Add Tolstoy shoppable video, UGC-style stories, AI-generated product visuals, and virtual try-on to Magento (Adobe Commerce) PDPs and PLPs, with engagement tracking tied to sales outcomes.
• Tolstoy embeds are rendered in Magento storefront blocks or via script injection, with placement scoped to PDP, PLP, and CMS pages.
• Magento product identifiers (SKU, product ID, and URL keys) are mapped to Tolstoy items so a video can resolve the correct product and price context.
• Shoppable video hotspots pass product references back to Magento, routing shoppers to PDPs or adding items through Magento’s cart flow where supported.
• Catalog metadata (title, image URLs, price, and availability) is synced to Tolstoy on a schedule or via delta updates so content stays aligned with the live catalog.
• Locale and store-view values are mapped to Tolstoy experiences to keep language, currency, and URL routing consistent across Magento store views.
• Engagement events (impressions, plays, clicks, add-to-cart intents, and conversions attribution signals) are captured by Tolstoy and forwarded to configured analytics endpoints or pixels.
• Sync jobs validate required fields, log rejected records, and keep processing idempotent to avoid duplicate items during retries.
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We implement Tolstoy placements on PDP and PLP templates, map videos to SKUs, and control where units show based on product or category rules.
At minimum, Tolstoy needs stable product IDs, titles, URLs, images, and availability so shoppable videos and AI visuals attach to the correct items.
Yes, you can assign stories, video widgets, and AI visuals at SKU level, then reuse them across variants, collections, and merchandising blocks.
We align Tolstoy events with your GA4 or Adobe Analytics setup so plays, clicks, add-to-cart actions, and purchases can be analyzed by placement and product.
It depends on implementation, but we focus on lazy loading, script governance, and Core Web Vitals-safe placements based on our 600+ performance optimization projects.