Can I see which products get tried on most?
Yes, in principle: Looksy’s Analytics show what shoppers try on, add to cart, and buy, which is the data needed to spot your most-tried products. Confirm the exact product-level breakdown — rankings, date filters, exports — in the dashboard itself.
What Looksy’s analytics are built to show
Looksy’s App Store listing describes its Analytics simply: see what shoppers try on, add to cart, and buy. That covers the full funnel from curiosity to purchase, which is exactly what a most-tried-on question needs — you want to know not just which products attract try-ons, but whether that attention turns into carts and orders. The listing does not spell out how the dashboard slices this data, so treat the headline capability as confirmed and the presentation details as something to verify inside the app.
Details to confirm in the dashboard
Before building a workflow around try-on rankings, open the app and check the specifics: whether products are listed individually or grouped, whether you can filter by date range, whether variant-level detail exists, and whether data can be exported. If the dashboard does not answer a question you care about, use the resources linked from the App Store listing — FAQ, Tutorial, and App Documentation — or contact Looksy support, since support is provided by Looksy directly. Asking before you commit beats discovering a gap mid-analysis.
What to do with your most-tried-on list
A most-tried-on ranking is a merchandising signal. Products with heavy try-on activity and strong conversion deserve prominent placement, ad spend, and inventory depth. Products shoppers try often but rarely add to cart are telling you something is off after the try-on — commonly price, sizing confidence, or the product imagery itself. Since Looksy’s Size Help works from your own product size charts, checking that the chart exists and is accurate for those products is a cheap first fix. High-try-on items are also natural anchors for Bundles & Upsells.
Cross-checking against Shopify’s own reports
Try-on counts are most useful next to standard Shopify metrics. A product with many try-ons but few page sessions is converting attention efficiently; a product with heavy traffic and few try-ons may have a placement or photography problem rather than a demand problem. Shopify’s analytics report sessions, add-to-cart, and conversion by product, so once you have confirmed Looksy’s product-level view, lining the two up shows where the try-on step helps most. This is also the comparison to lean on if you later want to estimate what try-on adds per product.
Sources: the public Shopify App Store listing for Looksy. Last checked 27 July 2026.
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