Fashion carries the highest return rate of any ecommerce category. A conversion rate that looks great on a dashboard means little if a meaningful share of those orders come back two weeks later in a different size — so we optimize for orders that stay, not just orders that close.
Large catalogs bury the products that actually sell behind weak filtering and generic collection sorting. If a shopper can’t narrow down to “my size, in stock, in a color I’d wear” within a few taps, they leave before reaching a product page at all.
Most fashion traffic is mobile and browsing-led, often arriving from a social feed rather than a search query. Slow loading imagery and clunky mobile filters lose the sale before the product page even finishes rendering.
Find every leak costing you conversions today.
Turn findings into ranked, testable revenue opportunities.
Prove each change on real customer behaviour.
Keep winners live and compound the gains.
Every fit tool, size guide, or filter change is proven on real customer behavior first.
Sizing guidance, fit feedback, and imagery that answers “will this fit me” before checkout.
Fast-loading, thumb-friendly filtering built for browsing-led, social-driven traffic.
Fewer steps between “I’ll take it” and a completed, keepable order.
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Fashion stores typically convert between 1% and 2.5% — lower than most categories, because browsing behavior is heavier and shoppers often compare across multiple sessions. That makes revenue per visitor, net of returns, a more useful benchmark than raw conversion rate alone.
By improving the accuracy of the buying decision before checkout, not by adding friction to it. Better sizing guidance, real fit feedback from past buyers, and clearer imagery mean fewer people order the wrong size or color in the first place. We optimize for profitable conversions, not just completed ones.
