videos that become part of your branching Tolstoy experience. Whether you want to create engaging Avatar videos with voiceovers or dynamic product videos , AI Studio helps you bring your vision to life in just a few steps. Go to AI Studio: From your dashboard, open AI Studio and click New Chat . Choose how to create your content Option 1: Write a prompt : Describe what you want to create (e.g., “Create an avatar video introducing our new skincare line”). Option 2: Use an inspiration template : Pick from pre-built templates tailored to your industry (e.g., fashion, beauty, tech) and content type (e.g., homepage video, ad, product feature). Add your assets: Upload or select existing visuals, product images, or catalog items. You can also choose an AI-generated persona to appear in your video. Select an AI model: Choose from models specialized for Image Generation , Try-On , or Image to Video , depending on your goal. Generate your video: Click Send to create your video instantly. Once it’s ready, download it or add it directly to your Tolstoy Library . Build your branching experience: Back in your Tolstoy editor, use your AI-generated videos as parts of a branching widget . Add questions and custom buttons to guide users through personalized video paths. Pro Tip: Build an Interactive Branching Video That Sells Want your visitors to choose their own shopping adventure? Branching videos let you guide shoppers through personalized paths, like a quiz, but visual and dynamic. Start with intent-based branches: Map choices around customer intent (e.g., “Gift for me” vs. “Gift for someone else”). This keeps every click relevant and fast-tracks viewers to the right products. Embed micro-conversions: Add CTA buttons like “See my picks” or “Shop this look” at the end of each branch to capture purchase-ready shoppers. Use AI Sales Agent insights: Pull your site’s behavioral data into Tolstoy to predict which branch structure converts best based on previous engagement. Keep it short and segmented: Limit each clip to 10–15 seconds; shorter paths mean higher completion and conversion rates. Conclusion Branching videos transform the online shopping experience by offering customers a personalized and engaging journey tailored to their unique needs. With clear planning, thoughtful scripting, and smart interactive design, businesses can guide visitors seamlessly toward the right products or solutions, boosting engagement and conversions. By embedding these interactive experiences directly on your website, you create a dynamic, customer-driven path that not only simplifies decision-making but also builds stronger connections with your audience. Start small, keep it concise, and let your customers choose their own shopping adventure. » Simplify the process of making interactive videos, try Tolstoy for free! FAQs How can I plan an effective branching video script that feels natural to viewers? Start by mapping customer intent paths and writing short, conversational segments that guide each journey. Identify your top 3–5 customer intents (e.g., product fit, pricing, use case). Write one core script with branching questions that resolve each intent. Keep branches short, under 90 seconds per path, to maintain focus. Use conditional logic (“If yes → path A”) when planning flow in your storyboard. See examples of high-performing structures in how to make an interactive video for your online store . What are the best use cases for interactive branching videos in e-commerce? Branching videos work best when guiding customers through decisions or showcasing personalized recommendations. Use them for personalized product matching or guided product discovery. Create onboarding or explainer flows tailored by customer type. Replace static FAQs with dynamic video support experiences. Share your brand story to spark emotional connection and trust. Explore customer examples in ways interactive videos can increase sales How can I ensure branching videos increase engagement instead of overwhelming users? Simplify each step and give clear visual cues so users feel guided, not lost. Limit choices to two or three per screen. Use progress bars or “restart” buttons for control. Preview each choice outcome with thumbnails or tooltips. Track drop-off points in analytics to refine over time. See optimization tips in how interactive video marketing enhances customer engagement How do I embed a branching video on my Shopify or WordPress site without slowing performance? Tolstoy’s embed system loads asynchronously, ensuring interactive experiences don’t affect site speed. Click “Publish” in your Tolstoy dashboard. Choose either a widget pop-up or an embed option. Paste the publish ID in the Shopify block or the auto-generated code into your desired HTML block. Test responsiveness on desktop and mobile before publishing. Learn how seamless embedding works in 3 ways to embed shoppable videos on Shopify . --- # Mobile Shoppable Videos: 5 Tips to Boost Engagement URL: https://www.gotolstoy.com/blog/maximizing-mobile-engagement-tips-for-shoppable-videos Author: Tolstoy Team | Published: 2023-03-15 Summary: Boost mobile engagement with shoppable videos. Learn 5 proven tips to create short, engaging, and high-converting videos that drive sales on any platform. Mobile consumption is on the rise, with more people accessing the internet through their phones than ever before. This has created a huge opportunity for businesses to reach new customers and build better relationships with existing ones. Marketers have responded by creating shoppable videos that allow customers to purchase products directly from their phones without visiting an online store. By leveraging interactive video content , e-commerce brands can create a more engaging customer experience . But how do you that exactly? short answer, make your videos shoppable! Here are 5 tips on how e-commerce brands can make shoppable videos to maximize their mobile engagement. 1. Include Subtitles Most people watch videos on their phones with no sound, and some apps even play videos without sound turned on. It is a good idea to add subtitles to your video so people can understand it even if they don't hear it. It's imperative to make sure these subtitles are accurate and easy to read as research shows that customers understand videos with subtitles better and, thus, prefer them. With that, adding subtitles can not only improve your video but also increase the number of views you get on a mobile device. 2. Keep It Short and Sweet People tend to consume content quickly and move onto the next thing in a matter of seconds, choosing to watch video content for a minute or two at most. Therefore, it is crucial to make sure that your video does not drag on too long as it can easily lose someone's interest. Different social media platforms have different optimal lengths for videos. For example, each platform recommends the following lengths of video content: TikTok : 10-15 seconds Pinterest : 15-30 seconds Twitter : 20-45 seconds YouTube : 5-15 minutes Facebook : 30-90 seconds Instagram : 30-45 seconds LinkedIn : 30 seconds to 5 minutes When creating shoppable videos, marketers should keep the content concise and focus on highlighting the key features of the product they want customers to purchase. This helps ensure that viewers don’t get bored with the content before they are able to see what you have to offer them. » See our top short shoppable videos from Instagram for more info 3. Don't Forget the Aspect Ratio When making videos for mobile, it is important to think about the size of the video. Most people watch videos on their phones and not on a big computer screen. So make sure to use formats like portrait (vertical) rather than landscape (horizontal)—hence, the mobile format. This way, your video will be much more digestible. Essentially, if you go to TikTok and Instagram, every video is already in mobile-format—even in Youtube Shorts. That is why it is important to make sure that your video fits the correct size and aspect ratio of the platform you choose, as it will improve engagement with your target audience as well as video quality and playback. 4. Focus on One Thing It's important to focus on one product or service at a time when creating shoppable videos . It's not only about keeping your video concise, but also about making sure that customers are paying attention and staying engaged with the content you’ve created. Essentially, this means that marketers should be clear and concise with what they want their customers to know about their products or services. Concentrating on shorter videos with a single message or product instead of one video showcasing all your products can keep customers interested in the content you’re providing. Furthermore, visuals such as images, gifs and even emojis can be used to effectively highlight the key features of a product to engage viewers more successfully. » Discover the best ways to use user-generated content for your store 5. Make a Good First Impression You only have a matter of seconds in order to capture the attention of your viewers. To make a good first impression, marketers should focus on creating videos that are visually engaging with compelling stories. Research shows it only takes 3-5 seconds to pique someone's interest, the length of the average attention span in today's world. If you fail to capture the audience in that time, you've lost your chance to convert a potential customer. So making your first impression lasts matters. For instance, you can use eye-catching visuals like special effects and animations or even lifestyle shots to help tell your story. Additionally, you should consider using voiceover or catchy/trending music in your videos to create some initial intrigue. Furthermore, interactive elements such as polls and quizzes can be used to grab the viewer’s attention. Final Thoughts Creating shoppable videos is an effective way to engage with customers and drive more sales for e-commerce brands. By following these five tips, you can create impactful mobile engagements for your e-commerce business to help you build relationships with your customers. So, if you’re looking to maximize engagement with your mobile content and make it easier for customers to shop from their phones, then creating shoppable videos should definitely be something you consider! Good luck! » Create your perfect shoppable video with Tolstoy --- # 3 Ways to Boost Customer Experience with Shoppable Videos URL: https://www.gotolstoy.com/blog/tips-for-using-videos-to-create-better-shoppable-customer-experiences Author: Tolstoy Team | Published: 2023-03-15 Summary: Learn how to increase customer engagement and sales with videos. Discover 3 expert tips for creating seamless, interactive, and shoppable online experiences. This likely isn’t a surprise to anyone, but online shopping is quite popular today. Consumers are flocking to the digital world for convenience, and it’s up to businesses like yours to make sure they have a positive experience. The challenge today is—how do you do that? Using videos is an excellent way to add value and create a better shoppable customer experience . They are engaging and interactive, and they help people feel more connected with your brand. But, it’s important for you to know how to use videos the right way. Additionally, when it comes to online shopping, customers want convenience and immediacy. They want to buy what they need quickly and easily, without any hassle. So what can you do to make sure your customers have a great shoppable experience using videos? Here are 3 tips that we think can help. » Do you have an online store? Read about other interactive marketing tools that can help you 1. Choose the Right Type of Video The type of video you should use depends on the product or service you’re selling. For example, if we're talking about an interactive product that needs to be used in a certain way, then an instructional video might be the best choice. On the other hand, if you’re selling a luxury item like jewelry, a lifestyle video showcasing the product could be more appropriate. Moreover, there are different types of videos that your potential customers would like to see, such as: Product demo videos to describe the products better Founders' stories to introduce the brand Shoppable videos on-site and on social media to make shopping more convenient Review videos showing how the products are used in different contexts Essentially, you should choose videos that are tailored to your products, brand, and customers. You also want them to convey the product’s value and benefits in the most effective way. 2. Pay Attention to the Structure Have a look at the structure of your video. Make sure it’s concise and easy to follow, while still conveying all the necessary information. Also, be sure to include a call-to-action at the end of your videos so customers can easily make a decision after they watch it. For example, you could include a link for them to buy the product, sign up for a service, or just browse your product page. Other things you need to consider when creating a great structure of a shoppable video are: Length Engagement Interactivity Essentially, you want to make sure your videos are well-structured, informative, and engaging. Overall, the structure should be clear and logical. 3. Optimize Your Video If you’re using a shoppable video on social media, like Instagram , for example, make sure it’s optimized for mobile users. If you’re using it on your website, consider adding an in-video purchase option to streamline the process. Moreover, you can also add videos to your email campaigns or create a customized video landing page to help drive more conversions. In short, placement matters when it comes to shoppable videos. So, make sure you’re choosing the right locations for maximum potential, and make sure the video fits the platform. How to Get Started Now that you have an idea of how to use videos to create better shoppable experiences, it’s time to start creating! Remember, the type of video you choose, its structure, and where you place it all matters when it comes to optimizing your shoppable experience. With a bit of planning and strategic thinking, you can create videos that not only engage customers but also drive conversions. Videos can be one of the most powerful ways to create memorable and lasting shoppable experiences for your customers. Use them strategically and you’ll be well on your way to creating more successful marketing campaigns. » Learn more about how shoppable videos affect e-commerce Why Focus on Videos? There you have it. The key is to keep your customers in mind and deliver an experience that’s tailored to their needs. By following these tips, you can create shoppable videos that will help boost your sales and build loyalty with your customers. And if you're not sure where to start, let Tolstoy handle the complicated details for you. Ultimately, creating a positive customer experience will help your business stand out from the competition and keep customers coming back for more. So don’t forget to include these tips and leverage the power of video when creating your next shoppable experience. --- # How to Add Videos to Your Shopify Homepage (Without YouTube) URL: https://www.gotolstoy.com/blog/how-to-add-videos-to-your-shopify-homepage-without-youtube Author: Tolstoy Team | Published: 2023-03-14 Summary: Learn how to add videos to your Shopify homepage without YouTube using simple steps, custom code, and hosting options for better branding. Videos are a real game changer in an online world where 96% of consumers find videos helpful when making purchase decisions online. It's important to grab attention and increase dwell times by embedding videos on your website. YouTube and Vimeo aren't always the best choice for hosting videos because of ads, lack of branding, and lackluster analytics. Below, we'll show you two ways to use Shopify or other hosting platforms to embed videos on your Shopify homepage. For product-detail pages, use Shopify PDP video widgets to make the same video path shoppable closer to purchase. 1. Change Your Shopify Settings and Code Embedding a video on Shopify itself involves using some coding, but we'll show you just what you have to do so you won't be needing any previous technical knowledge. If you're hosting your video somewhere other than Shopify, skip to Step 5. Otherwise, follow these simple steps: Log in to your Shopify admin dashboard. Head to Settings and select the Files tab. If you can't find the Settings option, click on Sales channels and then find the App and sales channel settings option on the popup. Click the Upload files button, select the video to upload, and click Open. You're limited to video files of 1GB and 10 minutes maximum. Now that the video is uploaded, you should copy the video's URL in the box in the URL column on the Files page. Save it somewhere for later. Find your Online Store under Sales Channels and click on Themes. Find the theme you're using. Click on its Actions button and then the Edit code button. Under the Sections dropdown, click Add a new section and name it homepage-video . Once created, a text box with some default code appears. Remove all the code and paste the following in there (remember to replace the https://video.link.goes.here between the quotation marks on the third line with the copied video link you found in Files): {% schema %}{"name": "Homepage Video","class": "index-section index-section--flush","settings": [],"presets": [{"name": "Homepage Videos","category": "Text"}]}{% endschema %}{% stylesheet %}.section-homepage-video{width:100%;}.video-homepage{width: 100%;height: auto;}{% endstylesheet %}{% javascript %}{% endjavascript %} Click Save. Head back to themes (under Online Store under Sales Channels) and click on Customize. Click Add section where you want to add the video, then select Homepage Video from the list (you may need to click on Show more first). Save your changes at the top right. » Breaking into interactive marketing? Check out the best interactive marketing tools 2. Use Alternative Software If you're not up to doing all that yourself, you can always opt to use alternative software. While these plugins make it easier to embed videos, they usually cost money and have their own learning curve. Shogun's page builder has a handy guide for adding videos, and Shop Circle's Video Background plugin is purpose-built for embedding videos. Hosting the videos can take up a lot of bandwidth if your video files are too big for Shopify, you can host them elsewhere. We don't have space to list all the options here, but some good ones for video hosting are Wistia and vooPlayer , both of which have great marketing features beyond hosting itself. The Right Option For You These are just two ways you can still embed videos on Shopify if you're not keen to use YouTube or Vimeo. While the first is a little technical, it's free and foolproof once done, while using alternative software is easier and more feature-rich for those who want deeper insights and better hosting. --- # 5 Tips to Boost Conversions with Shoppable Video Ads URL: https://www.gotolstoy.com/blog/maximizing-conversion-rates-5-best-tips-for-shoppable-video-ads Author: Samantha Becker | Published: 2023-03-14 Summary: Learn 5 proven tips to maximize conversion rates with shoppable video ads. Create engaging, high-quality videos that turn views into sales. Key Takeaways Match the message to your audience : Tailor each video to what your shoppers care about. Speak to their needs and expectations so the content feels relevant and boosts the chance of a click. Make buying effortless : Add clear calls to action and simple visual cues like tags or buttons that guide viewers straight to the product page. The fewer steps, the higher the conversions. Prioritize clean production : Good lighting, clear audio, and crisp visuals make your products look trustworthy. You don’t need fancy gear, but you do need clarity and consistency. Keep videos short : Aim for quick, punchy clips that deliver value fast. Short formats hold attention better and match how shoppers already consume video on social platforms. Start with a clear plan : Define your goals, audience, budget, and channels before creating anything. Track views, clicks, and conversions so you can refine what works through testing. Your conversion rate is a metric that tracks how often website visitors take a desired action, such as making a purchase, signing up for a mailing list, or completing any other goal. It’s important to marketers because it helps them measure the success of their campaigns and understand where improvements can be made. Creating effective shoppable video ads is no easy task. However, with the right knowledge and resources, you can create highly impactful ads that convert well. Shoppable video ads can be a powerful tool for driving conversions, but they must be used correctly in order to have a positive return on investment. Here are some tips for getting the most out of shoppable video ads. » Struggling with Shopify videos? See how to embed shoppable videos on Shopify Good to Remember Shorter videos win, but only if your shoppable tags appear before the viewer starts debating whether to skip. 1. Keep Your Audience in Mind You should always keep your target audience in mind when creating any kind of video to ensure that the content and tone are suitable for the people viewing it. When crafting shoppable videos, also consider the context and common customer needs within that space. Always consider the customer’s journey and what they are looking for in order to ensure the best possible outcome when it comes to conversions. Different target groups have different preferences and expectations, so it is important to tailor the content accordingly. Fashion shoppers might not care too much about how your products are made, whereas health nuts or vegan audiences will absolutely care about the ingredients and manufacture process. 2. Make Your Product Easy to Access Once your shoppable video ad has attracted viewers, you want to make it as easy as possible for them to access the product or service. To do this, it’s important to ensure that there is a clear call-to-action within the video itself that can direct viewers to the website or landing page where they can purchase the product or service. In addition, you should use clear visuals to direct viewers to the location where they can buy the product, such as arrows, tags, or words. Here are a few ways you can start doing this: Include an action button at the end of your ad that directs viewers to the product page Place merchandise prominently within the video in order to draw attention to it Use annotations and tags to mark specific items in the video, linking them directly with their respective purchase pages Consider including interactive elements such as rollover or clickable images or videos that activate a link when interacted with » Not convinced? Discover the ways that interactive videos can increase sales 3. Put Effort Into the Production It goes without saying that you want your shoppable video ads to look professional. Invest time and effort into producing quality videos that feature high-definition images and smooth transitions as this will help attract more viewers and have a greater impact on the audience. Additionally, ensure the audio is clear and of good quality, which can make a huge difference in the overall success of your video ad. You don't need expensive equipment, but remember the important things that determine a video's quality: The camera you're using (any decent smartphone camera can suffice) The formatting (mp4 is the best for this type of video as other formats may reduce the resolution and playability) The lighting (natural light where possible and a three-point light for low-light areas works best) 4. Keep It Short and Sweet Finally, one of the most important things to consider when creating shoppable videos is their length. While some people may be willing to sit through longer videos, most viewers will have a short attention span and won’t watch for more than a minute. Therefore, it’s best to keep your shoppable video ads short. Younger generations often prefer shorter videos, such as those on TikTok and Instagram Reels. This preference can be attributed to the rise of digital media and its impact on how young people consume content. In a world where attention spans are shrinking and people are more likely to scroll through their feeds than sit down to watch a whole movie, short and sweet is the way to go. » See our top short shoppable video examples 5. Have a Plan Like any other marketing strategy, your shoppable video ads should have a plan. Start by setting objectives and goals that are aligned with your overall business objectives. Then, identify the target audience you want to reach and determine your budget. This will help ensure that you create content that is tailored toward achieving those specific goals and reaching the right people. Finally, figure out the best platforms to share your content on and how you plan to measure success. Track performance metrics such as views, clicks, and conversions to understand how effective your campaign is, and adjust accordingly. Run A/B testing to identify the methods that work best for your business. Pro Tip: Turn Shoppable Video Ads Into High-Intent Conversion Machines Here’s a sharper take you can apply today to squeeze more conversions out of every video ad. Lead With Micro-Choice Moments: Drop your first interactive product tag in the opening three seconds. Surfacing the top SKU early cuts bounce and speeds shoppers into PDPs. Use PDP Clips as Ad Fuel: Pull your highest-converting PDP videos from Tolstoy AI Player and syndicate them back into paid ads. These clips already prove themselves on-product, so they typically drive cheaper, warmer traffic. Optimize for the “Tap, Don’t Scroll” Shopper: Most ad views happen mobile-first. Keep your tappable tags high on the frame, and use vertical-safe layouts so product cards never cover the model or demo. Start Creating Videos that Are Guaranteed to Increase Conversions Shoppable videos are a powerful tool for driving sales and conversions. By following these tips and putting in the effort to create high-quality shoppable video ads, you can ensure your campaigns succeed. With the right approach, you can use shoppable videos to reach new customers, increase engagement, and boost sales. » What are you waiting for? Start creating videos with Tolstoy that are guaranteed to increase conversions --- # The Power of Video Sales Prospecting URL: https://www.gotolstoy.com/blog/why-are-videos-effective-for-sales-prospecting Author: Tolstoy Team | Published: 2023-03-13 Summary: Discover why videos are the most effective tool for sales prospecting. Learn how they boost engagement, simplify communication, and drive conversions. Sales prospecting is getting harder with today's consumption culture that prefers short, content-rich media such as videos. Grabbing attention requires more than just some convincing text or pretty images. Between 2000 and 2013, attention spans dropped by 50% to 8 seconds according to a 2015 Microsoft study . What's more, website dwell time dropped by 49 seconds between 2017 and 2019 . The statistics are telling: customers prefer quality over quantity. Let's discuss 3 reasons why video is the best tool to face this challenge. 1. Video Is Versatile One difficulty with content delivery is making it friendly to all types of devices and internet connections out there. Videos can be consumed on any device with an internet connection. They can also be delivered at a lower resolution if needed, giving you an easy way to connect with prospective customers on all kinds of platforms. 2. Video Is Consumable Short, punchy, and information-rich videos are appealing and easy to consume. While text and images are visual and audio stimulates hearing, video engages both visual and audio senses in one compact medium. A video can explain a complicated subject in a few minutes while reading an entire article communicating the same idea will take much longer and bore prospects quicker. » New to video prospecting? Avoid these beginner's video prospecting mistakes 3. Video Is Shareable Videos can be uploaded and shared on many different platforms and through a variety of mediums. They can be emailed, shared on social media, embedded on a website, or transferred over networks. This helps you reach all kinds of different prospects. Since they exist as one file, it's easy to make recommendations and increase brand awareness using videos. Shorter attention spans, multiple communication mediums, and a need for rich content are making videos much more effective for sales prospecting. Don't get left behind— partner with Tolstoy to get started . --- # Shoppable Video Upsell: How to Cross-Sell Effectively URL: https://www.gotolstoy.com/blog/can-you-cross-sell-or-upsell-using-shoppable-videos Author: Tolstoy Team | Published: 2023-03-06 Summary: Learn how to use shoppable videos to boost sales through smart cross-selling and upselling strategies that enhance customer experience and engagement. With the right tactics, your customers' value could go far beyond just checkout. By utilizing cross-selling and upselling practices, you can open yourself up to a world of potential revenue—no limits! But what about cross-selling and upselling in shoppable videos? Can shoppable videos be used to promote additional sales of supplementary items or upgraded versions of existing products? The short answer is yes! » Discover the top ways videos can increase your conversion rates Cross-Selling Using Shoppable Videos Shoppable videos are an effective way of cross-selling as they can show customers related products in an engaging and visually appealing way. By providing helpful information and inspiring customers through video, businesses can create a positive buying experience and encourage sales of additional items. Essentially, a good and effective video for cross-selling can : Showcase the product in detail Provide information about related products/services Explain why these items would be beneficial for customers Inspire customers to buy additional items How to Cross-Sell in Videos Cross-selling videos should be tailored to customers’ interests, so the information provided should be relevant to the product being sold. For example, if you are selling a laptop, your video could include information about other items such as accessories or software packages that would complement it. Another example is a marketing video on cross-selling skincare products under the heading "Best Paired With"—customers are not inclined to buy just one product, but add two or three more to fully experience their skin transformation. » Learn how to make your video content stand out from the competition Upselling Using Shoppable Videos Shoppable videos can be used to upsell to existing customers by persuading them to purchase an upgraded or higher-priced product version. Unlike cross-selling, which focuses on getting customers to buy more products, upselling focuses on getting customers to purchase a better version of what they already want. How to Upsell in Videos Similar to cross-selling videos, the key to successful upselling is to focus on the customer’s needs—show them why they should upgrade their purchase with helpful information and persuasive visuals. Make sure your video showcases the upgraded product version in detail and explains why it is worth upgrading to. You can also use visuals such as an animated comparison between the two versions of the product or a “before” and “after” to help customers understand the differences. Final Thoughts There you have it—essentially, your primary goal for upselling and cross-selling may be to increase sales, but it’s important to consider the customer experience when creating upsell and cross-sell shoppable videos. Nudging customers to buy seemingly random products can leave them annoyed and confused. Carefully consider what makes the most sense to offer your customer and at which point of the buyer’s journey. » Create your shoppable videos with Tolstoy --- # How to Target the Right Demographic with Shoppable Videos URL: https://www.gotolstoy.com/blog/how-to-use-shoppable-videos-to-target-specific-demographics Author: Tolstoy Team | Published: 2023-03-06 Summary: Learn how to use shoppable videos to target specific demographics, personalize content, and boost engagement through data-driven video marketing. Shoppable videos are a great way to target specific demographics because they allow you to customize the experience for each user. Additionally, you can use analytics tools to track how users interact with your video content and identify trends that will help you better understand the needs of your target demographic. 1. Identify Your Target Audience Make sure to research the common trends in behavior and interests ( demographic targeting ) among different demographics to create content that resonates with them. Essentially, shoppable videos should not be used as a one-size-fits-all tool, but rather should be tailored to your target demographic. By researching, personalizing, and utilizing analytics tools, you can create engaging videos that convert and keep customers coming back for more. 2. Focus on the Right Message Make sure the message and visuals in your video content are relevant to the target demographic as this will help make your message more memorable and engaging. 3. Personalize Your Content Personalization is key when it comes to shoppable videos. You want users to feel like they are part of their own unique experience when they watch the video. To do this, you should use personalized graphics and interactive elements like clickable links and call-to-actions. » Read our tips for making your video content stand out 4. Create an Engaging Experience Your content should be as engaging as possible to encourage viewers to take action at the end of the video. This means making sure there is a clear storyline with eye-catching visuals that are easily digestible. Additionally, you should make sure the video is not too long as viewers may lose interest. » Learn how to increase your customer engagement with video content 5. Use Analytics Tools By using analytics tools like Google Analytics or Hotjar, or the built in analytics with Tolstoy , you can track user behavior and measure the effectiveness of your shoppable videos. This will allow you to identify trends and adjust your video strategy accordingly to reach the right target demographic. Final Thoughts By following these tips, you can create compelling, shoppable videos that are tailored to specific demographics and drive conversions for your business. With strategic use of shoppable videos, brands can start building relationships with their customers, an essential part of increasing revenue with brand loyalty. --- # D2C Brand Growth Beyond Social Media Monopolies URL: https://www.gotolstoy.com/blog/d2c-brand-growth Author: Tolstoy Team | Published: 2023-02-20 Summary: Discover how D2C brands can achieve growth beyond social media using independent shoppable video platforms to boost sales and customer loyalty. Key Takeaways Own the customer experience : Shoppable video on your own site lets you control storytelling, checkout, and data without relying on social platform algorithms. Reduce social media dependence : D2C brands can drive sales and engagement directly on their websites instead of being locked into Instagram or TikTok rules. Video shows what photos can’t : Shoppable video helps shoppers understand size, color, and use cases better, which builds confidence and boosts conversions. Data fuels smarter growth : Independent video platforms give clear insights into what customers watch, click, and buy, helping you improve products and personalization. Authenticity beats polish : Simple videos using founders, influencers, or customers often perform better than expensive, highly produced content. By Dov Kaufmann, Co-Founder and CEO of Tolstoy The rising prevalence of video-based ecommerce platforms has equipped retailers with a new tool to enhance their close relationship with consumers, and it’s letting them cut all the middlemen out, for good. This seismic shift towards video has given rise to a new era of independence amongst direct-to-consumer retailers, a cohort that cut its teeth competing against big business in the arena of online shopping. Having to go toe-to-toe against dominant brands in huge markets, D2C brands inherently understand the value of independence and how it relates to their capacity to react with agility and creativity. For the first time these brands are being given the opportunity to really own the customer experience and reduce their dependence on social media giants through shoppable and interactive video which allows them to offer a vastly improved customer experience and build on their social capital. Social Commerce 2.0 The use of social media platforms like Instagram and TikTok to market and sell products and services within the app has had a transformative effect on customer buying habits. Data shows that Gen Z in particular use social media to seek inspiration, research products and connect with their favourite brands. As a one-stop shop, social commerce platforms bring together all elements of online shopping in a single convenient package complete with customer support and easy check out. Shopping has never been so streamlined, and it’s for this reason that the value of social commerce has skyrocketed. By 2026 it’s estimated that the value of this seamless form of shopping will reach $2.9 trillion in the US. Live shopping is another form of video and social commerce that has already gained massive traction in Asia and Latin America. Worth an estimated $600 billion in China alone, the format is being rolled out across rival platforms including Amazon Live, TikTok Shop/Live, Instagram Live and Twitch. For the average social media user who spends 15% of their waking life on social platforms, the melding of entertainment and socialising with online shopping represents convenience, fun and a more authentic brand experience. The emergence of independent shoppable video platforms means that D2C brands that have previously exclusively relied on social media to drive brand awareness, strengthen customer connections, and generate revenue are able to do so outside of social media monopolies by turning their websites into their own self-contained platforms. These retailers are empowered to create their brand narratives, build communities, and access full analytic data without being beholden to unknown algorithms, restrictive guidelines, or sudden loss of access to social media accounts. Leveraging Independent Shoppable Video Platforms to Fast-Track Growth As the internet is a great leveller for D2C brands, the development of integrated shoppable video for ecommerce retailers has given them advantages that have until recently only been accessible to social media heavyweights. Brands are able to leverage in-depth data to hone product offerings, personalise the customer shopping experience and build on community engagement. D2C retailers can also capitalise on their nimbleness to create compelling brand narratives that will add credibility and meaning to their campaigns. As a medium, video is a powerful vehicle for immersive storytelling – more pertinently, video also offers consumers product information that is otherwise unable to be conveyed via text and images alone. From the look of a product to its colour and proportions, shoppable video reveals far richer details than the standard ecommerce format. Retailers are now able to tap into the power of shoppable video to replicate its benefits on their brand’s own page instead of only selling through social media, and they can do it armed with targeted insights gleaned from the platform. Businesses can see how customers react to certain products, what content they engage with the most, which areas or products underperform, which do well and more. These insights are critical to personalising the customer experience and assists with product development and retargeting of customers. For D2C businesses accustomed to overseeing all aspects of the business from production to distribution, independent shoppable video platforms add an extra layer of control. No longer do social media middlemen have exclusive access to valuable customer information, brands can solely focus on their own D2C strategy to increase loyalty and sales. Pro Tip: Turn Your Website Into Your Strongest Growth Channel Breakthrough D2C growth happens when your site stops behaving like a catalog and starts acting like a destination. Replace rented reach with owned experiences: Use shoppable video on PDPs, PLPs, and homepages to recreate the discovery and engagement of social platforms without relying on their algorithms. Lead with a founder or brand story video: Greet first-time visitors with a short, authentic video that explains who you are, why you exist, and where to shop next. This builds trust instantly. Use video to answer what socials can’t: Show fit, scale, use cases, and real reactions directly on your site so shoppers don’t need to leave to “research.” Turn insights into advantage: Track which videos drive clicks, add-to-carts, and drop-offs, then double down on formats and products that actually convert. Quick Tips for Making the Most of Shoppable Video Brands looking to maximise their shoppable video ROI should keep the following in mind: There’s no need to spend a lot to make a great video, keep it simple and stick to these guidelines and you’ll be well on your way. Don’t forget, audiences favour unfiltered and authentic content over slick productions. Taking a low-key approach works in favour of your business. Try embedding a Founder story to greet customers with. This should quickly introduce them to your brand and its products and direct them to where they need to go. Consider your Founder story and how it connects to your overall brand story. Work through it if necessary to identify your business’ values, mission, and goals. Keep it simple and authentic. Utilise influencers and user-generated content. Reviews are especially essential to credibility, so make the process as hassle-free as possible for your customers. For a start, you can use videos you already posted on social without creating new ones and make them shoppable. Make sure that you choose the most engaging videos. You already know what works well on your socials so use the information you already have. Make sure that every piece of content represents this brand narrative. Consistency is key to reinforcing brand messages. By reclaiming their right to dictate their own direction through use of independent shoppable video platforms, D2C retailers are making it clear to the big names in social media that their era is officially over and the playing field is now even for businesses of all sizes. --- # Storytelling Marketing Strategy: Authentic Storytelling is Key URL: https://www.gotolstoy.com/blog/storytelling-marketing-strategy Author: Tolstoy Team | Published: 2023-02-20 Summary: Authentic storytelling is redefining marketing in 2026. Discover how brands connect with customers through video, interactivity and immersive content. Key Takeaways Authentic storytelling wins attention : Shoppers are overwhelmed with choices, so brands that show real people, real use cases, and clear values stand out and build trust. Video is now the core shopping tool : Short, engaging videos help customers understand products better and are proven to influence buying decisions more than static images or text. Shoppable and interactive videos drive action : Letting shoppers explore products, ask questions, and buy directly inside videos keeps them engaged longer and increases conversions. Product demos reduce hesitation and returns : Interactive demonstrations help customers see how products actually work or look on them, leading to more confident purchases. Immersive experiences boost loyalty : Tools like AR, VR, games, and competitions make shopping more fun and personal, which increases time on site, brand recall, and repeat visits. By Dov Kaufmann, co-founder of Tolstoy The pandemic has had a monumental impact on the e-commerce industry, instigating a rapid-fire change in consumer behaviour. Bricks-and-mortar shopping experiences have been replaced with a digital shopping landscape, with more than two billion online shoppers scouring the internet globally for their next purchase. Consumers are enthusiastically buying into the convenience of online shopping, but on the flip side, they are facing the challenge of a limited understanding of their purchase through a lack of product visibility online. Today there are an estimated 24 million e-commerce sites across the globe, and it is forecasted that by 2040 nearly 95% of all purchases globally will be made online or through a digital platform. Business owners find themselves in a situation where competition is increasing faster than the market is expanding, and drop-shipping is gaining huge traction. It is now more and more difficult to stand out in an overly saturated market. This change in buying behaviour along with the rising demand for short-form video has revealed that marketing tactics need to be redefined to be about immersive, customer-centric content, not just disruptive messages. TikTok’s monumental success can be attributed to its ability to allow brands to inspire their fans in authentic and entertaining ways, and that’s what consumers want—genuine connections with authentic brands. “The writing is on the wall and it’s telling us that to stay front-of-mind in audiences of the future, brands need to up their game in terms of creative storytelling and the representation of their ethos. The globally minded audiences of tomorrow demand more complexity, more authenticity, and more transparency,” said co-founder and CEO of market-leading video-based platform, Tolstoy, Dov Kaufmann. “Marketing tactics like interactive and shoppable videos can channel the desire for authenticity and help businesses build the valuable connections they need to succeed and stand out from their competitors,” said Dov. “Marketing is poised to be about making the shopping experience more fun, convenient, and meaningful.” What Marketing Tactics Can We Expect to See in 2026? 1. Shoppable Videos In 2026 the shoppable video experience will take over much of the way we shop online. Shoppable video is rapidly transforming the e-commerce storefront by capturing an audience's attention with an experience as immersive as TikTok, with eye-catching product videos to show how their products look in real life, on real people. Videos alone have proven to be a powerful sales tool with more than 50% of shoppers saying that online videos help them decide which brand or product to buy. With shoppable videos, customers can research all they need to know and read more about the products all within the same shopping session. Videos can be embedded in e-commerce sites, sent via SMS and email, or displayed as stories, a Carousel or Widget, enabling users to scroll through videos to view products and buy directly from the videos with "add to cart" or "shop now" buttons. These days over 82% of all consumer online traffic is spent viewing video content, and businesses are realising the tremendous potential of this incredibly effective tool. Pro Tip: Turn Authentic Stories Into Shoppable Moments Authentic storytelling works best when customers can act on it instantly, not later. Story first, SKU second: Build short videos around real use cases, creators, or customers, then layer products in naturally using Tolstoy shoppable tags instead of leading with price or promos. Let viewers choose the story path: Use interactive video to ask what they care about like fit, use case, or problem to solve, then branch to the most relevant clips to keep it personal and human. Anchor stories on PDPs: Place your most authentic videos above the fold on PDPs so shoppers see real people and real outcomes before specs, reviews, or FAQs. 2. Interactive Videos Savvy customers now gravitate towards brands that can provide them with unique, tech-forward shopping experiences. In fact, 75% of consumers expect brands to leverage new technologies to build better online experiences. Interactive videos allow brands to send users on a unique journey where there's more of a person-to-person conversation or personal experience, as opposed to the linear monologue that traditional videos create. Interactive videos have the capability to turn passive viewers into active participants by creating a memorable, thoroughly engaging experience. This results in reduced user drop-off and higher engagement. Research also shows that the click-through rate of interactive videos is 10 times higher than passive videos. By allowing viewers to ask the questions they want, or to see and interact with the products they're interested in, brands will save in costs and time and provide their customer base with more targeted, genuine leads. 3. Product Demonstrations Interactive product demonstrations allow potential customers to experience a product and all its features through a self-guided, clickable process. Product demonstrations are seeing rapid growth in the digital world as brands are now turning their attention to virtual experiences—offering consumers a direct window into an e-commerce store from the comfort of their home. A product demonstration can be as complex as allowing a customer to explore the intricacies of an engine, or as simple as displaying different clothing items on different models with different body types. By providing each customer with the opportunity of a personalised demonstration, they're able to view the product in a way that interests them, thus avoiding unnecessary information and potentially boring the customer. This method has the advantage of providing customers with tangible proof of how a product works which then aids them in their purchase decision. In addition, they can boost the appeal of a brand’s products to a wider audience and build a sense of familiarity with the brand. 4. Virtual Reality & Augmented Reality Virtual reality (VR) marketing incorporates the full immersion of a customer into a virtual world. This can connect a customer with a brand or product by engaging a variety of the customer’s senses, encouraging more interaction. VR allows brands to create and imbed memorable experiences, as well as bring an entertainment factor to advertising. This is more immersive than a customer scrolling down a static catalogue and encourages visitors to spend more time viewing the products, interacting with the brand, and ultimately increasing the chance of sales. Augmented reality adds to an existing environment by introducing computer-generated images and effects. Using AR, prospective customers can try on clothing items without needing to directly interact with them. According to Shopify , implementing AR technology into the online shopping experience can increase product interactions by 94%. And while in-store purchases are returned at a rate of 5-10%, online purchases returns currently sit at around 40%. To overcome this challenge, AR/VR can help customers to make more informed decisions, reducing the need for returns. 5. Competitions & Games Competitions and games are prize-driven strategies that encourage people to participate and engage with a brand in the hopes of a reward. A competition or game is a great way for a new audience to follow a brand’s social media accounts as it incentivises their actions in exchange for a chance to win. This marketing tactic can help a business obtain multiple goals such as increasing brand awareness, encouraging customer loyalty, increasing sales, and obtaining customer information with little effort. Not only are people more than willing to share their details when it comes to entering competitions and playing games, but they will also share achievements around social platforms which can further boost awareness. With more and more people spending time at home and working remotely, the demand and consumption of authentic storytelling and genuine connections with brands has—and will continue—to accelerate. Brands are optimally positioned to embrace technology like shoppable videos to meet their customers' need for an immersive, personalised online experience. --- # The Future of Online Retail: Video and Social Commerce URL: https://www.gotolstoy.com/blog/video-and-social-commerce-the-future-of-retail Author: Tolstoy Team | Published: 2023-02-20 Summary: Discover how video and social commerce are transforming retail. Learn why shoppable videos and interactive content are the future of online shopping. Written by Dov Kaufmann, Co-Founder and CEO of Tolstoy Around 3.5 billion people—just over 44% of the world’s population—use social media in some form. Social platforms are the entry point for many people's online activity, from news, entertainment, communication, and now commerce. This only intensified following the onset of the COVID-19 pandemic. Consumer expectations for content have evolved since the inception of social media, and the growth in popularity of video means an increasing number of people consider it the new norm . The exponential growth of TikTok and free access to online video content suggests that toward the end of 2022, over 82% of all consumer online traffic will be spent viewing video content. Recent statistics also reveal that the average person spends nearly two hours a day watching videos, and video posts attract 48% more views than static posts. These subtle shifts to video across multiple platforms is a sign of more significant shifting trends in consumer behaviour—and that the future of ecommerce lies in video content. Social commerce provides an innovative new way to buy and sell products and is founded on the trust provided by social connections. It's a small step to alter traditional retail into a people-powered retail revolution. Moreover, it's highly successful and simple. Why? It seamlessly blends social experiences and ecommerce transactions through a single platform. And it’s set to sweep the world, growing into a $1.2 trillion wave of change by 2025. Unlike a conventional web-based ecommerce operation where products and services are showcased via images and text with a separate shopping cart, contact information and customer service page, video ecommerce is an all-encompassing experience centered around the customer. It’s for this reason that the medium is poised to replace traditional web stores to become the ‘new normal’ of buying and selling online. This will impact every brand, retailer, and platform business. Shoppable Videos: The New Driver Behind Purchasing Decisions Shoppable video is rapidly transforming the ecommerce storefront as businesses realise the tremendous potential of this incredibly effective tool. From web searches to shoppable feeds (embedded video feed on an ecommerce site as a stories, Carousels or widgets), video is increasingly driving purchasing decisions with conversion rates of up to 30% and an incredibly positive return on investment. Fascinating statistics show that shoppers who view video content are 1.81 times more likely to purchase than non-viewers. Google is also a big fan of video content, being 53x more likely to rank a website with video embedded. Video is widely accepted as a crucial part of cross-channel promotion and pulls in more than its fair share when it comes to conversion rates. What does this all mean for brands, retailers, and platforms? One thing's for sure: social commerce is a model they must embrace. For platforms, it opens new revenue streams just as growth in digital advertising is expected to slow. For retailers, there are opportunities to develop new types of shopping experiences by meeting their customers where they hang out online, and by connecting in new ways and engaging influencers/creators. And for brands it means embracing the shift from big to small, empowering small businesses and engaging directly with consumers through social platforms. Getting started with video doesn't have to be complicated or difficult. With just a few simple tips, you can create videos that are both informative and engaging. Here’s 3 Tips to Help Get You Started With Video: 1. Focus on the videos that were successful on your socials No need to stress over developing a well-crafted post when you already have a repository of content available. Revisit successful Instagram Reels or TikToks and edit to include product tags. Be sure not to overwhelm your followers—remember that customers want to build relationships with brands through trust and connection, not feel like they’re being bombarded with advertisements. 2. Consider the production value of your videos You don't have to be a high-budget Hollywood movie maker to create a high-quality video production, but make sure your video is professional and presentable. Invest in good equipment and software and take the time to familiarise yourself with everything. After all, user-generated content and creators' content gets the most engagement online, and engagement is critically important for a brand's success. 3. Keep it simple It's time to shine. Show your brand’s unique personality, show them how to use your product, and make them fall in love with your business with eye-catching videos. Keep it as simple and authentic as you can! It's undeniable that the future of commerce is digital, specifically through interactive and Shoppable videos, and Tolstoy is quickly positioning itself to help businesses gain market share of the lucrative Gen X and Gen A segment. The advantage is that merchants and retailers have the means to harness the power of video-based ecommerce independently of social media platforms. As consumers spend more time online engaging with video content, the opportunity is ripe for brands to convert them into lifelong customers, and Tolstoy stands to deliver. Ready to add video commerce to your site with 1 click? Visit https://www.gotolstoy.com/ --- # 5 Interactive Sales Videos to Inspire Your Next Campaign URL: https://www.gotolstoy.com/blog/genius-interactive-sales-videos-to-draw-inspiration-from Author: Tolstoy Team | Published: 2023-02-16 Summary: Discover 5 inspiring interactive sales videos from top brands like Hyundai and P&G. Learn how to boost engagement, personalize experiences, and drive sales. With access to a wealth of media online, it's often difficult to make your business stand out with traditional text, images, and video. Marketers are often at a loss for what to do in order to drive engagement and stop bleeding customers. If this is the case for your business as well, you should start using interactive videos in your marketing campaigns. Interactive sales videos are the latest technology that enables marketers to engage more potential customers, give them a personalized experience, and increase sales as a result. Read on for some interactive sales video examples that are guaranteed to inspire you. » Looking for new advertisement ideas? Learn how interactive videos can bring you more customers . 1. Hyundai Interactive Video In this interactive video, Hyundai has created something eye-catching, short, and memorable. The interactive video doesn't offer a deep experience like some other examples on this list, but that isn't required for what they're advertising. They showcase the product (a car) and offer five buttons that, when pressed, bring up an image with some descriptive text about a specific feature. A key takeaway here is not to overdo (or underdo) your interactive video. It's tempting to do too much sometimes—but then you risk losing your viewer's attention. Simple and sweet with a visible CTA like "Book a test drive" is often the best way to go. 2. P&G; Ariel Interactive Video If you've seen one washing detergent advertisement, you've probably seen them all. This is true with most traditional video ads, but P&G; Ariel broke the mold with this interactive video, which became the brand's most engaged ad to date. They expertly tailored the video to fit their audience, and they did so by adding the following: A vertical design for social media (with a standard widescreen design for website use, as well) Quick options that address each customer's pain point concerning washing A clean design that shows just enough in each video segment The result? Increased engagement, as the video captures the viewers' attention instead of making them block or ignore the advertisement like they would if it were just another traditional detergent ad. --- # 3 Ways to Embed Shoppable Videos on Shopify URL: https://www.gotolstoy.com/blog/ways-to-embed-shoppable-videos-on-shopify-screenshots Author: Ali Shah | Published: 2023-02-16 Summary: Learn 3 simple ways to embed shoppable videos on Shopify. Boost engagement, improve customer experience, and drive more sales with interactive videos. Shoppable videos are a powerful way to enhance the user experience as they streamline the sales funnel and simplify the shopping experience. Doing so offers the following benefits: Visual appeal Videos are a visually appealing and engaging way to showcase products, which can help to capture the attention of potential customers and increase interest in a brand. Storytelling Videos are a powerful medium for storytelling, and they can help brands connect with customers on an emotional level by showcasing the brand's values, mission, and personality. Convenience Videos can make it easier for customers to learn about and understand products, which can improve the overall shopping experience and increase conversions. Mobile optimization Many videos are optimized for mobile devices, which is important given the increasing number of people who use their phones to shop online. SEO Videos can help to improve a store's search engine ranking and drive more traffic to the site. Hiring a Shopify professional to embed videos on your site can be pretty expensive. Thankfully, there are many approaches to embedding a shoppable video on your Shopify store, and this article will guide you through the different processes in the simplest way possible. » Still not convinced? Read 7 Brilliant Ways Videos Can Increase Your Conversion Rates 1. Using a Third-Party App There are several third-party apps, such as Tolstoy , available on the Shopify App Store that allow you to create and embed shoppable videos on your store while eliminating much of the difficulty. These apps often offer additional features and customization options, such as the ability to create interactive elements within the video or track user engagement. Tolstoy is one of the best apps on the market for creating shoppable videos for Shopify stores. Simply install the Tolstoy app and connect your account with your Shopify store. The process of embedding video has never been easier than before, thanks to Tolstoy. The process starts with uploading the video to our platform (whether a new one or a streaming site), then customizing the video with your store alignment, adding elements such as clickable links, and lastly, embedding the video on your Shopify store using the Tolstoy embed code. Now, save and test—piece of cake! » Want to learn more about creating interactive content with Tolstoy? Discover the simplest method for doing so 2. Via Shopify Admin Product Gallery Step 1 : Scroll down to the media section Step 2 : Click "Add media from the URL" Step 3 : Click "Embed video" Step 4 : Insert the original video URL Step 5 : Save Product Description You have to follow the same steps as above or opt for the “split” command Step 1 : Click the <> icon to Show HTML Step 2 : Add after product description Step 3 : Add your embedded code Step 4 : Save, and the video will show up in your product description » Interested in interactive marketing? Discover the best interactive marketing strategies 3. Leveraging HTML Code To add a shoppable video in HTML, follow these steps: Find a video hosting platform Some good options include YouTube or Vimeo. Upload your video Once you've chosen a video hosting platform, upload your video to the platform while following their instructions Get the embed code Once the video has been uploaded, you'll need to get the HTML embed code for the video. Add the embed code to your HTML You can do this by opening the HTML file for the page where you want to display the video and pasting the embed code into the desired location. Add tags to specific products or product collections To make the video shoppable, you'll need to add tags to specific products or product collections within the video. You can do this by using HTML and JavaScript to create clickable tags within the video. Test the shoppable video Once you've added the shoppable video to your website, be sure to test it to make sure it's working as expected. This will allow you to identify and fix any issues before publishing the video on your website. While it isn’t too difficult to add your videos to Shopify within the dashboard, it isn’t simple. Here is the code that will help you to embed shoppable videos in HTML. My Shoppable Video My Shoppable Video Product 1 Enhance Your Customer Experience With Shoppable Videos The e-commerce market is forever looking for ways to streamline sales funnels, improve customer experience, and increase sales. With the multitude of tools available to beginner and advanced e-commerce sellers alike, there's really no reason not to leverage this powerful tool. Get started with Tolstoy today . --- # UGC in Ecommerce: Top 5 Uses + Best Platforms (2026) URL: https://www.gotolstoy.com/blog/ugc-in-ecommerce Author: Samantha Becker | Published: 2023-02-14 Summary: How to use UGC in ecommerce: five proven plays, the best UGC platforms, and how to automate user-generated content across your online store in 2026. Key Takeaways UGC builds instant trust : Real photos, reviews, and videos from customers feel more authentic than paid promotions. Shoppers rely on this content to judge quality before buying. UGC boosts conversions : When buyers see honest reviews or unboxings, they gain confidence. This leads to more sales and fewer returns. UGC increases traffic : Customer posts and reviews naturally improve search visibility and expose your brand to new audiences on social platforms. UGC strengthens loyalty : Featuring customer content makes people feel valued. When shoppers see their own photos or stories showcased, they are more likely to stick with your brand. UGC is easy to source and low cost : You can find existing content online or encourage more through follow up messages, branded hashtags, or challenges. Since customers create it on their own, it acts as free marketing. What Is UGC? UGC is User-Generated Content which is created by individuals. The content can be in a variety of forms such as text, photos, videos or podcasts. Here are the most common types of UGC: Reviews and Ratings Reviews are the most common form of UGC. Reviews can be given as star ratings, comments, pictures and videos. Testimonials While reviews are a quick overview, testimonials are a longer, more in depth story about a customer’s experience. These are usually inspirational stories that go into detail of before and after the use of a product. Unboxing Videos Subscription companies offer customers more than just a product, but the experience of opening a gift and the element of surprise. Audience members enjoy watching unboxing videos as a way to discover new products. Another reason for the popularity of unboxing videos is for potential buyers to verify the quality of a product before purchasing it themselves. Entertainment Most of the time UGC isn’t centered around a product but is just created for pure fun – like this Mission Impawsible TikTok . How Is UGC Different From Influencer Marketing? Influencer-Generated Content is motivated by material compensation such as money or services. When an Influencer is being paid to advertise a product, their opinion becomes biased and less trust-worthy. According to a Stackla report , “UGC was shown to be 8.7x more impactful than influencer content and 6.6x more influential than branded content in consumers’ eyes – with 79% of people saying user-generating content highly impacts their purchasing decisions.” Benefits of UGC for eCommerce With shopping moving online and there being more options to choose from, consumers look at brand trust to help them make decisions. A potential buyer wants reassurance they are getting a quality product and superior service. User-generated content such as reviews and unboxings help buyers make decisions, as well as helps online stores increase sales. Below are a few examples of the benefits of UGC. Builds Trust User-Generated Content is the most trustworthy form of marketing available. In Nielsen’s 2021 Annual Marketing Report , 89% of consumers trust recommendations from people they know and 71% trust opinions from influencers. Comparatively, branded content such as online banner ads and ads on search engine results were less likely to be trusted. Creates Lasting Loyalty Humans have a need to feel seen and heard. When customers feel recognized and validated on an individual level by a company, they form a loyalty to the brand. “43% of consumers say they would be more likely to continue engaging with and purchasing from a brand if it shared their photos or videos” ( 2021, Stackla ). Boosts Conversion Rates When a customer views authentic reviews, they become more confident in their decision, leading to higher sales and less returns. If you are turning customer content into paid or onsite creative, use this guide on how to structure UGC ads so the story stays clear and conversion-focused. Increases Traffic and Brand Discovery Search engines look for specific keywords associated with websites. As users leave reviews and write about the brand, those keywords naturally increase the SEO score of an online store. Additionally, when users post about their experience with a product on social media, it leads to greater brand discovery. Smartly.io reported, “82% of Gen Z consumers use social media as a way of finding new brands.” Saves Money As user-generated content is voluntarily created, it is free marketing for a company. Most Effective Platforms for UGC Here's a list of the top social media sites: YouTube TikTok Instagram Facebook Twitter Reddit LinkedIn Reviews are also found on Amazon, Yelp and Google. How to Get UGC The first way to know if you have UGC is to search online. As UGC is created without incentives, there might already be content on your brand out there. However, there are ways to encourage consumers to create content without putting pressure on them. Emails and SMS Follow up on a sale with a personalized message to your customer. Get creative in asking them to leave reviews and unboxing videos. Hashtags Creating a hashtag unique to your brand will encourage social sharing. Fashion label ASOS created #AsSeenOnMe for customers to post photos of themselves in ASOS’s clothing. Challenges Tiktok challenges can go viral within minutes. Create a specific task based on your product and share it with your audience. An example of a branded TikTok challenge was Colgate’s #MakeMomSmile campaign . Influencers While influencer marketing is not UGC, a sponsored ad by an influencer could inspire their followers to do the same. Good to Remember UGC works best when it’s context-aware, so place it where doubt happens: size selection, variant comparison, or quality verification. Effects of Including UGC on Your Online Store Consumers actively seek out user-generated content such as reviews, unboxings and product displays to make decisions. When you put UGC directly on your product page, you are helping the buyer make a decision. Stackla reported the following: “80% of consumers say they’d be more likely to purchase a product from an online store if its website had photos and videos from real customers.” “58% of consumers have left an ecommerce store without purchasing because the site didn’t contain any customer reviews or photos.” “71% of consumers agree they’d be likely to purchase from an online store if the brand made it easy to click-to-purchase an item directly from an inspirational image.” Pro Tip: Use “Creator Clusters” to Personalize Discovery Automatically Here’s a sneaky-powerful way to make your UGC work 3× harder without producing anything new. Group UGC by Need State: Create clusters like “fit checks,” “quality close-ups,” “real-life routines,” and “before/after.” Mix Customers With Micro-Creators: Add a few niche creators to each cluster. Shoppers see both “people like me” and “people who know their stuff,” tightening trust and speeding decisions. Deploy Clusters Across the Funnel: Use high-energy clips for PLPs, slow-detail clips for PDPs, and testimonial clusters in email/SMS post-click journeys. Top 5 Ways to Use UGC in Your Online Store Numerous studies show that user-generated content has an influence on purchasing decisions. Add UGC directly to your online store to have an immediate impact on sales. 1. TikTok Gallery 2. Shoppable Videos Feature customers using your product on your homepage. With shoppable video galleries, customers can click-to-purchase from inside your video. 3. Unboxing Carousel Display customer unboxings directly on your landing page to showcase your product. 4. Social Media Photos Gather photos in one place on your website to show testimonials from your customers. Common places to display social media photos are on the landing page, product page and in the footer of the entire website. 5. Testimonials Page Having a page dedicated to clients sharing their stories can inspire future buyers to join the community. UGC in the AI Era AI-powered UGC is especially valuable for small and growing brands that want the authentic, creator-led look without the upfront cost of hiring influencers or customers. It’s also ideal for brands that want to test messaging quickly, experiment with different creative directions, and iterate without long production timelines. AI makes it possible to access the UGC “vibe” early, even before a strong creator community is established. To get started, brands can use AI tools to generate UGC-style videos that feel native to social and eCommerce environments. E-commerce-focused platforms like Tolstoy AI-Studio enable high-quality, realistic videos in the right formats for product pages and shoppable experiences. By testing multiple avatars, settings, visual styles, and messaging variations, brands can quickly learn what resonates most with their audience, achieving optimized performance faster, with lower costs and without lengthy review cycles. References Nielsen. (2022). Global Annual Marketing Report 2022. https://annualmarketingreport.nielsen.com/wp-content/uploads/sites/16/pdf/full_report_1666535864_1744248833.pdf IAB. (2019, May). User-Generated Content for Marketing and Advertising Purposes. https://www.iab.com/wp-content/uploads/2019/05/IAB-UGC-for-Marketing-and-Advertising-FINAL-May-2019-2.pdf Stackla. (2021, August). Post-Pandemic Shifts in Consumer Shopping Habits: Authenticity, Personalization and the Power of UGC. https://www.nosto.com/wp-content/uploads/2021/08/Stackla-Post-Pandemic-Shifts-in-Consumer-Shopping-Habits-Data-Report_FINAL_compressed.pdf Smartly.io. (2022, May). How to Engage Gen Z on Social Media. https://www.smartly.io/ebooks/how-to-engage-gen-z-on-social-media --- # Where to Place Video Testimonials for Maximum Impact URL: https://www.gotolstoy.com/blog/where-to-place-video-testimonials-on-your-website Author: Tolstoy Team | Published: 2023-02-06 Summary: Discover the best places to showcase video testimonials on your website. Build trust, boost conversions, and highlight real customer success stories. If you want to focus on creativity and skip the long talk, you should probably look into video testimonials. They are a unique way to showcase customer success stories while maximizing the potential of videos. Testimonials are also an incredibly effective way to build trust with potential customers and show them how your product can benefit them. All in all, the powerful combination of video and testimonials can give you an edge in the market. So, where should you place these important video testimonials on your website? The answer is that there are several places to consider, so let's check them out. 1. Home Page The most important place to showcase your testimonials is on your home page. This is because it’s the first thing visitors will see when they arrive at your website, and we all know how important it is to make a good first impression. Having video testimonials on your home page will make your brand appear more trustworthy and give visitors a good indication of what they can expect from you. 2. Product or Service Page Another great place to put your video testimonials is on the product or service page. Here, testimonials would allow the visitors to learn more about the product they are looking at, see how your products can benefit them, and potentially inspire them to make that final decision. » Check out the 3 main reasons product demos can boost your sales 3. About Us or Contact Page Video testimonials are also a great addition to your About Us or Contact page. This is because they give visitors an insight into the success your brand has achieved, and thus, help increase the trustworthiness of your website. 4. A Dedicated Testimonial Page Finally, you can create a dedicated page just for your video testimonials. This is the perfect place to showcase the best of your customers' experiences and show off your excellent customer service and customer relations. What to Keep in Mind When Creating Testimonials When you’re creating video testimonials, it’s important to make sure they are of good quality. Your videos should be clear and well-lit, with minimal background noise. Make sure that your customers speak positively and enthusiastically about your product, and that they use language that is easy to understand. Finally, don’t forget to include a link back to your website so that potential customers can follow up and learn more about you. » Learn how to collect consumer video testimonials easily --- # E-Commerce Conversion Strategies: Scale Your Online Store URL: https://www.gotolstoy.com/blog/ecommerce-guide-strategies-for-driving-conversions-and-scaling-your-business Author: Tolstoy Team | Published: 2023-02-01 Summary: Discover proven e-commerce strategies to boost conversions and scale your business. Learn key tools, tech stacks, and expert tips to grow smarter and faster. Key Takeaways Start with a product people truly want: A remarkable product drives word of mouth and organic growth. Strong unit economics and healthy margins matter more than chasing growth at any cost. Build a smart, simple tech stack: Use a solid commerce platform, email and SMS automation, customer support, reviews, and subscriptions to create a smooth buying experience and increase lifetime value. Use UGC and interactive content to boost conversions: Adding customer videos, reviews, and interactive elements across your site and emails keeps shoppers engaged longer and can lift AOV. Match your ads to focused landing pages: Keep a consistent story from ad to landing page. Sending traffic to a highly relevant page instead of your homepage can significantly improve conversions. Expand reach through marketplaces and partnerships: Managed marketplaces and cross-store selling help you access new audiences, increase AOV, and grow without holding extra inventory. E-commerce is a rapidly growing industry, and with more and more people turning to online shopping, it's more important than ever for businesses to have a strong online presence. In a recent webinar with Tim Masek (CEO, 1-800-D2C) and Anaita Sarkar (Author, Sell Anything Online), they shared proven key strategies for driving conversions and scaling your eCommerce business. Exciting New Tools Fondue : Offers cash back incentives to customers. Discounts are shortsighted, lack longevity, and are a huge loss of revenue. Discounts also capture the wrong type of customers who are motivated by discount incentives and won’t buy your product at full price. A better solution is to offer customers cash back. Those who are discount incentivized are still motivated to purchase. Those who aren’t motivated by discounts won’t redeem the cash back, and the money will go back into your business. Bounty : Automate the process of gathering UGC and purchasing the rights to use the videos. Bounty empowers the everyday customer to become a creator by incentivizing them with cash based on how many views their videos receive. Businesses can gather more UGC at a lower price. Tolstoy : Add UGC to your online store. With Tolstoy you can get more mileage out of your social media videos by having them live on your site. With scrollable video feeds on your site, customers will spend more time on your site and have a larger AOV. Spellbound : Create interactive emails to engage customers and collect data. Stop making your emails sound like a sales pitch, turn them into a 2-way conversion. It’s high touch and you gather feedback. Most Popular Tech Stack for Launching an eCommerce Business Best to Start With Shopify : Commerce platform providing trusted tools to start, grow, market, and manage a retail business of any size. Klaviyo : Automates personalized email and SMS communications. Connects to your store to create customer segments based on past purchasing behaviors, customer preferences, and even future predictions of spending. Gorgias : Customer support platform to chat with customers, edit orders, modify subscriptions, and refund payments Junip : Collect reviews via email and SMS. Leverage photos and videos from customers to share directly on your storefront. Okendo : Capture and showcase social proof such as product ratings and reviews, customer photos, videos, and Q&A.; Easy Add-Ons to Take Your Store to the Next Level Social Snowball : Automated affiliate acquisition, one click universal payouts, and a simple interface for eCommerce merchants selling on Shopify. Superfiliate : Personalized storefronts for your best customers, influencers, and affiliates Smartrr : Subscription app built to increase LTV, Smartrr increases customer engagement and brand affinity with a variety of out-of-the-box subscription models, flexible subscription management options, loyalty rewards, referrals, and member-only benefits. High-growth brands, such as Starface and Bloom, have seen an average of 5X more sales over the lifetime of a subscriber. Skio : Subscription platform that is multilingual and gives customers an easy way to login to their account (passwordless login via SMS code). Bounty : Drive growth by generating more UGC videos. At checkout an automated message will be sent to customers to encourage them to take a video review of your product and post it on TikTok. Tolstoy : Increase conversions and leverage UGC by strategically adding interactive videos throughout your customers shopping journey. Tools to Significantly Improve Website Conversion Kno : If you’re advertising on TikTok, you need a post-purchase survey. KNO helps ad buyers better understand who their customers are, and where they’re coming from. Dial in your post-iOS 14 attribution, build more accurate personas, and drive action with pre-built post-purchase survey templates. Oddit : eCommerce designers take an unbiased look at your website and gives you constructive feedback on changes you can make to your site to boost long-term conversion & strengthen brand loyalty. In Tim's words, Oddit will “roast your website.” Clarity : Tim's most shocking finding of 2022. Clarity by Microsoft is a free research software that does heat mapping and scroll mapping. Tolstoy : Having UGC or video content in strategic places throughout your entire eCommerce experience will help you drive hard conversions. Good to Remember If your ad promises one thing and your PDP shows another, conversion drops fast. Continuity between ad, landing page, and video content is everything. Using 1-800-D2C for Competitive Analysis and Industry Insights 1-800-D2C has a comprehensive list of eCommerce companies and what software tools they are using. 1-800-D2C can be used as a tool to do a competitive analysis on similar merchants within your vertical. For example, you can see what software a competing business is using to help guide their consumers in sizing. Another way to use 1-800-D2C is to see what tools are popular in other industries and how you can apply it to your business. New Trend that Could Help DTC Merchants Get Off the Ground Managed marketplaces can help DTC merchants get their products in front of a wider audience and increase their visibility. AOV is much larger than it would've been for a single store. An example of a managed marketplace is Ohne , a curated destination for a community looking for the best products in period care, sexual wellness and wellbeing. Brands that have seen an increase in conversions from using marketplace cross-selling are Blendjet and Manduka . Carro automates marketplaces by connecting Shopify stores together to enable cross-store selling. Using Carro you can sell your products on leading stores, sell their products on yours, or both. Best thing about Carro is you don't have to hold any inventory because the merchant will ship the product. 5 Steps to Scaling Your Business Tim shares his learnings gathered from interviewing 50+ eCommerce founders - you can view his full interviews from Under The Hood here . Start with a remarkable product: “Consumers are the fortune tellers,” if it’s a good product, you will grow organically by word-of-mouth. Jeff, founder of Ugmonk , and Mike, founder of Windmill , are great examples of businesses that have started with a strong product and have seen success as a result. Unit economics are critical to growth: Don’t lose sight of your goals and get trapped in the appeal of growing at any cost – like spending too much money on ads and PR. Always keep your eye on a high profit margin. Matt, founder of Spacegoods , set himself up for success by creating a business model that led to a 85% profit margin. Paid advertising: Raize , Keto cookies, increased their monthly revenue from $10k per month to $50k per month by adding paid campaigns. Raize scaled exclusively with Facebook Ads. Other advertising channels like TikTok and Instagram can be explored, but traditional advertising on Facebook is reliable, and it works. Effective communication: Have a cohesive storyline from ad to landing page. Ask yourself, “what is the consumer’s goal?” and “how will they feel when they land on my page?” Landing pages are an incredible way to increase conversions. If a consumer comes across an ad for padded bags, when they click the ad, they should be taken to a landing page that features padded bags, not the generic homepage for all different types of bags offered. Anaita uses Shogun to create dedicated landing pages for targeted ads. Listen to customers: Jones Road Listening to customers (Eli) / making tweaks to Klaviyo flows / adding bundles / refining referral mechanisms. (Amelie at Underdays) Pro Tip: Scale Smarter by Turning Your Store Into an AI-Guided Buying Journey Scaling isn’t about more traffic. It’s about converting the traffic you already have. Replace static PDPs with guided selling: Add Tolstoy shoppable videos above the fold to answer objections instantly. Feature UGC that handles sizing, use cases, and comparisons so shoppers don’t bounce to reviews or competitors. Connect ads to dynamic landing experiences: When running paid ads, embed a product-specific AI Player feed on the landing page. Match the ad creative to the first video shown to maintain message continuity and lift CVR. Turn post-purchase into acquisition: Use checkout triggers to collect UGC videos and automatically push them into AI Studio. Repurpose them across PDPs, PLPs, and email flows to lower CAC over time. Optimize for LTV, not just first purchase: Pair subscription apps with AI Sales Agent to recommend bundles or refills based on browsing behavior. Monitor AOV and repeat purchase rate from AI-assisted sessions. The Future of eCommerce, is DTC Dead? Despite the challenges of the past year, DTC is far from dead. In fact, more people are selling online than ever before, with estimates showing an increase of over 200% in the last two years. Conclusion Having a strong product, effective communication, and utilizing the right technology stack are all key strategies for building and scaling a successful eCommerce business. Additionally, managed marketplaces can be a great option for DTC merchants looking to increase their visibility and reach a wider audience. DTC is growing and the market is ripe with opportunities. --- # 5 Ways to Digitize Assisted Shopping for Your Store URL: https://www.gotolstoy.com/blog/ways-to-digitize-assisted-shopping-to-link-your-offline-online-store Author: Tolstoy Team | Published: 2023-01-29 Summary: Bridge the gap between in-store and online shopping. Discover 5 smart ways to digitize assisted shopping and boost engagement, sales, and customer loyalty. There's no denying that the world has been quickly shifting towards a digitized era, and with the help of the recent pandemic, the need for contactless shopping has skyrocketed this change. As shopping has taken a shift towards the digital world, it's essential to integrate your own store with the online world in order to stay ahead of the curve. We've put together 5 tips for helping you do so. 1. Encourage Customers to Follow Up With Your Brand Making a sale should not be the end of your relationship with your customers. Returning customers costs your business less, and encourages loyalty, brand awareness, and repeat sales. One way you can encourage customers to return to your store is by placing QR codes or your site's URL on the packaging. The interactive video above is a great example of how a QR code or URL listed on packaging can bring customers back to your store and directly into a new sales funnel. In this case, through personalized skincare recommendations. By encouraging customers to return to your online store, you not only gain the opportunity to make another sale but can further engrave your brand's name into the shopper, thus encouraging brand loyalty and a spread of awareness. 2. Implement Buying Online & Picking Up In-Store BOPIS is a click-and-collect strategy that allows customers to browse through your products in the comfort of their homes, make a purchase, and simply arrive at your physical address for collection. Customers don’t have to wait for products to be delivered, stand in long queues, or deal with returns of items that don't reach expectations. Products are also generally cheaper as customers save on delivery costs. With the option for customers to browse through an online catalog, it's possible to showcase more items than your physical storefront can display. When customers come to collect, stored times can be brought from the back store, thus creating a wider variety of products and more sales opportunities. With cheaper products, less effort, and a faster reward, it's clear why allowing customers to buy online and pick up in-store is an effective strategy. 3. Allow Customers to Save the Product for Later Online Allowing customers to browse through your products online, select what they like, and save it to be purchased later (like a shopping cart seen on eCommerce stores) will encourage shoppers to return to your online store to complete the purchase or make a new one. Not only this, but tracking what customers save can give you a better understanding of a product's popularity, how to correctly stock the item, and where potential buyers fall off the sales funnel. Customers should be allowed to return to the online store and continue with the buying process, or, alternatively, pay and collect for the item at a physical address. 4. Allow Ordering in the Store & Shipping to Customers’ Homes Not everyone likes to shop online; however, in-store shoppers can be limited in what they purchase due to transport space or time. One way to counteract this constriction on sales flow is by offering customers the ability to browse and purchase products in-store and have them delivered to their homes. This allows customers to purchase a much larger quantity of goods, both perishable and non-perishable. Not only will customers be able to buy a larger quantity, but the physical size of the items is limitless. Lastly, not being able to see all the items they have purchased encourages shoppers to buy more, as they have not registered the quantity. 5. Interact With Your Community Interacting with your community online is more important than ever. Not only will keeping an engaged community encourages customers to return to your store, but it will present a place where you can freely advertise new products, deals, and future items. Interacting with your community gives your brand or company a personalized touch, and a "human-like" aspect, which further encourages customer loyalty. When customers are contacted and interacted with, they feel special and as though their needs and efforts are not only seen but cared for. An experience like this will keep customers coming back time and time again. A great way to interact with your community is to use content offered up willingly by them on your site, such as video reviews, or by offering interactive quizzes. You can even combine the two to have ambassadors for your brand advocate for your product in an interactive way, such as the video quiz below. Final Thoughts The world has become digital, and thus created the need for brick-and-mortar stores to integrate the digital world into their physical stores. By doing this, you will be able to engage with a younger audience, encourage faster, cheaper sales with a higher ROI, and increase customer experience and satisfaction. --- # 4 Tips to Collect Authentic Customer Video Testimonials URL: https://www.gotolstoy.com/blog/tips-to-easily-collect-customer-video-testimonials Author: Tolstoy Team | Published: 2023-01-23 Summary: Collect authentic customer video testimonials with ease! Discover 4 simple tips to boost trust, engagement, and conversions through real customer stories. Most customers are tired of advertisements that keep pushing products on them. So, a great way to approach your marketing campaign from a fresh angle is to use customer video testimonials where real people explain the benefits of your product. It's much more convincing when viewers see people they can relate to offering an honest opinion. Here's how you can persuade your customers to provide you with invaluable video testimonials. » Boost your Shopify engagement: 5 great video advertising tips 1. Ask at the Right Time Don't jump the gun and ask your customers to do this for you before they've had the time to test the product. Their testimonial will be much more genuine and valuable once they've explored your product—and it will also give you a chance to address any issues they may run into. 2. Offer Incentives Video testimonials are a lot more complex than 5-star reviews or text comments. So, tailor each outreach to the specific customer. For example, you can do it as a follow-up on a positive review that you can see the customer put effort into. Offering incentives, like discounts or free products, can persuade them to help you out with little cost to your business. 3. Offer to Create a Script While you want the customer to explain their personal experience, it's easier for them and better for your marketing team to offer your customers a script. Having a script is likely to reduce any nervousness or stammering that may come with speaking on video. 4. Explain the Value of Testimonials for Your Business If the customer likes your product and appreciates your business, explaining to them how valuable their testimonial would be (without being too pushy, of course) will go a long way. Work with customers who will understand their value to your business, as they usually create the best testimonials. » New at video prospecting? Learn why videos are effective for sales prospecting Final Thoughts Now you have all you need to start collecting customer testimonials. If you could use some additional help creating interactive testimonial videos, partnering with a platform like Tolstoy , which understands the medium and will stay with you every step of the way, is bound to improve your chances of success. --- # 3 Reasons Product Demo Videos Increase Your Sales URL: https://www.gotolstoy.com/blog/reasons-a-product-demo-video-can-help-increase-your-sales Author: Tolstoy Team | Published: 2023-01-17 Summary: Boost sales with engaging product demo videos! Discover 3 powerful reasons why showcasing your product in action drives trust, engagement, and conversions. Instead of making another typical advertisement for your product, why not create a demo video that showcases how the brand's product is used? Here are three reasons why creating a product demo video can help you increase sales quickly and easily. 1. It Can Persuade Potential Customers to Purchase Your Product Product demo videos showcase how the product's key features and benefits can be used in everyday life, which is great for helping your viewers understand the product better. This increases the chances of your customers purchasing it, as they can see actual proof that it does what it's supposed to. To capitalize on this confidence boost, you can make the product demo interactive through a platform like Tolstoy, with a direct shoppable integration that lets viewers purchase the product through the video. This also provides each customer with a personalized experience. » Learn more about how interactive videos can boost your sales 2. It Can Help You Engage Your Customers on Social Platforms As effectively engaging customers on social platforms gets harder, interactive product demos are becoming more relevant. These videos make it easier to advertise on social media thanks to their high levels of engagement and unique feeling, resulting in a bigger audience and more sales. 3. It Can Help You Grow the Number of Satisfied Buyers With the growth of your base of satisfied customers, remarketing will become increasingly challenging—especially if you have a product that lasts a long time. Creating a demo video of an updated version of the product or optional accessories can inspire customers to repurchase. Sharable product demos also help build a base of loyal customers who may share these videos with their friends and family, further increasing your customer base and building trust. Final Thoughts Beyond these three benefits, creating product demos showcases your business' expertise, improves advertising variety, and provides customers with the final push they need to take action. Adding an interactive aspect to the videos will increase engagement even more, and it's a surefire way to boost your brand. » Ready to start? Follow our guide to make a perfect interactive video for your online store --- # Founder Story Examples: How to Write a Compelling Story URL: https://www.gotolstoy.com/blog/founder-story-examples Author: Tolstoy Team | Published: 2023-01-16 Summary: Learn how to write a founder’s story that connects with your audience, builds trust, and showcases your brand’s vision with real-world examples. It's often difficult for marketers to communicate the ethos of a brand just through typical ads. This is where a founder's story comes in handy. A founder's story stands out by sharing the ideas, challenges, and passion behind a business and inviting the audience to join the journey. Here are some tips to help yours stand out. Key Takeaways Keep it short and personal: A concise, relatable founder’s story connects emotionally and is easier for audiences to remember and share. Avoid long or overly polished narratives. Lead with honesty and gratitude: Share real challenges, emotions, and appreciation for the people who helped along the way. Authenticity builds trust and humanizes your brand. Stay focused on what matters: Keep the story relevant to your brand’s mission and your audience’s interests so it feels meaningful, not random or self-promotional. Share your “why”: Clearly express the beliefs, vision, and motivation behind starting the business. This helps customers see how your values align with theirs. Inspire, don’t just inform: A great founder’s story isn’t just background, it’s an invitation for customers to join your journey and believe in what you’re building. 4 Expert Tips for Creating a Distinctive Founder's Story 1. Keep It Short, Memorable, & Easy to Endorse Storytelling is an art, but you don't need to be an expert to do it right. The best way to make the story memorable and easy to endorse is to make it personal. If the audience can connect with the founder and their story, they'll engage more. Keeping it short and sweet goes hand in hand with this since the one emotion you don't want your audience to feel is boredom. TOMS does a great job of keeping it short while still managing to communicate the company's humanitarian origins. 2. Be Honest & Express Gratitude Honesty is the best policy, giving your story the genuine tone it needs. The story should share the founder's raw emotions throughout their journey—especially their gratitude to those who continued to support the business through challenges (such as the employees, customers, investors, and partners). Chipotle's story is one of being honest with their customers and especially grateful to their employees. 3. Make It Relevant When composing the story, make sure to keep it relevant to the brand and the audience. Don't stray from the main storyline unless necessary. Sticking to the point will bring out positive emotions in the audience, especially if you're targeting something they're passionate about too. Warby Parker , for example, addresses the pain point of expensive eyewear, as it's the very reason the founder started the company. Did You Know? A Salesforce survey found 61% of customers say rising AI use makes brand trust even more important, yet fewer than half currently trust how companies use AI. 4. Share Your Beliefs, Vision, & Mission Most importantly, the founder should share what motivated them to start the business and what the beliefs, vision, and mission that drives them are. Describing these details briefly will give your audience a better understanding of how they can fit into the brand's vision. SoulCycle is genuine and isn't afraid to share what drives them, which does a great job of attracting those who can relate. » Interested in interactive marketing? Take a look at the best interactive marketing tools and strategies Pro Tip: Turn Your Founder’s Story into a Shoppable Experience Your founder’s story isn’t just backstory, it’s conversion fuel when told interactively. Use video and authentic storytelling to make shoppers feel like they’re part of your journey. Start with a Founder Video: Record a short (under 60s) video where the founder shares why they started the brand. Add tappable product tags tied to the story moment, “This was our first design.” Weave It into PDPs: Place that video above the fold on key product pages. Shoppers are 2× more likely to trust and buy when they see the real people behind a product. Add Interactive Chapters: Use Tolstoy’s branching feature so viewers can choose what to explore next. Close with a Call to Join: End the story with a clear CTA, inviting visitors to follow your mission or shop featured items that align with your values. Final Thoughts While it may seem daunting at first, all you need to make your story stand out is just sharing your journey in a genuine, relevant, and positive way. Your brand's unique approach will inspire the audience and give them something to think about. --- # How to Book More Meetings with Video Content URL: https://www.gotolstoy.com/blog/using-videos-to-book-more-meetings-no-forms-required Author: Tolstoy Team | Published: 2023-01-16 Summary: Book more meetings without forms! Learn how to use engaging, high-quality videos to connect with prospects, boost leads, and drive real conversations. You're probably wondering, is it really possible to book more meetings with video content? The answer is a resounding yes. Video content has the power to engage not only potential buyers but also high-quality leads and opportunities, making it one of the best interactive marketing strategies available. Video content can help prospects visualize your product or service before they have even had an opportunity to learn about it in detail. This can help create a more personalized connection and make them more likely to schedule an appointment—that's the main goal, after all. Today, take a look at how you can utilize video content to increase the quantity and quality of meetings you book. The Power of Video Content Video content has the power to draw potential buyers in and engage them on a deeper level than any other medium. It creates an emotional connection that helps you build trust while also providing valuable information about your product or service. With video, you can create an unforgettable experience for viewers that will get them excited about meeting with you in person. It's good to take note that today's digital marketing space is also dominated by video. In fact, 86% of marketing professionals used video as a marketing tool . Whether you're opting for long-form, short-form, or bite-size video, it's undeniable that video can be an incredibly powerful way to reach and engage prospects. » Learn more: 7 Brilliant Ways Videos Can Increase Your Conversion Rates Benefits Increase time spent on your site Video keeps viewers engaged and encourages them to spend more time consuming your content. This helps to build trust and demonstrate your authority in the industry. Customer engagement Video helps prospects better understand what you’re offering and builds excitement around scheduling a meeting. Improved targeting You can use video to target specific audiences more likely to convert, making it easier to tailor content that resonates with them. Use the Right Type of Video Content There are many different kinds of video content that you can use on your website, but not all of them are going to help you book more meetings. Having a detailed video about how you make your product sitting on your homepage might interest a few people, but it's not likely to get people interested in talking to you. However, having the right interactive video that allows users to choose their responses in a conversation with you is far more likely to create that personal bond you're looking for. If you'd like a great example of a compelling interactive conversation that can get your customers interacting with your presence, simply take a look at the video below: » Need help with interactive videos? Read our guide to help you understand Create Video Content That Secures Meetings Now that we’ve discussed the power of video content, let’s take a look at how you can create effective video content that will help you secure more meetings. 1. Plan Your Structure & Write a Script The most successful videos are ones that are well-structured and have a clearly defined purpose. Take the time to plan your video structure and create a script that conveys the message you want to get across. Additionally, you may want to consider adding an introduction, a few key points, and a call to action at the end of your video. Make sure these sections are well thought out and engaging so that viewers stay interested until the end. And lastly, get creative and enjoy the process. Don’t be afraid to have fun with it and add your personality to your video. 2. Ensure You're Using the Right Tools Having the right equipment and background will help you create a professional video that looks great on any device. But if you'd ask us, you don't need to be a professional videographer with expensive equipment to create thumb-stopping content. Just make sure that the video is well-lit, you have a good contrasting background, and you have a clear view of yourself and/or your product. Additionally, with the power of Tolstoy's technology , you don't need to waste money on expensive video editing software. » Need more interactive marketing tools? See our list of the best interactive marketing tools available 3. Cut Back on Quantity, Focus on Quality It’s important to think about quality over quantity when it comes to video content. If you’re trying to create as much content as possible, your videos may not be up to your standards and won't result in successful meetings. So instead of trying to rush out video after video, focus on creating fewer but higher-quality videos that will really engage potential customers. By taking the time to create quality video content, you’ll be able to set yourself apart from your competition and get prospects excited about meeting with you in person. 4. Don't Neglect Post-Production Post-production is an important step in the video creation process. This is where you can make tweaks to your videos and add extra elements such as music, textual overlays, animation, etc. Editing also allows you to keep viewers engaged by cutting out any unnecessary parts of the video and keeping it short and concise. It's also a great way to ensure that your video looks professional and polished. But moreover, it gives life to your video, making it more digestible for your audience. 5. Add a Compelling CTA What do you want your audience to do after seeing your video? Of course, you want to see their messages straight to your mailing list. That's why it’s essential to include a clear and compelling call-to-action (CTA) at the end of your video. This can be anything from signing up for a webinar or workshop, joining your mailing list, or booking a meeting with you. By making sure your CTA is visible and easy to understand, you can increase the chances of viewers taking action. Going back to tip # 4, adding an engaging text overlay and animation can also help drive viewers to take action. An example of a video with a compelling CTA includes shoppable videos like the one listed below. Instead of having a "shop now" button, you could replace it with a "let's talk" option that allows customers to book a meeting with you, like a Calendly link. The Bottom Line Creating video content that secures meetings takes time and practice, but it’s well worth the effort when you see an increase in leads and appointments. To get started, make sure to plan your structure and script, use the right equipment and background, focus on quality over quantity, and don’t forget to add a compelling CTA. By following these tips, you’ll be able to create powerful video content that will help you land more meetings and get your business to the next level. » Ready to get started? Discover how Tolstoy can help you --- # Video Sales Letters: How to Book More Meetings Fast URL: https://www.gotolstoy.com/blog/video-sales-letters-why-using-them-helps-you-book-more-meetings Author: Tolstoy Team | Published: 2023-01-16 Summary: Discover how video sales letters boost engagement, build trust, and help you book more meetings with personalized, compelling messages. Traditional sales letters are used to pitch an idea or product to a prospective customer by gaining their attention, discussing pain points, and offering your product as a solution. With video sales letters, the power of this marketing strategy is taken a step further. And since videos bring more engagement, there's no reason to leave them out of your sales letter strategy. » Are you new at video prospecting? Make sure to avoid the most common video prospecting mistakes . What Is a Video Sales Letter? A video sales letter is very similar to the traditional sales letter, as it uses the same methods to build a desire for a product or service by pinpointing issues and then offering the product as a solution to said problems. A good video sales letter should: Point out an issue Provide a product or service as a solution Build brand credibility Discuss social proof Why Are Video Sales Letters So Effective? According to surveys, more than 70% of people would prefer to learn about a product through video than by reading a text. Videos are more relatable, entertaining, and direct. This helps create better engagement by controlling your sales flow (viewers tend to skim text but watch entire videos). Furthermore, we are very visual creatures and respond to tone and body language. With video sales letters, you can personalize your content, giving your audience a more relatable experience. Key Takeaway Video sales letters take the successful strategy of sales letters and give it a modern-day twist by adding a visual and captivating aspect. After all, videos are the most viewed content on the internet, so why not take advantage of them? --- # 7 Brilliant Ways Videos Increase Conversion Rates URL: https://www.gotolstoy.com/blog/brilliant-ways-videos-can-increase-your-conversion-rates Author: Samantha Becker | Published: 2023-01-03 Summary: Boost your conversions with video! Explore 7 smart ways to use interactive videos to engage audiences and drive more purchases. ​​Key Takeaways Interactive video grabs attention fast : Shoppers skim past static images, but video pulls them in and keeps them engaged long enough to understand your product and take action. Real customer clips build trust : UGC inside videos shows products in real life, which boosts confidence and helps shoppers feel sure about their purchase. Shoppable videos remove friction : Let viewers tap to explore products or add to cart right inside the video. Making buying effortless leads to higher conversions. Use video to explain value quickly : Short demos, Q&A; clips, and brand story moments help you answer questions faster than text and reduce hesitation. Data helps you improve in real time : Video analytics reveal what shoppers watch, skip, or click so you can refine your content and increase results across your store. There's one tool you may not be using that can help boost conversions like crazy—interactive video. Here’s what you need to know. Are you looking for ways to increase your conversion rates? There's one tool you may not be using that can help boost conversions like crazy—interactive video. As virtual visitors scroll through your website or emails, passive content like images and text can be easily ignored. But interactive video engages viewers in a way other content can't. (Just look at how much people engage with platforms like TikTok and Instagram—people love video content!) Videos allow you to connect with your audience on a personal level and tell your story in a way that words and still pictures simply can't match—wondering how it works? In this article, we'll explore seven ways videos can supercharge your eCommerce conversions. What Factors Drive Ecommerce Conversion Rates? When it comes to converting an audience, you can't expect things to happen on their own. Instead, there are four essential elements you must absolutely nail to make those conversions happen. Audience Engagement If your target audience is not engaged with your content, they are much less likely to convert. Think of any successful brand in your niche, and you'll find tons of people liking, commenting, and interacting with the content that the brand produces. That's where interactive videos come in— product videos are an excellent way to elevate engagement and keep your audience interested in what you have to say. Trust Building One study found that using video on a landing page can increase conversions by as much as 144%. That's huge! And it makes sense—a video on your page can quickly show your target audience who you are and what your brand is all about. When your audience has an opportunity to bond with your brand face-to-face, it amplifies the trust-building process. Establish Authority Demonstrating expertise in your industry is critical if you hope to gain an edge over the competition. But how exactly do you establish yourself as an ultimate authority—especially when you're a newer brand? That's where video platforms can help. They help skyrocket your authority by featuring testimonials from satisfied customers or expert interviews, allowing you to build authority with seamless efficiency. Communicate Your Value Finally, you have to instill the value of what you offer into the minds of your audience—fast. Some studies suggest you have about eight seconds to communicate your message before your audience disengages. But how in the world can you explain the value of your offering in just eight seconds if your audience has to read? Videos can help communicate your value with lightning efficiency since human brains can process visuals thousands of times faster than words. Good to Remember Your highest-converting video is often not your prettiest one, it’s the one that answers the question the shopper is afraid to ask. 7 Ways Videos Can Drive Your Conversion Rates Through the Roof Now that you know what it takes to drive conversions, let's dive into seven specific ways that videos can help amplify your conversion rates like no other medium. 1. Inspire Viewer Confidence With Video LSKD Activewear x Streetwear allows users to showcase their purchases through UGC videos. Seeing real buyers wear the products is essential for sportswear—viewers now spend triple the amount of time on the website, as they’re able to conveniently swipe through authentic videos of products they love. A study by Social Media Examiner found that nearly 70% of respondents said that watching a video testimonial was helpful when making a purchasing decision. That's because user-generated content makes a huge impression on viewers by showcasing what your products look like in the real world, ultimately boosting trust and authority. 2. Connect Through Your Brand Story Your brand story is the unique way that you connect with your target audience. It sets you apart from the competition and helps customers understand why they should choose you over someone else. And video is the perfect platform to tell your story authentically in a quick, memorable, and engaging way. 3. Turn Views Into Purchases: Shop While You Watch One of the best things about video is that it allows viewers to shop while they watch, which makes for a hassle-free, user-centered shopping experience. People can add products to carts and even complete the check-out process without leaving your videos. It's like Tiktok or Instagram Shopping—directly on your website. 4. Learn What Your Audience Wants with Polls and Questions One of the keys to success is making sure that you're constantly asking questions and getting feedback from your target audience. Only then will you be able to see what's working, what's not, and how you can improve your videos. When people know that you're taking the time to interact with them and get their feedback, they'll be more likely to see your videos as valuable, and that's when you start seeing those conversion rates jump. 5. Clarify Product Benefits in Real Time DEUX allows dessert lovers to satisfy their sweet tooth without throwing off their diet goals. But their products require a bit of background knowledge for buyers to get the most out of their purchase. Rather than force buyers to read through paragraphs of user instructions, a fun video communicates everything buyers need to know while staying true to the DEUX brand voic e. Q&A; sessions are a great way to increase conversion rates by providing viewers with an opportunity to get their questions answered in real time. This is especially useful for products that are complex or have a lot of features. By seeing the product in action and asking questions, viewers will be much more likely to convert. 6. Optimize Your Sales Strategy With Real-Time Data Video platforms come with a wealth of analytical data that can be extremely helpful in fine-tuning your sales strategy. By understanding how people interact with your videos, you'll be able to see what's working and what's not. Then you can adjust your strategy accordingly to improve engagement and, ultimately, conversion rates. 7. Integrate Video Across Your Entire Stack Interactive videos can be integrated with your entire stack, from your website or Shopify store to your email campaigns. This allows you to simplify your workflow and grow your efficiency. When everything is working together seamlessly, you'll be able to increase conversion rates with engaging, interactive videos in no time. Pro Tip: Turn Every Video Into a “Choose What Matters” Conversion Flow Most brands add video for vibes. Smart brands turn video into a dynamic decision engine that adapts to each shopper in real time. Map Videos to Purchase Moments: Tag each clip (UGC try-on, value explainer, demo, testimonial) based on the shopper need it addresses. Pair High-Intent Clips With PDP Actions: When someone replays or pauses on a detail, trigger a mini-module showing reviews, sizing help, or a related product. It’s like layering PDP tools directly inside the video. Turn Engagement Drop-Off Into Insights: Set markers where viewers bail. If they leave after your value prop, your script is wrong. If they leave before the shoppable tag, your pacing is off. Iterate weekly. Why Video Is No Longer Optional for Driving Conversions If you're not using video platforms to connect with your audience and market your products, you're missing out on a huge opportunity! Video content: Allows you to use UGC to your advantage—show real buyers using your products, gain more testimonials and social proof, and boost trust between your brand and users. Make a lasting impression by showcasing your brand story to build loyalty with followers. Turn viewers into customers by allowing them to shop as they scroll through product videos. Get real-time feedback from viewers and make adjustments in the moment to increase sales. Host hassle-free Q&A; sessions to make authentic connections with your audience and boost conversions. Integrate with your full stack to simplify your workflow. The Bottom Line By following the tips in this post, you can start using videos to increase your conversion rates and elevate your business to the next level. Looking for a stunning and intuitive platform to help you get started? Tolstoy is the best way to create interactive videos that keep your viewers engaged. Our easy-to-use platform makes it simple for anyone to create beautiful, engaging videos. Viewers will love the interactive experience, and you'll love how easy it is to create them. Start bringing your brand's stories to life like never before. Get Tolstoy for free today . --- # How Shoppable Video Technology Actually Works URL: https://www.gotolstoy.com/blog/how-does-shoppable-video-technology-work Author: Tolstoy Team | Published: 2022-12-25 Summary: Explore how shoppable videos work to boost engagement and sales by making products instantly clickable and easy to buy. Shoppable videos are a useful tool that allows for more meaningful interactions and ensures increased conversions while gathering valuable user data as customers engage with the videos. » New to shoppable videos? Find out what is a shoppable video Understanding Shoppable Video Technology Shoppable videos make use of embedded links for purchasable items within videos. These links will redirect customers to where they can buy the item without needing to leave the video page. Customers are able to view products, make a purchase, and go back to the video without disrupting their shopping experience. Shoppable videos have created a real-world, interactive shopping experience where customers never need to leave the social or video platform, ultimately simplifying the shopping experience. Benefits of Shoppable Videos Simplify the buying process: Shoppable videos shorten your marketing funnel, allowing customers to view, click, and buy in the same place. Increase customer engagement: Videos increase engagement, and are a cornerstone in online marketingith the addition of Shoppable links, this goes a step further. Increase conversion rate: Because the buying process is streamlined, customers need to take fewer steps, which decreases dropouts and increases conversion rates. Improve brand loyalty: When customers can view a product demonstration they have a better idea of what they're purchasing, thus building trust and returning customers. Boost sales: As the buying process is simplified, more customers will make it to the final step without complications, and make a purchase. Encourage engagement, place a product link within the first few shots, and focus on a few products in your shoppable videos to see your sales rise. » Ready to get creative? Make a shoppable video with Tolstoy --- # What Is Shoppable Video? Meaning, Examples & Best Practices URL: https://www.gotolstoy.com/blog/what-is-shoppable-video Author: Samantha Becker | Published: 2022-12-20 Summary: Shoppable video meaning, real examples, and best practices: how interactive, clickable videos turn viewers into buyers and lift ecommerce conversions. Browsing through multiple static images to understand a product is a high-friction experience. Today's consumers demand a more vivid, engaging showcase - whether for apparel, gadgets, or vehicles - complete with a direct, clickable path to checkout. A late 2024 Wyzowl survey found that 87% of people are convinced to buy a product or service after watching a video. Brands worldwide are capitalizing on this preference by evolving their video marketing into shoppable video commerce. This format has become crucial for any brand aiming to drive sales and capture attention in today's highly competitive market. These videos capitalize on the growing demand for effortless connection and instant gratification, shrinking the path to purchase from minutes to moments. Let’s explore shoppable videos in detail and show you how to maximize their potential. This article is the canonical definition and best-practices guide. If you already understand the format and want to evaluate the product, see Tolstoy’s shoppable video platform . For a Shopify installation, see the Shopify video app page . For measurement, use the separate shoppable video ROI guide . For a structured comparison of Shopify shoppable video options by job, see Shopify shoppable video compared . What is a Shoppable Video? A shoppable video is an interactive video that includes purchase links so viewers can get a detailed view of the product and buy it directly. Such videos include pop-ups, product tags, or clickable links, which customers can use to shop while they’re viewing the content. These videos can appear on social media platforms such as Instagram and YouTube, as well as on e-commerce platforms. E-commerce businesses can conveniently showcase their products on these popular platforms to reach a wider audience. Shoppable Videos vs Traditional Product Videos Traditional product videos showcase a product’s features, use cases, and benefits, but without embedded purchase links. So, customers can’t directly purchase a product while watching a traditional video. This marked difference between the two formats gives rise to more significant differences: Factor Shoppable Videos Traditional Videos Ease of Conversion Integrate purchase links directly into the video, allowing audiences to buy instantly without leaving the platform. This reduces drop-offs and increases conversion rates. Require viewers to manually visit the website or search for the product, lengthening the buying process and increasing the risk of lost interest. Engagement Allow direct interaction with video content, resulting in higher engagement. Studies show a 66% engagement rate for interactive videos. Offer limited interactivity, often leading to lower viewer retention and a 44% engagement rate. Scalability and Costs Traditionally costlier to produce and implement due to interactive elements, but with dedicated platforms for shoppable videos, the implementation at scale is simple and cost-effective. They are also more effective long-term due to higher, measurable conversions and engagement. Cheaper to produce but requires ongoing investment to maintain visibility and impact. Audience Reach Target a narrower but more engaged audience, combining immediate buying options with creative content. Reach a broader audience but lack tools for deep engagement or conversion tracking. Why Shoppable Videos Matter for E-Commerce Brands: Key Benefits More and more customers are preferring interactive experiences nowadays, which is why shoppable videos are an effective way to turn engagement into sales. Here are some key benefits: Frictionless Purchase Experience: Shoppable videos don’t require buyers to navigate multiple pages to make a purchase. Their shopping journey becomes much more convenient, with direct buying options integrated into rich video content. Higher Engagement and Conversion Rates: The interactive content in shoppable videos makes purchasing easier and more enticing for buyers, enabling them to find and buy products in less time. This reduces the chances of them losing interest and increases conversion rates. Deeper Consumer Insights from Video Interactions : Shoppable videos provide brands with granular analytical data, including hotspot click-throughs, engagement rates, and detailed viewer behavior. This delivers crucial insights into consumer buying patterns, allowing brands to optimize future campaigns and product strategy. Stronger Brand Storytelling and Customer Loyalty: Shoppable videos let consumers enjoy authentic, entertaining video content that drives them to buy the product rather than just passively watching. These videos also take a customer-first approach, helping turn satisfied customers into brand advocates. Typical Shoppable Video Types (with Examples) Most of today’s brands are trying their best to make video advertising more immersive. Shoppable videos bridge that gap between inspiration and purchase. The key formats of these videos that offer unique ways to combine storytelling with convenience and engagement: 1. Pre-Recorded Interactive Videos on Websites & Apps As the name suggests, these videos combine pre-recorded content on one or more products with a range of interactive elements, such as product icons, cart links, or pop-ups that link to the product page. These are embedded on apps and websites, and let customers make purchases at their own convenience, unlike live shopping. One of the best examples of brands showcasing pre-recorded interactive videos is Fenty Beauty, which displays engaging, high-quality testimonial videos of its products on its official website. 2. Social Platform Shoppable Video Source: Tolstoy Social media platforms, such as TikTok, Instagram, and YouTube, often integrate these shoppable videos for a wider audience reach. Such videos incorporate clickable buttons, links, or tags to turn passive scrolling into an active shopping experience. 3. Live-Stream Shopping with Embedded Purchase Links Source: Spree These real-time, interactive videos feature hosts discussing products, with integrated clickable elements and live chat. They often showcase exclusive product launches or limited-time deals, creating a sense of urgency that drives immediate clicks and purchases. 4. User-Generated and Creator-Led Shoppable Content Source: Thrive Causemetics When interactive purchase links are added to authentic video content by non-brand entities or people, viewers get a seamless buying experience. User-generated content features real customers sharing their stories and experiences, helping build trust while driving conversions. 5. AI-Generated Shoppable Content This is a rapidly emerging category where videos are automatically generated, edited, and optimized using Generative AI tools. Instead of relying on traditional production crews, AI uses product feeds, existing images, and short text prompts to craft full, on-brand video narratives. The resulting videos are instantly ready for interactive elements like hotspots and purchase links. This method is highly scalable and cost-efficient, allowing brands to produce thousands of personalized video variations quickly - a feat impossible with traditional video production. How Shoppable Videos Work Once marketers have created the video content after a series of creative processes and editing sessions, they move on to the technical stage that makes videos “shoppable”. Here’s a round-up of how the process works: Metric Definition Calculation Industry Benchmark / Insight Video-to-Purchase Conversion Rate Measures the percentage of viewers who purchase a product after watching a shoppable video. (Number of product purchases ÷ Total video views) × 100 Websites using videos typically see an average 4.8% conversion rate, where websites that don’t incorporate videos see a 2.9% conversion. Hotspot / Product card Click-Through Rate (CTR) Indicates how often viewers click on the product cards within a shoppable video. (Number of product clicks ÷ Total video views) × 100 Video ads have the highest CTR among all digital ad formats at 1.84% . Engagement Rate Measures total interactions (hotspot clicks, add-to-cart clicks, comments, likes, shares) relative to total views. (Total interactions ÷ Total video views) × 100 Interactive videos drive significantly higher engagement than linear ones. Completion Rate Shows the percentage of viewers who watch the video in full or up to a specific point. (Number of full views ÷ Total video views) × 100 Higher completion rates signal stronger viewer interest and content relevance. Average Order Value (AOV) from Video Traffic Average revenue generated per order originating from a shoppable video. Total revenue from video sales ÷ Total number of orders Indicates how effectively videos drive not just conversions but higher-value purchases. Return on Video Ad Spend (ROVAS) Evaluates the profitability of a shoppable video campaign. Video revenue ÷ Video production/ad cost Higher ROVAS shows better efficiency and return on investment from video marketing. Product Tagging and Hotspot Integration The first phase of the integration connects specific products in the video to their corresponding data, transforming the video into an interactive online store. Brands use a suitable commercial platform to upload their product videos and an entire catalog. Each video includes interactive hotspots like clickable areas that act as links. When viewers tap or click on the hotspot, a pop-up window appears to show them the product details. Each hotspot is tied to a specific product, and dynamic information like inventory, price, and reviews also shows up in an overlay within the video. These hotspots can also be used for other options, such as “Shop the Fit,” which lets users browse products that are part of an outfit. Catalog Sync and Checkout Connectivity The video platform is then linked to the online store's back-end systems to ensure a smooth, accurate buying process. Commercial video platforms are connected to e-commerce platforms such as WooCommerce and Shopify via plugins or APIs. The product library on the video platform is synced with the e-commerce catalog of a brand. So, when a product is added, removed, or updated in the catalog, the change is reflected in the video content. The moment a viewer clicks on “Shop now” or “Add to Cart” in a shoppable video, the product is directly added to the shopping cart. On some platforms, a one-click checkout process is allowed, further reducing friction in the buying journey and making it less likely for buyers to abandon their carts. Real-Time Inventory, Pricing, and Cart Linking Every change in a buyer’s activity on the video platform is reflected in the product's cost and availability. The platform draws live data for every product to display its price and stock levels in the video overlay. When a product goes out of stock, the platform greys out or removes the “Add to Cart” option. With a click on a tagged product, it is added to a buyer’s shopping cart linked to the e-commerce platform of the store. The buyer can continue browsing or proceed directly to the checkout stage. Analytics Tracking for Clicks, Views, and Conversions Brands need detailed analytics to understand what works for their business and optimize a future campaign based on such insights. A shoppable video platform can track metrics such as view-through rate (VTR), engagement rate, and view count. This shows how audiences interact with the video through shares, likes, and clicks. The click-through rate (CTR) is the percentage of users who click on a call to action or shoppable hotspot. The higher the CTR, the more effective the video content and product tagging. The return on ad spend (ROAS) and conversion rate are critical metrics because they show how effectively videos drive sales and revenue. To understand how customers interact in the long term, businesses can use more advanced techniques, such as cohort analysis and A/B testing of different video elements. Best Practices for Creating Impactful Shoppable Videos It’s a major challenge to keep customers engaged in today’s marketing landscape, where the average video attention span is just 47 seconds. Here are some best practices you can follow to create highly impactful shoppable videos: Optimize for Mobile Viewers: Data shows that 75% of global video consumption occurs on mobile devices, underscoring the need for businesses to engage customers with mobile-optimized content. Thus, it’s essential to use square or vertical formats to cover the screen, create short, engaging content, and create large, easy-to-tap interactive elements. Use Storytelling with Clear Calls-to-Action: People are easily drawn to stories, which is why storytelling in shoppable videos helps build trust and creates a personal connection with the viewer. For instance, a video that shows how a product solves the viewers’ problems or fits into their lives is more likely to appeal to them. Tag Products Early and Keep Interactions Natural: Tagging products early in a shoppable video ensures viewers don’t have to wait after they decide to make a purchase. This way, brands can capture impulse buys and increase conversions. Offer Seamless Checkout within the Video: A smooth in-video checkout helps convert an engaged audience into buyers by removing friction and delivering a satisfying customer experience. Continuously Test and Refine Based on Data: With real-time data on viewers' behavior and feedback, brands can identify storytelling techniques and content formats that truly work. Also, they can understand product preferences by tracking click-through metrics and then focus on promoting the most popular products. Common Challenges and Pitfalls with Shoppable Videos No matter how engaging a shoppable video might be, even a minor hiccup in the technical setup can ruin the viewer experience. Issues like missed performance tracking and tagging mistakes can cause customers to lose interest and, in turn, hurt conversions. Slow Loading and Performance Issues: A slow-loading video is a critical failure point in e-commerce, hindering the purchasing journey and leading viewers to abandon the content before they even engage. Optimal performance is essential because friction at this stage directly translates into high drop-off rates and lost revenue. Poor Hotspot Placement or Unclear Interactivity: If the interactive hotspots or calls-to-action in the video aren’t clearly visible or are placed at points viewers might miss, they are far less likely to generate clicks and conversions. Viewers should instantly recognize where and when they can interact to buy. Weak Integration Between Video and Catalog: When a product click opens the wrong page or one with missing details, it can frustrate buyers. Poor synchronization between the video and the e-commerce platform can also lead to incorrect stock updates, disappoint customers, and cause a loss in sales. Ignored Video Performance Metrics: Not tracking metrics that truly matter, such as click-through rates, return on ad spend (ROAS), and conversion rates, can create a misleading impression of a shoppable video's performance. For instance, a video might score high in views but not be engaging enough for buyers to keep watching and click the purchase link. Platform Restrictions or Ad Limitations: Every platform reviews video content that brands upload to ensure it’s in line with its policies and may not approve shoppable features for some videos. A common example is Amazon and Instagram, which place limitations on small businesses' use of shoppable videos in remote regions. Measuring Success & Performance Metrics in Shoppable Videos When it comes to marketing through shoppable videos, success is mainly about understanding what drives viewers to engage with the content and buy the products. You must combine tracking the right metrics with understanding behavioral patterns to convert storytelling into real growth. Strategies for Using Shoppable Videos Across Website, Email and Mobile Shoppable Videos on Product Pages (PDP Stories): Add product-specific videos to every PDP to provide social proof, increase confidence, and boost conversion. These videos show the product in action and deliver the exact information customers seek before making a purchase decision. Shoppable Video Carousel on the Homepage: Feature a video carousel on your homepage to help visitors discover new products, increase click-through rates, and strengthen brand connection. Shoppable videos make the homepage more dynamic, engaging, and visually representative of your brand. Shoppable Videos on Landing Pages: Use videos to tell your brand story and engage visitors coming from ads or social channels. Shoppable videos make it easier for users to understand the product and make quick buying decisions. Shoppable Videos on Collection Pages (PLPs): Enhance collection pages with shoppable videos to make browsing more dynamic, highlight special offers, and improve product discovery. Shoppable Video Feed on Mobile Apps: Add a branded, TikTok-style video feed to your mobile app to boost engagement and drive native product discovery in a familiar, scrollable format. Shoppable Videos in Email Flows: Incorporate shoppable videos as GIFs within email flows to capture attention and increase CTR, delivering engaging content without affecting deliverability. How to Create a Shoppable Video with Tolstoy Interactive video ads are no longer a tool for just studios or large teams. With platforms such as Tolstoy, brands of all sizes can turn their videos into experiences that drive customers to act. Tolstoy’s AI Commerce platform offers three core solutions: the AI Player (for shoppable video feeds), the AI Studio (for video creation), and the AI Sales Agent (for personalized sales chat). Turn Any Video Into a Shoppable Experience: Marketers can upload a video directly in the app or import videos from sources like Instagram, TikTok or Google Drive. Tolstoy allows simple ways to match videos to a brand's product catalog to identify and tag the products in the content. It also offers AI Studio, allowing brands to generate on-brand product images and videos directly from their catalog. Embed Product Cards and Real-Time Analytics: The app's admin makes it easy to tag specific products, down to the variant level, in every video. Marketers can choose either visible in-video shopping carts or clickable product cards as the purchase links. Integrate Seamlessly with Shopify, Klaviyo, and Tapcart: The app syncs automatically with these e-commerce platforms, ensuring the brand’s inventory, products, and checkout flow work smoothly alongside the shoppable videos. Track Conversions, Engagement, and ROI in One Dashboard: The Tolstoy app's comprehensive dashboard lets brands monitor viewer retention, click-through rates, and video completion rates. It also tracks revenue to each shoppable video by monitoring its add-to-cart clicks and purchases. Also, detailed data on engagement and revenues lets marketers clearly understand the return on their video content. Conclusion Shoppable videos offer an exciting marketing potential for any brand, but only when they’re done right. With clear goals, smooth integration with e-commerce platforms, and engaging storytelling, they can add scores of active customers in seconds. Brands can easily use them to build trust and deliver an effortless, memorable, and personal experience to customers. Thus, this video format signals a shift toward more humanized forms of digital marketing. Now, the focus is on creating meaningful brand experiences rather than just selling products. --- # 5 Best Instagram Shoppable Video Examples URL: https://www.gotolstoy.com/blog/best-instagram-shoppable-video-examples Author: Tolstoy Team | Published: 2022-12-14 Summary: Discover 5 inspiring Instagram shoppable video examples from top brands like Nike and Sephora. Learn how to boost engagement and drive instant sales. Shoppable videos are the perfect tool to engage today's social media-centric audience . They are much more effective than traditional ads that most online users have become desensitized to because they are in a format akin to user-generated social media content. In a shoppable video, you can advertise a variety of products by showcasing them in an attractive and relatable environment. These videos are shoppable because there are shop or website links strategically placed in the video, making it convenient for the viewer to take action. » Want to learn more? Check out our eCommerce guide to shoppable videos 1. POV Shoppable Video by Target In this POV video, Target shows how some of their kitchen utensil and decoration products can be used to fill up an empty space in a kitchen. This content is easily relatable for those looking to decorate their kitchens because Target not only shows them the products for sale but also how and where they can use them. Different products are combined to give a unique look that customers can copy. Many lifestyle Instagram content creators produce videos like this to give their audience décor ideas and inspiration, so Target's shoppable video fits right in while also guiding the customers to the products they can buy to match the video. 2. Sephora’s Product Showcase Shoppable Video Sephora's shoppable video is a great example of media that intuitively showcases a product and how it's used, with before and after shots to boot. View this post on Instagram A post shared by Sephora (@sephora) While it's relatively obvious that this video is an ad, Sephora does well to highlight what the product is in the first few shots and then transitions to showing three women applying it. This showcase method is effective because it doesn't just show a picture of the product and how it looks for just one person, but many, while also adding attractive visuals from before to after. » Curious about interactive videos? Here's how to make an interactive video for your online store 3. Nike’s Interview Shoppable Video Nike does a good job of marketing their new Lebron XX "Trinity" shoes to the new generation by introducing a situation where Lebron James gives them to his son and some previous generation Monarchs to an older "Father Time." View this post on Instagram A post shared by Nike (@nike) Nike's shoppable video introduces characters who frame their new shoes as desirable and makes it engaging by prominently featuring celebrities. The first part has Lebron James giving his son the next-generation shoes, who then takes them to go "see what [he] can do in these." Jason Momoa, a famous actor dressed up as "Father Time," walks up and asks Lebron for the new generation of shoes. LeBron just gives him the older shoes and walks away, with Father Time going after him begging for the new generation, suggesting that the new shoes are quite desirable. 4. Collage Shoppable Video by The North Face The North Face created a shoppable video with a special sticker video design that allows them to combine skiing images into an engaging Instagram reel. View this post on Instagram A post shared by The North Face (@thenorthface) The North Face advertises their skiing equipment by showcasing how extreme sports athletes are using them in one of the best skiing locations—the Alps. Pictures are cut out and combined as the video transitions smoothly from shot to shot showing the different types of The North Face equipment the athletes tested out with. This video does great to engage the audience by not just showing the equipment, but also the element they're used in by professional athletes, increasing trust. 5. The Body Shop’s Guide Shoppable Video This The Body Shop reel is a practical example of how the step-by-step instructional video format can be used to showcase products in a way that's both relatable and convincing. The Body Shop's video is advertising their new Edelweiss Liquid Peel facial cleansing product. It's often difficult to advertise such products without just looking like another generic beauty advertisement. To forgo this, they use a relatable actress and also give the customers useful information to show how easy it is to use the product. It is also clearly communicated in the video what the product does (with before and after shots) without overloading viewers with information. Final words As you can see, shoppable videos are one of the best ways to engage a social media audience while providing them with an instant action they can take. Some of the world's top brands are already using these to great effect—are you ready to create shoppable videos yourself? » Feeling inspired? Create shoppable videos with Tolstoy --- # 6 Best Interactive Marketing Tools & Content Platforms URL: https://www.gotolstoy.com/blog/best-interactive-marketing-tools-to-boost-customer-engagement Author: Tolstoy Team | Published: 2022-12-14 Summary: Compare the 6 best interactive marketing tools and interactive content platforms for 2026, and pick the software that turns engagement into real sales. Key Takeaways Interactive marketing builds two-way conversations: Instead of talking at shoppers, tools like quizzes, polls, and videos let customers interact directly with your brand, creating a more personalized and memorable experience. Interactive videos grab attention fast: With Tolstoy AI Commerce platform, shoppers can explore content that responds to their needs, keeping them engaged and moving toward a purchase without wasting time on irrelevant information. Quizzes and surveys turn engagement into leads: Tools such as Outgrow and Typeform let you build fun, branded forms that collect insights while qualifying potential buyers. Video-driven commerce boosts trust and conversion: Solutions like Videoly and Whisbi integrate product videos, live shopping, and personalized recommendations to educate customers and drive more confident buying decisions. With more consumers opting to buy online over physical stores, the e-commerce scene is becoming more lucrative by the day. However, with great opportunity comes great competition, and thousands of online stores around the world are fighting for customers' attention. The latest technology helping online businesses stand out is interactive marketing. These marketing tools initiate two-way conversations with customers when they visit a website, giving them a personalized experience that engages deeper than ever before. Online stores discover their customers' preferences as they interact with these tools so that they can produce even better-targeted content for future campaigns. » The best tools require the best strategies: Discover the most effective interactive marketing strategies . 1. Tolstoy As customers' shorter attention spans demand more immersive engagement, interactive video stands out as the best tool to capture an audience as it stimulates their audio and visual senses. Tolstoy uses interactive video technology that leads customers on a personalized, face-to-face narrative as they follow on-screen prompts. This way, customers don't feel like they're wasting time watching an entire video when they only need one snippet of information tailored to their personal choices. Creating an interactive video with Tolstoy is straightforward: just record a few short videos and tie them together with Tolstoy's simple interactive video builder. Tolstoy then collects responses to the video, giving over control of the conversation to real agents. You get access to a full and powerful analytics dashboard that provides in-depth metrics. Tolstoys can be embedded in a website, a video chatbot, emails, and social media, engaging customers wherever they are. » Ready to get started? Learn more about our interactive video and shoppable video services. 2. Ceros Ceros is a suite of creative tools for creating interactive content with measurable results. Content creation will become a breeze as Ceros integrates with a business' creative process. With its Studio, MarkUp, Editor, and ChartBlocks apps, both experienced designers and those new to the game can design, publish, and receive feedback without needing any coding knowledge. All their products integrate well to help you supercharge the creation process. 3. Outgrow Outgrow is an interactive content marketing platform with a focus on driving leads and conversions. With Outgrow, you can design personalized quizzes, surveys, polls, and chatbots that engage customers to discover their needs and determine whether they're qualified leads. Outgrow has an entire premade template library to provide inspiration and automate engagement. 4. Typeform Typeform is an online form and survey-building software that aims to save your customers from mundane experiences. Surveys often feel tedious. Typeform seeks to fix this with forms that are designed to impress. Form builders are given creative freedom to design beautiful, brand-friendly, and interactive interfaces backed by solid conditional logic to improve flow. 5. Videoly Videoly is a video content provider that finds the best product videos and connects them to online retailers' product pages. Brands can use Videoly to streamline their video content distribution as it automatically connects videos to retailers' product pages. Everything from marketing videos, reviews, and user-generated content is brought together in one place and used to drive customer engagement. Videos provide an information-rich experience and give customers the confidence to purchase. 6. Whisbi Whisbi is a live commerce platform providing a plethora of different digital marketing tools to help businesses boost lead volumes and quality. Tools like Whisbi Engage increase conversion rates by providing customers with a more personalized and engaging shopping experience. Whisbi Boost Visitor Intelligence identifies ready-to-buy visitors so that sales agents can focus on high-quality leads. Overall, Whisbi leverages various online technologies to engage and convert potential customers. Pro Tip: Layer Interactive Tools to Create “Clickworthy” Commerce Journeys Interactive marketing tools aren’t just nice-to-have, they’re the new baseline for customer engagement. The trick? Stack them strategically to turn browsing into participation. Start With AI Video (Tolstoy): Use interactive, shoppable video to spark engagement at the moment of discovery. Let viewers choose their path and shop without leaving the story. Add Conversational Layers: Pair your Tolstoy flow with Outgrow or Typeform quizzes that personalize recommendations, then sync answers to your CRM for follow-up campaigns. Distribute Smarter: Embed your videos via Tolstoy AI Player on PDPs or PLPs, so your content drives confidence and conversions sitewide. Connect Data Loops: Use tools like Whisbi or Ceros to analyze engagement patterns and feed insights back into your Tolstoy flows for continuous optimization. Online Stores Need to Keep Evolving Whether you're a small startup or a large enterprise, interactive marketing tools are sure to boost brand awareness and user engagement so that you can stay ahead of the competition. Online stores stand to gain much from simple changes like using interactive videos to showcase products. The online world is always evolving, it's crucial that you keep up to date. --- # Interactive Marketing: 5 Strategies With Real Examples URL: https://www.gotolstoy.com/blog/effective-interactive-marketing-strategies-with-examples Author: Tolstoy Team | Published: 2022-12-14 Summary: Five interactive marketing strategies with real examples — quizzes, shoppable video, and more — to boost engagement, brand awareness, and ecommerce sales. Static marketing is a thing of the past. Customers want to be able to connect and engage with a brand. This means that the traditional one-way marketing strategies of the past don't perform as well as they used to. By using an interactive marketing strategy, you create a personalized one-on-one interaction with each client, allowing them to make decisions and engage with your brand. This promotes conversions, increases brand awareness, and ultimately provides a better opportunity to boost sales. 1. Product Demonstrations Interactive product demonstrations allow potential customers to experience a product and all its features through a self-guided, clickable process. By providing each customer with the opportunity of a personalized demo, they're able to view the product in a way that interests them, thus avoiding unnecessary information and potentially boring your customer. A product demonstration can be as complicated as allowing a customer to explore the intricacies of an engine, or as simple as displaying different clothing items on different models with different body types. » Struggling to promote your products? Increase product and customer engagement with Tolstoy. 2. Virtual Reality Virtual reality (VR) marketing incorporates the full immersion of a customer into a virtual world. This can connect a customer with your brand or product by engaging a variety of their senses, thus encouraging more interaction. VR lets you tell your story in a personal manner, create and imbed memorable experiences, as well as bring an entertainment factor to your advertising. An example of how VR could be used as a marketing tool is by walking a visitor through a realistic replication of a studio where they can walk through rooms and view different pieces of art. This is instantly more entertaining than a customer scrolling down a static catalog and will encourage your visitors to spend more time viewing your products, interact with your brand, and ultimately increase the chance of sales. 3. Competitions Competitions and quizzes are prize-driven strategies that encourage people to participate and engage with a brand in the hopes of a reward. Contests can help a business obtain multiple goals such as increasing brand awareness, encouraging customer loyalty, and increasing sales. For example, competitions that encourage you to "share" something to enter are likely aiming to increase brand awareness, while competitions that provide prizes for the most loyal customers or for the highest purchase numbers are often trying to directly boost sales. 4. Games Games are an ideal way to not only gain a person's attention but to hold it. Thanks to their interactive nature and the constant dopamine hits from completing small tasks, implementing games into your marketing strategy can significantly boost sales, increase awareness, and obtain customer information with little effort. Not only are people more than willing to share their details when it comes to playing games, but they will also share achievements around social platforms which can further boost awareness. Moreover, games can be used to teach customers about a new product while keeping them engaged and constantly wanting more. A simple game such as spinning a wheel to win a prize can keep a customer coming back day after day until they win. 5. Interactive videos Whether you're aiming to educate an audience about a product, showcase a catalog, recruit new staff, or simply send a user on a personalized journey, interactive videos are a unique marketing strategy. Interactive videos allow you to send users on a unique journey where there's more of a person-to-person conversation or personal experience, as opposed to the linear, monologue that traditional videos create. By allowing viewers to ask the questions they want, or to see and interact with the products they're interested in only will save you scaling costs and time and provide you with more targeted leads. For example, when using interactive videos for generating leads, you will be able to ask potential customers for their personal details, as well as many specifics you may need before you make personal contact. This will sift out the less serious clients, save time on repetitive questioning, and obtain essential information, all while ensuring your customer maintains a feel of personal touch and control. » How do interactive videos work? Follow Tolstoy's simple steps to create interactive videos Conclusion Humans have a short attention span (that's increasingly becoming shorter), therefore, the need for interactive marketing strategies has become more important than ever. Without an engaged audience, your business and your brand cannot grow. --- # Shopify Video Advertising: 5 Ways to Boost Engagement URL: https://www.gotolstoy.com/blog/increase-shopify-engagement-with-video-advertising Author: Tolstoy Team | Published: 2022-12-14 Summary: Supercharge your Shopify store with video marketing. Explore 5 ways to engage customers and increase conversions fast. According to a recent study, about 87% of marketers say videos have helped them increase traffic, while approximately 94% of marketers stated that videos have helped them improve their users' understanding of a product or service. As an eCommerce shop owner, these statistics should open your eyes to the unbelievable benefits of video marketing, especially because people are now more likely to research products and services first before making a purchase. So, here are five smart techniques to increase your user engagement using video marketing. » New to video advertising? Discover interactive videos for online stores 1. Improve Engagement With Storytelling Everyone enjoys a good story, especially if it is relatable in some way or another. It is one of the best methods for you to connect with your target market and engage them emotionally. This Allstate insurance video advert is a really good example of connecting with the target market through storytelling. Allstate's core message is that if you want to avoid mayhem, sign up for insurance that will offer you a soft landing when chaos ensues. Most people can relate to the string of events that the family in the video experience, caused by an annoying pet. Besides using clever humor to entertain, they also present a solution to these common scenarios. 2. Create Testimonial Videos Testimonial videos really work well because the 'social proof' will add a certain level of authenticity to your brand. In this marketing video, Drop Box for Business interviews a variety of different people in different positions. Each person gives their reasons for appreciating the product, and their reasons are all relatable and believable. Not only is it marketing the product, but it is also building awareness around the different features of the product. 3. Use Educational Videos That Increase Engagement Educational videos are especially useful in user engagement where you have a complex or complicated product or service. These types of videos will help your customers to learn more about and conceptualize your products or services. If your users have a good understanding of what you are selling, it will prompt them to make a purchase. The following Uber Eats video makes it so easy for customers to understand the features of their product. It shows them how to use the app in a simple yet engaging manner. 4. Make Video Guides There are many advantages to developing and creating video guides for your eCommerce store. Most importantly, these guides increase customer engagement because they show your customers that you are not just interested in making a sale—the guides are there to help them get the most out of your products or services. If you develop them professionally, they will do much more than just push for a sale. This guide is an excellent example of a video guide because it takes the customer through the step-by-step process of bullet journaling. It gives an overview of what the challenges are and how this product provides various solutions to those challenges. 5. Shoppable Videos on Shopify An engaging shoppable video will help your brand connect customers directly to the products you are marketing. It will also help you attract more customers and bring in more leads. For the implementation path, here is how to create shoppable AI videos for Shopify once you are ready to move from engagement strategy to a live storefront experience. The most important benefit of shoppable videos is the ease of use for your customers. They can watch a video and shop all in one easy step. It goes without saying that the easier you make it for your customers to buy your products, the more conversions you will see. Here is an example of a shoppable video by Tolstoy. It shows different customers and the manner in which they apply Berlin Skin cream - with easy access to the "Shop Now" click-through. » Want to create engaging shoppable videos? Get Tolstoy and get creative In a nutshell Developing engaging marketing and advertising videos is, without a doubt, the way of the future for eCommerce store owners. If you haven't already started using videos, now is definitely the time to get going—just take a look at some of the benefits of video advertising: Grow your brand presence and increase customer loyalty Nurture relationships with your customer base Increase your click-through rates Lower your bounce rates Simplify the buying process and the customer's journey As you measure customer engagement with every video you publish, you will also get to know what your customers like and what they don't like. This will help you develop more of what your customers want to see. Now, do you still need convincing? » Learn how to make an interactive video for your online store --- # 6 Tips to Create Powerful Interactive Email Campaigns URL: https://www.gotolstoy.com/blog/tips-to-create-interactive-email-campaigns-by-marketing-experts Author: Tolstoy Team | Published: 2022-12-14 Summary: Boost engagement and conversions with interactive email campaigns! Discover 6 expert tips to create dynamic, personalized, and high-performing marketing emails. With 4 billion daily email users, businesses try to capitalize on email marketing campaigns as much as possible. While this does mean there are many businesses vying for customers' attention, including interactivity in your email campaigns can help you stand out from your competition. If you craft them with style and a creative flair, you can expect to see increased levels of user engagement, higher conversion rates, and increased social sharing. You'll also get more feedback, reviews, and ratings. Simply add interactivity and watch as your email campaign soars above and beyond your expectations. 1. Partner With the Right Email Service Provider That's right, you will need to partner with an email service provider to get your interactive emails off the ground. With so many providers to choose from, it can become overwhelming. Consider these factors when you search for the perfect partner: Functions : Can the service provider do everything you need? User-friendly : Is the platform easy to navigate and use? Scalability : Can the service provider grow with your business? Cost : Do the available packages fit your budget? Will you be sacrificing necessary features by going for a cheaper option? Customer support : Does the service provider offer efficient customer support? It's a good idea to test features or ask for a demo wherever possible to allow you to get a better sense of the service provider and what they offer. 2. Use the Right Type of Interactivity in Your Email In email marketing, content is definitely king. Take your time to establish the goal of your email campaign, then align your chosen interactivity with your goal and the behavior of your target audience . Just remember—never overload your readers with too much content. They won't read it and your efforts will go to waste. Let's look at some examples: Polls, quizzes, and surveys : Get to know your readers better through their feedback and insights. Countdown timers : Build excitement and anticipation about a product launch. Showcase new products (GIFs or videos) : Launch a new product by showcasing its features and uses, or use product videos in Klaviyo flows when Shopify lifecycle emails need more product proof. Reward new customers : Turn a potential customer into a loyal lifelong customer by encouraging them to play a quick game to redeem a discount code. RSVP for events : Provide customers with convenience by letting them RSVP directly from an invite in the email. 3. Link to Social Media Sharing is caring, right? That's why you should always allow your readers to share your email content on their social media platforms. But it doesn't end there. Encourage them to view your social media channels, and, if you really want to keep them coming back, alert them to new content you're uploading. Here's another pro tip: make some of your content exclusive to social media , for example, competitions and exclusive videos. This builds FOMO (fear of missing out) and therefore drives more viewers from your email to your social media platforms. 4. Tell Your Story Your brand has its own personality and its own story—from inception to where it is today. Your interactive email campaigns should not focus on attracting new customers only. You should also use it to retain your current customers by building your brand and its presence every time you send another interactive email. 5. In-Email Shopping User experience is everything . If you can get your users to shop straight off your interactive email, you're giving them less work and making it easier for them to buy your products. And they will love you for it! Especially if you have a special deal that's hard to ignore. A good example is to launch a new product at a special price for a limited time to build excitement. What's more, a seamless and pleasant purchasing process will stay in the back of their minds. They'll trust your brand more the next time they receive an email from you. 6. Make It Personal Address your user by their first name, create copy that makes them feel like you're talking to them, and make sure all the interactive elements you use come across as personal. Research has proven time and again that personalization works, so why not combine personalization and interactivity for a double helping of success? You can also make the emails real-time to amplify the personal experience . Include time-based events to make your campaign feel fresh and ripe for the picking! A Final Thought... Data published by Statista indicated that over 300 billion emails were received and sent daily in 2020, and is forecasted to increase to 376 billion by 2025. To drive the point home even further, studies done by MartechAdvisor concluded that interactive email newsletters experience 73% higher open rates compared to conventional email marketing. How much more proof do you need to come to terms with the fact that interactive marketing is the way to go if you want to optimize sales and boost your bottom line? » Where to get started? Let Tolstoy help you create interactive content --- # 5 Common Video Prospecting Mistakes to Avoid URL: https://www.gotolstoy.com/blog/video-prospecting-checklist-beginner-mistakes-to-avoid Author: Tolstoy Team | Published: 2022-12-14 Summary: New to video prospecting? Learn the top 5 beginner mistakes to avoid so you can create engaging videos that actually convert. Any successful company knows they need to be constantly searching for new sales opportunities to stay one step ahead of the competition. However, finding new prospects for your organization can often be easier said than done. Today’s consumers are overwhelmed by huge amounts of information in a growing digital landscape, so keeping them engaged takes significant work. Video prospecting can be a valuable tool for many brands struggling to build their lead pipeline. It’s a powerful way to capture the attention of prospective leads and connect with them on an emotional level. Videos thar are engaging, dynamic, and interactive can be even more effective than traditional sales methods such as email and social media. The challenge is knowing which mistakes to avoid in your prospecting journey. Here are some of the errors you may need to be aware of. » Can interactive videos be used for other sales strategies? Discover the versatility of interactive videos in marketing and sales 1. Long Accompanying Text Whether you’re sending videos via email or social media, it’s important to remember your aim is to capture the attention of your customers as quickly as possible with concise, straightforward information. Huge amounts of accompanying text can often overwhelm viewers and convince them not to click on your video in the first place. There’s also a risk the text you include alongside your video could simply repeat everything you’ve been saying in the video message itself. Text included with videos should add context to the video and get straight to the point. You could even consider using bullet points. 2. Rambling Statements While videos can be a powerful tool for both sales and marketing, they work best when they get straight to the point, highlighting the value you can offer your customer. Because of this, it’s important to make sure you don’t talk aimlessly in your content. Get straight to the point from the moment your customer clicks the “play” button by telling them what you’re going to do for them and the benefits they can expect. It might be helpful to prepare a script before you start recording your video, to ensure you don’t go off track. 3. Poor Production Quality Your video is one of the first opportunities you’ll have to make a resounding and lasting impression on your target audience. It’s important to ensure you’re sending the right message about yourself and your business with a video that looks and sounds professional. Ensure you have the right environment set up for your video, with plenty of natural light and a clean background. Check your microphone and video connection before you start recording and ensure everything looks and sounds as clear as possible. In some cases, it may be necessary to invest in additional lighting, pop filters, or a higher-quality camera. 4. Sticking to One Form of Media Although simple face-to-face videos can be excellent at engaging your audience, they can quickly become visually boring. To keep your audience engaged, it’s worth experimenting with adding other types of media into the recording. Using a video editing tool, you can embed everything from graphics and charts to animations and pictures into your video. You could also bring more context and depth to an explanation by sharing your screen and walking your customers through a piece of software and how it works. Some salespeople even use virtual whiteboards to help get their point across with color and drawings. 5. Failing to Learn from Your Videos Sending prospecting videos can be a fantastic way to engage your audience, but the only way you’re going to find out which strategies are delivering the right return on investment is with reports and analytics. Using tools to track how much of a video your customer watches, how many people click on your video, and how many responses you get will give you some useful insights. Based on the metrics you collect from your prospecting videos, you’ll be able to plan more effective content campaigns for the future. For instance, you might find shorter videos are more likely to drive conversions than long ones, or that customers are more likely to convert from interactive videos. Master Your Prospecting Videos As one of the most engaging forms of online content, videos have the power to capture your audience’s attention and accelerate conversions. As a prospecting tool, they can also help to strengthen the initial connection to your brand by giving your company a human face and voice. However, like any marketing or sales tool, it’s important to learn how to use your prospecting videos effectively if you want to generate the right responses. » Not sure how to get started? Let Tolstoy guide you through making interactive videos --- # What Is an Interactive Video & Why Stores Need It URL: https://www.gotolstoy.com/blog/what-is-an-interactive-video-should-online-stores-use-it Author: Tolstoy Team | Published: 2022-12-14 Summary: Learn why interactive videos are a must for online stores. Engage customers, gather data, and drive higher conversions. In today’s digital world, customers are spending more time researching and shopping online than ever before. In fact, around 75% of all adult consumers shop online at least once a month. Unfortunately for e-commerce store owners, connecting with this growing community is far from easy. In a world where virtually anyone can set up an online store with minimal initial investment and time, there are countless potential options for customers to choose from. Globally, some estimates suggest there are around 24 million online stores available today. In a space this cluttered, it takes something special to stand out, and connect with your audience. That’s where interactive video comes in. What Is an Interactive Video? Interactive content facilitates greater consumer engagement, and videos are one of the best interactive marketing strategies online stores can use. An interactive video is essentially a form of visual online content that builds on the video marketing trend. With interactive videos, consumers have the opportunity to engage with the content, by clicking on links, answering questions, and responding to polls. Around 17% of video marketers say this is one of the key video trends they plan on using today. Interactive videos are an alternative to traditional “linear” videos where customers simply press play to start the content and watch to uncover information. In an interactive video, customers can scroll, hover, gesture, drag, click, and complete other actions to influence the content. Common forms of interactive video include: 360-degree content Branched videos where users can choose their content path Videos with form fields and clickable links Quiz-based videos Shoppable feeds » Want to learn more about interactive videos? Let us show you . The Benefits of Interactive Videos for Online Stores Simply put, interactive videos give companies another way to engage with their target audience, evoke emotional responses, and differentiate their brands. According to one study, around 90% of the marketers who implemented an interactive video in their campaigns saw an increase in sales. Aside from this, there are many other benefits of using interactive videos: Keep Up With Content Trends Implementing interactive video into your marketing strategies shows you’re up to date with the latest trends and consumer interests. Interactive videos already account for about 36% of all videos produced. An interactive video can also differentiate your business from other outdated content. Personalization An interactive video allows you to deliver more personal, human content to your target audience. Videos allow your viewers to associate a face and voice with a company and a brand, while interactive videos ensure they can collect only the information they want at their own pace, creating a more personal and exciting journey. Trackable Insights Interactive videos give you another way to collect information about your audience by tracking what kind of components they interact with most. Just because a customer views your video doesn’t mean they’re more likely to buy something from your brand. However, if they click on specific links and answer questions, you know they’re likely to turn into a warm lead for your business. Increased Engagement Creating a game-like experience with your marketing efforts can increase user activity by around 591%, improving your chances of customer interest. Customers are also more likely to remember videos they interact with than straightforward video content. In fact, interactive videos are 32% more memorable . » Looking for more than just videos? Discover the best interactive marketing tools all stores need. How to Use Interactive Videos One of the biggest benefits of interactive videos is that they’re extremely versatile. Companies can create videos for a range of use cases, and to achieve different goals. For instance, you might decide to use an interactive video to recreate a physical store with 360-degree content and clickable hotspots. This allows customers to experience the sensation of “walking around” your store and exploring the items they’re most interested in. You can add items directly from your product catalog to your videos, and links to their pages on your website to accelerate sales opportunities. Other options could include: Providing guidance Interactive videos can be an excellent alternative to the old-fashioned user manual. They can guide your customers through how to use certain products and allow them to decide which features or capabilities they want to learn more about. Shoppable feeds Interactive videos can be used to create shoppable feeds on your website or social media platform to streamline your sales funnel and boost your conversion rate. Gamifying the shopping experience An interactive video can help guide customers to the perfect product in your catalog by asking them questions about their interests or preferences, boosting the chances of a sale. » Ready to get started? Learn how to create an interactive video for free . Embrace Interactive Video Interactive videos are an excellent way for e-commerce companies and online stores to enhance the experience they offer their consumers. More than just your standard linear video, these pieces of content inspire and engage your target audience, boosting your chances of sales, brand loyalty, and growth. --- # Add YouTube Videos to Shopify in 5 Easy Steps URL: https://www.gotolstoy.com/blog/steps-to-add-youtube-videos-to-shopify-screenshots Author: Tolstoy Team | Published: 2022-11-25 Summary: Add YouTube videos to your Shopify pages in minutes. Follow our step-by-step guide with screenshots to increase engagement and sales. Videos provide a visually stimulating experience for your viewers, increasing engagement and conversions. It is no wonder that over 85% of marketing professionals make use of video marketing, and if you're not adding videos to your online store—you're missing out. » Learn how to increase Shopify engagement with video advertising Embedding YouTube Videos on Shopify Store Page Here's how you can embed a youtube video to your store page. Step 1. Copy YouTube Video URL Your first step is to head to Youtube, find the video you wish to use, and copy its URL. Step 2. Embed Responsively Head to Embed responsively and paste the link you copied into the box of the respective channel (in this case, Youtube), and click Embed . Step 3. Copy the Responsive Embed Code Snippet Select and copy the entire snippet code that appears below. Step 4. Open Shopify Dashboard & Find Your Page Log in to your Shopify and navigate to Online store > Pages and select the page you wish to add the video to. Step 5. Click “Insert Video” & Add Embed Code Finally, from the formatting icon panel, select Insert video . In the popup window, paste your responsive video embed code and select Insert Video . Adding Videos to Shopify Product Gallery To add a video to your product gallery, navigate to Shopify Dashboard > Products , and select the product you wish to edit. Under the media section, select Add from URL and paste the video link. Insert Videos Into Shopify Product Description To insert a video into your product description, simply select Insert video from the product description pannel, paste your video snippet, and click Insert video . Adding videos to your Shopify products and pages can easily be done in a few simple steps, but the benefits of doing so are seemingly endless, some of which include increased engagement and improved sales. » Looking for a faster way to add videos to your eCommerce? Integrate Tolstoy with your Shopify store --- # How to Add a Chatbot to Wix Website in 6 Simple Steps URL: https://www.gotolstoy.com/blog/add-a-chatbot-to-your-wix-website Author: Tolstoy Team | Published: 2022-10-31 Summary: Learn how to add a chatbot to your Wix website in six easy steps to boost engagement, improve customer support, and create a more interactive experience. There's no arguing that immediate and personalized communication between your brand and customers is essential to an outstanding customer experience. One way in which this can be achieved is by adding a chatbot to your Wix site. A chatbot is a software that simulates basic human conversation by means of text or voice. Chatbots can be used to deal with the simple parts of a conversation that don't require a person. By using a chatbot, you can reduce overhead costs, provide better customer service through immediate responses, and save time by understanding the core of your client's issue. Luckily, a chatbot can be set up on your Wix website with a few simple steps. » Interested in interactive marketing? Discover the best interactive marketing strategies . 1. Log in to Wix Dashboard Before adding a new app, you'll need to log in to your Wix account and navigate to the page you wish to add a chatbot to. 2. Navigate to App Section On your Wix dashboard, locate the left-hand panel and select the " Add apps " section. This will be the fifth button on the list. 3. Search for Chatbot Apps In the " Search Apps " box type in " Chatbots " or the name of a chatbot provider you have already decided to use. 4. Select Your Chosen Chatbot Partner At the current time, there are only 5 available chatbots to choose from for your Wix website. Select the chatbot provider of your choice, either by reviews, features, or prior recommendations. 5. Add the Chatbot to Your Website Once you've decided on a chatbot provider to use, select it, and then select " Add to site ". A premium plan is required to make use of some chatbots. 6. Setup and Configure Chatbot Once you have added your chatbot to your Wix site you will be prompted to create an account and guided through the setup process. This process will be slightly different, depending on the provider you have chosen. 7. Save/ Publish Your Changes Once you're done with the setup, remember to save/publish your changes. Tolstoy's Interactive Chatbot Using a chatbot can give you an edge over your competition, thanks to timely responses and an improved customer experience. Making use of interactive video-orientated chatbots will provide an even deeper personalized experience as the viewer connects with your brand. --- # Interactive Video Marketing: Boost Customer Engagement URL: https://www.gotolstoy.com/blog/how-interactive-video-marketing-enhances-customer-engagement Author: Tolstoy Team | Published: 2022-10-31 Summary: Learn how interactive video marketing boosts customer engagement through personalized, convenient, and memorable experiences that keep audiences connected. With the big steps technology has taken in recent years, your customers' needs have grown as well. These needs are a response to changing behaviors as people adapt to their new technological environment. Companies now need to turn to new marketing strategies using innovative methods like interactive videos to engage customers and prevent competitors from taking their market share. Keep reading to learn exactly why interactive video marketing can enhance customer engagement. » Want more than just interactive videos? Discover the best interactive marketing strategies . Convenient Interaction Interactive videos enhance customer engagement by putting everything right at their fingertips. Gone are the days when a visitor needs to navigate all around a website to find what they were looking for. With interactive videos, your customers have access to all the information they want in one frame—and it doesn't matter whether they're at home or on the go because interactive videos are mobile-friendly. Personalized Communication When a customer watches the video, they are steered to the content they want by prompts on the screen. This means that they can get their questions answered without showing them anything unwanted. Not only does this personalize the customer's experience, but it also provides a rich source of information for the company to gather so that they can continue delivering targeted content. For ecommerce teams, those same videos can also reuse interactive product videos in lifecycle emails so follow-up messages continue the shopper’s product journey. » Interactive videos make great chatbots: Learn how to create one in a few simple steps . Memorable Experience Videos engage both visual and audio senses, targeting a wider range of memory functions than a wall of text does. This makes interactive videos much more memorable and easier to digest, leaving customers satisfied and more likely to engage further. Your brand can build awareness much quicker through such personalized, rich engagement. Conclusion If you're wondering where you can start with interactive video technology, look no further than Tolstoy . We at Tolstoy are experts at helping you create videos that inform and engage. » Ready to get started? Learn how to create an interactive video for free . --- # The Benefits of Video Chatbots for Your Business URL: https://www.gotolstoy.com/blog/the-benefits-of-video-chatbots-for-your-business Author: Tolstoy Team | Published: 2022-10-18 Summary: Transform customer interactions with video chatbots that combine human connection, instant service, and interactive engagement. Text chatbots are all the rage for websites looking to offer instant service and human connection to their customers. However, text chatbots are falling short because they are just that—text. Thankfully, there's a better option. Video chatbots are virtual guides that help your customers find what they need by following a real human's video prompts. The customer feels a stronger connection with the company because they are seeing a real person speak to them and guide them through a personalized experience. Benefits of Video Chatbots Add a Face to a Name Just having a company name and logo isn't enough to build a brand identity. Online multimedia is needed to enrich the customers' interaction with the company. Video chatbots add a face to the name, showing customers they are dealing with real people who are there to help. Jack of All Trades Video chatbots can do more than just chat: they can give demonstrations, explain products and services, and guide users to a specific part of the website. That's why video chatbots are great multitaskers, giving customer's one place where they can find everything they need. Give the People What They Want Customer service is often limited by the human factor. Limited staff, restrictive time zones, and communication infrastructure costs often get in the way. Now that people are choosing online interactions over phone calls or emails, video chatbots can instantly connect companies to customers using real humans. Conclusion What's not to love about video chatbots? Inject some life into your website, drive better engagement, bring in more sales, and lift the load off of your support staff with this new technology. » Create your own video chatbot: Explore your options on Tolstoy's website