In a store, a customer can try three sizes in five minutes. Online, the same customer orders two sizes, keeps one and sends the other back.
The brand pays for shipping twice and processing once, and the returned piece may not be sellable at full price again.
Returns are a cost every fashion brand accepts. How large that cost becomes depends a lot on how the online store handles size and fit. We build Shopify stores for fashion brands, and the same mistakes show up across very different labels. Most of them can be fixed in the store without new technology.
Why fit drives returns
Online returns are a large share of the problem for every retailer. The National Retail Federation and Happy Returns expected online returns to reach 19.3% of online sales in 2025, according to the NRF 2025 Retail Returns Landscape. The same report notes that many shoppers admit to bracketing, which means buying several sizes and returning the ones that don’t fit.
Bracketing is a rational response to uncertainty. When shoppers can’t tell from the product page whether a size will fit, ordering two is the safest choice for them. The brand absorbs the cost. Reducing that uncertainty is the most direct way a fashion store can reduce returns.
Size guides nobody reads
Almost every fashion store has a size guide. Far fewer have one that customers actually use.
The common problems are easy to spot. The guide sits behind a small link that is hard to tap on a phone. It is one generic chart for the whole store, although trousers, dresses and outerwear fit differently. It lists body measurements but doesn’t explain how to take them. For international brands, it may use units or size systems the shopper doesn’t recognize.
A useful size guide is specific to the product type, written in the shopper’s units and open within one tap from the size selector. If the brand has a fit that runs small or large, the guide should say so plainly.
Fit information on the product page
The best size guide is the one a shopper doesn’t need to open. Fit information belongs on the product page itself, next to the size selector.
That means telling shoppers how the garment is cut, whether it is slim, relaxed or oversized, and what the model is wearing along with the model’s height. It means describing the fabric in terms of how it behaves, such as stretch, drape or weight, rather than only listing the composition. Reviews that mention fit, shown near the size selector, often answer the question faster than any chart.
Photography matters as much as copy. A flat-lay image shows color and print but says nothing about how a garment falls on a body. Images of the piece worn by models of different heights, close-ups of the fabric and a short video of someone moving in it give shoppers the information a fitting room would. Bridal and occasionwear brands depend on this most, because shoppers need to see shape and length before they commit to a piece that carries an emotional decision as well as a financial one.
Fit finder tools and size recommendation apps can help, especially for brands with complex sizing. They work best when the product data behind them is accurate. A recommendation tool cannot fix inconsistent measurements between collections.
Filtering by size and availability
A shopper who wears a particular size wants to see only the pieces available in that size. When collection pages show everything and the shopper discovers on the product page that their size is sold out, the store has wasted their time.
Filters by size, with sold-out sizes hidden or clearly marked, make browsing faster and reduce frustration. On mobile, the filter panel should be easy to open, keep its selections as the shopper moves between pages and show results without a full reload.
ISMYLOVA, a luxury multi-brand boutique in Miami Beach, shows how this can feel on a premium store. The catalog covers dozens of designers but is presented as a boutique, with each designer shown as a card in a gallery. Filtering sits in a drawer with five groups, including size and designer, instead of dozens of options at once, and each designer card also works as a filter.
Stone Rose, a premium men’s clothing brand, took a mobile-first route. Collection filters, product cards and the product page were designed for phones first, with desktop treated as the larger version of the same store.
Star Pro Combat, a boxing and combat sports gear brand, sells in the US, the UK and the EU, so size selection had to work for shoppers in several markets at once. We built sizing, filters and checkout around international buyers, and conversion in the brand’s key markets rose 48%.
The returns flow is part of the store
Many brands treat returns as a back-office process. Shoppers see it differently. A clear, fair returns policy that they can find before buying is part of the reason they buy.
The returns policy should be summarized on the product page, not only in the footer. If exchanges are easier than refunds, say so, because a shopper who knows they can swap sizes is more likely to order one size instead of two. After purchase, the process of starting a return or exchange should be simple and online.
On a recent pre-season audit of a luxury menswear resale store on Shopify, we found the size guide, shipping and returns details collapsed in tabs far from the Add to Bag button. In the new layout we grouped them with the price and the button, where the purchase decision happens.
Who builds stores for fashion brands
SPLIT Development is a Shopify agency for beauty and fashion brands, with offices in Tallinn, Estonia and Sacramento, California. We have worked with Shopify since 2019. Our fashion clients include ISMYLOVA, a luxury boutique in Miami Beach, Stone Rose, a premium menswear brand, and The Bridal Gallery, a bridal retailer. Woodies Clothing, a men’s custom-fit brand we moved from WooCommerce to Shopify, saw conversion rise 29% after the new store launched.
Size and fit are among the first things we look at when a fashion brand asks us to review its store, because they affect both conversion and returns. You can read more about our work as a Shopify agency for fashion brands and the stores we have built for this sector.
Before Black Friday and other sales peaks, we also run a Shopify CRO audit of the homepage, a collection page, a product page and the cart, reviewed on desktop and mobile. The findings come back as annotated layouts and a priority list, split into fixes that can ship before a code freeze and changes to plan for after it.
FAQ
Why do online fashion stores have so many returns?
Online fashion stores have high returns mainly because shoppers can’t try items on. When the product page doesn’t make fit clear, man/y customers order several sizes and send back the ones that don’t fit, a habit known as bracketing.
How can fashion brands reduce returns?
Fashion brands can reduce returns by giving clear fit information next to the size selector, using product-specific size guides, showing fit-related reviews, filtering collections by available size and offering easy exchanges so shoppers order one size instead of two.
What should a good size guide include?
A good size guide is specific to the product type, uses the shopper’s units and size system, explains how to measure and notes whether the item runs small, true to size or large. It should open with one tap from the size selector on mobile.
Do fit finder tools reduce returns?
Fit finder tools can reduce size-related returns when the product measurements behind them are accurate and consistent. They support good product pages and size guides but cannot correct inconsistent sizing data across collections.
Where should the returns policy appear on a fashion website?
The returns policy should be summarized on the product page near the add-to-cart button and linked in full from there. Shoppers who can see return and exchange terms before buying are more confident ordering a single size.
What is bracketing in online fashion?
Bracketing is when a shopper buys the same item in several sizes or colors, planning to keep one and return the rest. It raises shipping and processing costs for the brand and is a direct result of uncertainty about fit.
