Category we work in
Where sizing doubt and returns anxiety quietly cost more revenue than anything on the pricing page.
8+ years173+ Shopify storesFixed price, no hourly billing
Why this category is different
Apparel has the highest browse-to-cart drop-off of any category we work in, and the reason is almost always the same: the buyer likes the product but can’t predict the outcome. Sizing, fit, fabric behaviour, and the hassle of returning it are all unknowns — and unknowns don’t convert.
Where the money goes
Four patterns that show up in nearly every fashion store we audit.
A generic measurement table isn't guidance. Without fit context, model reference, and per-product nuance, the buyer guesses — and guessing means either abandoning or returning.
If the returns policy is hard to find or vague, the buyer assumes the worst. Clear, prominent returns messaging is a conversion asset, not a legal footnote.
Weak filtering, slow loading, and no sense of progress through a large catalogue. Fashion buyers browse a lot, and most drop-off happens before a product page is ever seen.
Beautiful campaign photography that never shows scale, fabric movement, or how it looks on a body like the buyer's.
How these buyers decide
Which means the work isn’t only on the product page — it starts at the collection.
What we work on
Scoped from your roadmap — what your store actually needs, not a checklist we run on everyone.
Proof in this category
Apparel stores where the work focused on fit confidence, collection experience, and the path from browsing to a committed cart.
Twillory
Part of 173+ Shopify stores built and optimized over 8+ years. Full case studies are on the work page.
Where to start
The teardown shows you the leaks, the roadmap ranks the fixes, and only then does a program make sense.
FAQ
Often, yes — and that’s frequently worth more than the conversion lift itself. Returns in apparel are mostly a fit-expectation problem, so better size guidance and fit evidence tend to move both numbers at once. We’ll look at return reasons alongside conversion data if you have them.
Sometimes, but tools are the expensive answer to a question that better information often solves for free. Per-product size guidance, model reference, and fit-specific reviews resolve most sizing doubt without adding another app to your stack.
It moves the priority earlier in the funnel. With a big catalogue, most revenue is lost on collection pages before anyone reaches a product — so filtering, sorting, and load speed usually get attention before product page work does.
