Pushy

AI Try-On Shoppers Add to Cart at 11%, Nearly Three Times Everyone Else

Shoppers who use AI try-on tools convert far better than those who don’t, according to a new DRESSX report covering 1.2 million shoppers across 216 countries. Marketing Tech News covered the findings on July 3. The gap is wide: an 11% product-view-to-cart rate for try-on users, against 4% for everyone else.

What happened

DRESSX analyzed shopper behavior across luxury fashion storefronts including Victoria Beckham, Loulou de Saison, TTSWTR, and Pascal, comparing customers who used its AI try-on feature with those who didn’t.

Try-on users added products to cart at 11% versus 4%, and bought at 3% versus 2%. In the luxury segment the difference was starker: 2.8% of try-on users purchased, against 0.3% of everyone else. They browsed differently too, viewing seven times more product listings and averaging four visits instead of one. A month later, 44% of them were still coming back. For non-users that figure was 1%.

Engagement climbed with price. Only 4% of shoppers bothered with try-on on items under $50, but 27% used it on items over $1,000. DRESSX calls the findings “directional”, meaning correlation rather than proven cause. Shoppers who take the time to try something on are probably more motivated to begin with.

Why it matters

Fashion ecommerce converts at roughly 1 to 2%. Physical retail converts at 23 to 30%. The difference is confidence: in a store you can try the product, while online you’re guessing from photos of a model. Tools that close that confidence gap show up directly in conversion, and so does every piece of friction between “interested” and “convinced”.

What this means for Shopify merchants

You don’t need DRESSX’s tech budget to act on this. The mechanism behind these numbers is momentum. DRESSX’s engaged shoppers viewed seven times more listings per session, and all of that browsing runs through collection pages.

A sold-out product at the top of a collection is the opposite of try-on. Instead of building confidence, it hands the shopper a no before they’ve seen your best options. If you’re investing in tools that help people fall in love with products, the first products they meet should be ones they can buy. That’s the whole reason Pushy exists: it keeps in-stock items at the top of your collections automatically, so browsing momentum doesn’t die on a dead end.

Try-on users came back at 44% after 30 days, versus 1% of non-users, per DRESSX’s report on 1.2 million shoppers.

The bottom line

Virtual try-on is turning into a measurable revenue lever, and the market around it keeps growing. The rule underneath it is older than the technology, though: shoppers buy when browsing feels effortless and everything they touch is a live option. Remove the friction, whether it’s doubt about fit or a page full of items nobody can have, and the numbers follow.