Top product performance
Views, add-to-cart, checkouts, purchases, conversion rate, revenue, and AOV per product — sortable and searchable, with category and variant breakdowns.
Product Analytics
Top products, cart & checkout funnels, bought-together analysis, and AI shopping visibility — all per SKU, all cookieless.
7-day free trial. Cancel anytime.
Product Analytics
Capabilities
Views, add-to-cart, checkouts, purchases, conversion rate, revenue, and AOV per product — sortable and searchable, with category and variant breakdowns.
A built-in view_item → add_to_cart → begin_checkout → purchase funnel per product and globally, with abandonment rates at every step.
Market-basket analysis mines your items[] data for co-purchase patterns — see which products are bought together and bundle opportunities.
See which of your products AI assistants recommend — LLM-referred visits, revenue, and orders per product, with crawl-to-citation lag.
Drill into any product to see its own funnel, conversion, revenue, and AOV — not just aggregate numbers.
Powered by the standard e-commerce items[] events — add the tracking snippet and product analytics light up automatically.
Getting Started
Add data-track-ecommerce to the script. Product views, add-to-cart, and purchases carry an items[] array with id, name, price, quantity, category, and variant.
Top products sort by views, conversions, revenue, or AOV. Search and filter to focus on a category or a single SKU.
Spot where products leak between view and purchase, see what's commonly bought together, and watch which products AI assistants surface.
Use Cases
Merchants who want per-SKU performance, cart-funnel leaks, and cross-sell bundles without a heavyweight BI stack.
Teams deciding what to feature, discount, or retire based on real conversion and revenue data.
Brands tracking how AI search assistants discover and recommend their product catalog.
FAQ
Explore More
Product funnels, revenue, cross-sell, and AI visibility per SKU — cookieless and ready in minutes.
7-day free trial. Cancel anytime.