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Why your return rate is too high (and which returns not to prevent)

Returns are an expectation problem. The page set the expectation, so the page is where the fix is.

By Manpreet Singh·September 23, 2026·9 min read
Why your return rate is too high (and which returns not to prevent)

A return is almost always the gap between what someone expected and what arrived. Which means the return was caused on the product page, weeks before the parcel came back.

The avoidable causes

Scale is not communicated. The single biggest cause in fashion, homeware and anything where size matters. A product photographed against a white background with no reference gives the buyer nothing to judge against.

Fit data is generic. A size chart in centimetres is not fit guidance. What converts and reduces returns is specific: the model is 175cm wearing a medium, this runs small, this is a relaxed cut.

Colour is wrong. Unmanaged colour across a photoshoot means the product looks different on every listing and different again in the parcel.

Material is a mystery. Weight, texture, stretch, finish. Cheap to describe, expensive to omit.

The wrong variant was selected. Frequently a mobile problem: swatches too small or too close together, and a mis-tap becomes a return you pay for twice.

Read return reasons for a month and group them. If most say "not as expected" rather than "faulty" or "changed my mind", the problem is on the page and it is fixable.

Which returns to leave alone

Some return rate is the cost of doing business, and a generous policy is frequently what made the sale possible at all. Trying to drive returns to zero by making the policy hostile trades a visible cost for an invisible one — the orders you never got because the risk looked too high.

In categories where trying is part of buying, the return rate is a feature. What you want to remove is the returns caused by surprise, not the ones caused by choice.

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What actually works

Show scale. In the room, on a person, next to something known.

Be specific about fit. Including when it runs small. Brands fear this and it reduces returns more than any chart.

Use review attributes. Reviews apps that collect fit and true-to-size data let other customers do the work for you, and it is the most trusted form of it.

Fix variant selection on mobile. Bigger tap targets, clear selected state, the choice visible above the fold.

WHERE THE TRAFFIC IS VS WHERE IT CONVERTSTRAFFICMOBILE 72%DESKTOPREVENUEMOBILE 41%DESKTOPTHE GAP IS THE OPPORTUNITYMOST PDPS ARE STILL DESIGNED ON A DESKTOP
Illustrative split. Variant mis-selection is a mobile problem, and mobile is where most of the orders come from.

Talk it through

Send us your top three return reasons.

Those plus a product page URL tell us whether this is a photography problem, a copy problem or a variant selection problem — and which one is worth fixing first.

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About the author

Manpreet Singh

Manpreet Singh is the founder of Proscube, an ecommerce growth studio. He leads the studio's Shopify and Shopify Plus engineering, headless builds, CRO, and its work on AI engine optimization, and writes its guidance on how to grow a DTC brand without wasting money. He works directly with founders — no account-manager layers between you and the people doing the work — and would rather tell a client not to build something than sell them work they don't need.

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