Ayo is the founder of Why Matters, a Shopify agency based in Brighton. With over 20 years of experience in ecommerce, digital marketing, and ROI-driven growth, he has helped hundreds of Shopify brands build, launch, and scale their online stores. Why Matters is a certified Shopify, Klaviyo, and Recharge partner.
Checked 19 September 2026. Returns data is unusually patchy, so this article states what can be sourced openly and leaves the gaps visible rather than filling them.
The best open UK benchmark puts online non food returns at 19.5% in 2025, with clothing nearer 23.6%. Beyond those two figures the public evidence thins out quickly, and most category benchmarks circulating online come from paid databases, overseas research or articles quoting other articles. What is solid is the law, which sets a 14 day cancellation right plus 14 days to return, and the economics, where the refund is the smallest part of what a return costs. The practical work is reducing the returns caused by poor information rather than chasing a national average.
Returns research has an evidence problem. There is plenty of commentary saying returns are expensive and that fashion is the worst offender, and far less openly published UK data you can actually check. This article says what can be sourced, labels what comes from vendors, and leaves the gaps visible. That makes it shorter on statistics than most articles on the subject and considerably more reliable.
We graded the evidence into three groups before writing anything.
The strongest current public source is the Retail Economics and ZigZag UK Returns Benchmark 2025, which combines a nationally representative survey of 2,000 UK consumers with benchmarking of 100 leading UK clothing and footwear retailers (Retail Economics). Carrier and vendor research is useful where official statistics do not exist, and we have used some of it while labelling it as vendor research, because sample composition and commercial interest both matter. What we have excluded is paid or gated datasets where the underlying figure cannot be checked, US research presented as though it applies to the UK, and secondary articles quoting other secondary articles.
Returns are not purely a policy choice. For most goods bought online, by post or by telephone, customers have statutory cancellation rights because the sale is a distance contract. GOV.UK states that customers must normally be offered at least 14 days from receipt to cancel, then a further 14 days to return the item, with the refund due within 14 days of the goods arriving back, and no reason required (GOV.UK).
Two details matter commercially. Where the customer paid for delivery, the standard delivery cost must normally be refunded too, so a return can cost you the outbound economics as well as the sale. And the general right has exceptions, including personalised or custom made products, perishables, newspapers, unwrapped CDs, DVDs and software, and sealed goods that cannot be returned for health or hygiene reasons once opened. Faulty goods are a separate matter with their own rights. A store can be more generous than the law. It cannot remove rights the customer already has.
The best recent public benchmark puts UK online non food returns at 19.5% in 2025, down from approximately 21% in 2024, worth £25.1 billion and £26.7 billion respectively.
Even that needs context. It is a non food retail benchmark rather than an average for every UK ecommerce transaction, and it is certainly not a Shopify average. A merchant selling made to order furniture, coffee subscriptions or car parts has return behaviour nothing like a fashion retailer. So the useful question is not whether you sit above or below 19.5%. It is whether your rate is reasonable for what you sell, and which products, reasons and customers are driving it.
Category data is where most returns articles quietly invent precision. Here is what can responsibly be stated from openly accessible UK sources.
| Category | Open UK evidence | Limitation |
|---|---|---|
| Online non food retail | 19.5%, 2025 forecast | Broad non food benchmark |
| Clothing ecommerce | 23.6%, 2025/26 report | Clothing specific |
| Online apparel | Up to 27%, 2021 research | Older benchmark |
| Store bought apparel | Around 12%, 2021 research | Physical retail, not online |
| Footwear | No robust open UK rate found | Do not substitute overseas figures |
| Beauty | No robust open UK rate found | Hygiene rules affect returnability |
| Electronics | No robust open UK rate found | Faults behave unlike fit returns |
| Homeware | No robust open UK rate found | Size and logistics differ |
Sources: Retail Economics and ZigZag, ZigZag and Retail Economics. Clothing is one of the few categories with a recent, openly published UK specific figure, and saying so is more useful than manufacturing numbers for the rest.
One statistical mistake appears constantly. A British Retail Consortium associate insight, based on Trustly research, reported that clothes and accessories accounted for 50% of refund requests (BRC). That does not mean clothing has a 50% return rate. It means clothing generated half the refund requests in that dataset. The denominator is different, and conflating the two produces figures that sound alarming and mean nothing.
Fashion is the category most likely to make a general benchmark misleading, because buying clothes online moves part of the fitting room into the customer’s home. A shopper cannot be certain about fit, fabric, how a garment sits, whether the colour matches the photography, the length, or how one brand’s sizing compares with another.
That uncertainty produces bracketing, where somebody deliberately orders several sizes or colours intending to keep one. Retail Economics and ZigZag found 27% of shoppers deliberately over ordering, alongside other planned return behaviour including buying clothes for short term use (Retail Economics). It is why a fashion retailer at 20% and a food business at 20% should reach completely different conclusions from the same number.
The refunded selling price is the most visible part of a return and the least useful measure of what it costs, because the refund largely reverses the original sale. The damage is everything already spent and everything now spent recovering value.
Return carriage comes first, and free returns mean you are paying it. Then processing: receiving, inspecting, repacking, relabelling and restocking, all of which is staff time whether or not it appears in a report. Then restocking, which only recovers full value if the item comes back in sellable condition and in season. Then markdown, where an item returns sellable but no longer at full price. Then write off, for anything damaged, used, opened or out of season. Our inventory apps guide covers the systems side of getting stock back into circulation quickly.
A better working formula is the outbound cost, plus return carriage, plus processing time, plus lost margin from markdown or write off, minus the value actually recovered. Run that on your worst performing SKUs and the commercial picture usually changes quickly.
Returns split into two groups, and only one is worth spending money on. Product problems mean the item is faulty, damaged in transit, or genuinely not what was ordered. Information problems mean the product was fine and the customer expected something different: wrong size, colour not as pictured, smaller than imagined, unclear specification, or missing compatibility detail.
The second group is where merchants have most control, and it is mostly a product page problem rather than a returns policy problem, which is the argument our product page guide makes from the conversion side. The same information that prevents a return often prevents an abandoned cart too, as our abandoned cart article shows.
Charging for returns has become common, and the evidence is more mixed than either side claims. Charging can reduce casual and bracketed returns, particularly in fashion. It can also reduce conversion, because a free returns policy removes risk at the point of purchase, and losing the sale costs more than processing the return would have.
Two practical positions. Model both effects on your own numbers before changing anything, since the answer depends on margin, category and how much of your return volume is deliberate. And consider differentiating rather than applying one blanket rule, because a first time customer and a serial returner are not the same commercial proposition. Sustainability claims around returns need the same care as any other, as our eco guide explains.
Ten measures make returns manageable: return rate by volume, return value, net revenue after returns, return rate by SKU, return reason, cost per return, recovery rate, time to restock, exchange rate and return rate by customer. The last one matters more than most merchants expect, because a small group of customers often generates a disproportionate share of the cost. Track them alongside conversion, since a falling return rate with a falling conversion rate is not a win, as our conversion rate guide explains.
Category context matters too. Hygiene rules change what can be returned in beauty (beauty guide), and safety critical items should never be resold once returned (baby and parenting guide). Mobile shoppers also behave differently, which is worth segmenting (mobile commerce statistics).
Returns is the topic where we most often find merchants reacting to a statistic rather than their own data. Somebody reads that fashion returns hit 27%, panics about a 22% rate that is entirely normal for their category, and introduces a paid returns policy that costs more in lost conversion than it saves.
The better sequence is unglamorous. Find out which SKUs generate the returns, read the reasons, separate information problems from product problems, and fix the product pages causing the first group. That work improves conversion at the same time, which is the part a returns policy change never does. Then, if the rate is still uncomfortable, look at policy.
Why Matters is a Shopify Select partner with Verified Skills across development and marketing. Our pricing is published, retainer clients are billed one month in arrears and never tied into long contracts, and every development project carries a 3 month guarantee. See our Shopify packages or email us to talk through your store.
What is the average ecommerce return rate in the UK?
The strongest recent open benchmark puts UK online non food returns at 19.5% in 2025, down from around 21% in 2024, worth £25.1 billion and £26.7 billion respectively. It is a non food retail benchmark rather than an average for every ecommerce transaction.
What is the average fashion return rate in the UK?
ZigZag's 2025/26 report gives an average UK ecommerce clothing return rate of 23.6%. Older Retail Economics research found online apparel returns reaching 27% against roughly 12% in store, which is consistent in direction.
Why are online return rates higher than in store?
Because buying online moves part of the fitting room into the customer's home. Shoppers cannot judge fit, fabric, colour accuracy or how sizing compares between brands, so some order several options intending to keep one.
How long do UK customers have to return an online purchase?
For most goods bought online, customers must normally be offered at least 14 days from receipt to cancel, then a further 14 days to return the item, with the refund due within 14 days of the goods arriving back. No reason is required.
Do UK retailers have to refund delivery costs?
Where the customer paid for delivery, the retailer must normally refund the cost of the standard delivery option. If the customer chose a faster service, only the standard equivalent needs refunding.
What is the biggest cause of ecommerce returns?
Fit and expectation problems dominate, particularly in clothing, and Retail Economics found 27% of shoppers deliberately over ordering sizes or colours. Most of the rest are information problems rather than product problems.
Should ecommerce businesses charge for returns?
It depends on category and margin. Charging can reduce casual returns and it can also reduce conversion, so model both effects rather than copying a competitor, and consider differentiating by customer behaviour rather than applying one blanket policy.
Is a low return rate always good?
No. An unusually low rate can mean customers are not buying in the first place, that the policy is hard to use, or that returns are being recorded inconsistently. Read it alongside conversion and repeat purchase.
UK returns data is thinner than the volume of articles about it suggests. Two figures hold up well, the 19.5% non food rate and the 23.6% clothing rate, and beyond those most category benchmarks in circulation cannot be checked. That is not a reason to ignore returns. It is a reason to use your own data instead of a national average, work out what each return actually costs you, and spend the effort on the information problems you can fix rather than the behaviour you cannot.