How should I handle negative try-on feedback?
Treat negative feedback as a diagnostic, not a crisis. Most fixes start with the uploaded photo: guide the shopper to retry with a clear, full-view image, watch for per-product patterns, and never promise model improvements on a schedule.
Start with the shopper's uploaded photo
Before assuming the AI failed, look at the input. Looksy generates a result from one uploaded photo, and the published guidance is specific: clear photos generate best, and full views beat cropped shots for apparel. A blurry selfie, a tightly cropped frame, or a cluttered background gives the model less to work with, and the output shows it. When a shopper says a result looked wrong, the first diagnostic question is whether a better upload would change it. Reproduce the complaint yourself: run the same product with a good photo and a bad one and compare.
What to tell a disappointed shopper
The response playbook is short because the retry loop is short. A result arrives in about 20 seconds, so asking a shopper to try again is a small request, not a support ticket. Tell them what makes results better: one clear photo, and a full view rather than a cropped one for clothing. Shoppers can retry directly on the product page — no app, no account, no camera permission — so the fix is immediate. Keep the tone matter-of-fact. You are not apologizing for a broken feature; you are showing them how to get a usable answer to their real question.
Spot patterns before they spread
One complaint is noise; five complaints about the same product are a signal. Shoppers can leave feedback on results, so check inside the app how that feedback surfaces for your store and whether you can review it product by product. Cross-reference with Looksy's analytics, which show what shoppers try on, add to cart, and buy: a product that draws complaints and shows try-ons without add-to-carts deserves attention. Then test the product yourself with several photo types — unlimited on the Free plan, a few photo credits on paid plans — and see whether results genuinely disappoint or the complaints were photo-driven.
What you can fix — and what not to promise
Two things are in your control: your product photos and your shopper guidance. Clear, product-focused product images give the model better source material, and a line of copy near the try-on button steering shoppers toward clear, full photos prevents complaints before they happen. What is not in your control is the model itself. Looksy publishes no schedule for model improvements, so never tell a shopper results will be better next month — you cannot keep that promise. If one product produces poor results no matter the photo, ask Looksy support about it, and check in the app whether you can leave try-on off for that product.
Sources: the public Shopify App Store listing for Looksy. Last checked 27 July 2026.
Related questions: Does try-on help with cart abandonment? · How often should I review my try-on settings? · How do I read my try-on funnel?
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