How do virtual try-on analytics work?

The three events Looksy reports

Looksy's built-in analytics follow shoppers through three steps: the try-on itself, the add-to-cart that may follow, and the completed purchase. Because every try-on starts on a product page — the shopper uploads a photo and sees the result in the browser — each event naturally belongs to a specific product. What the App Store listing does not say is how far the dashboard breaks that down, or whether reporting differs by plan. Before you build decisions on the numbers, open the reports and confirm two things: that counts are shown per product rather than only store-wide, and what your plan actually includes.

How analytics connect to your plan's revenue cap

Looksy's plans are partly metered on additional revenue: Free covers up to $100 of it, Starter up to $500, Growth up to $1,000, and Scale is unlimited. Those caps have to be measured somehow, and the App Store listing does not publish the attribution model — which orders count as try-on influenced, over what window after a try-on, or whether the metered figure matches what the analytics dashboard shows. Check the definition inside the app or ask support before you rely on the number, both for judging performance and for predicting when you will outgrow a plan.

Decisions the product-level data supports

The most useful pattern is the gap between steps. Products tried on often but rarely added to the cart may have a fit, price, or photography problem worth investigating. Products that convert well after try-on are candidates for more prominent placement, bundles, or ad spend. Try-on counts also tell you where to point your credit budget: on Starter and Growth, photo credits are limited, so it makes sense to keep try-on live where shoppers actually use it and buy. Review the funnel monthly rather than daily — small stores generate small samples, and day-to-day swings mean little.

What the numbers cannot tell you on their own

Try-on analytics show correlation, not proof. A shopper who tried an item on and bought it might have bought anyway, so treat try-on-attributed revenue as an upper bound rather than a guaranteed lift. Cross-check against your own Shopify reports: comparing conversion and revenue for try-on-enabled products before and after installing gives you an independent read. Looksy publishes no benchmarks, so there is no external number to compare yourself against — your own baseline is the standard. For a full step-by-step measurement method, see our guide on measuring virtual try-on ROI.

Sources: the public Shopify App Store listing for Looksy. Last checked 27 July 2026.

Related questions: Can I see which products get tried on most? · How do I A/B test virtual try-on? · How do I measure virtual try-on ROI?