Why your customers return items and what you can do before and after

Why your customers return items — and what you can do before and after

One of the most common return reasons in online fashion has just multiplied by seven. “The product doesn’t match the website description” went from 1.73% to 11.44% in just one year, according to Reveni’s State of Returns:https://returns25.reveni.com/. This isn’t a logistics problem — it’s a content problem. And most brands still don’t realize it.

The return reasons you should be most concerned about

There’s a recurring pattern in ecommerce: brands invest heavily in acquiring customers, reasonably in converting them, and very little in understanding why they leave when something goes wrong. Returns are precisely the moment when something didn’t work.

According to data from Reveni, here are the main reasons fashion customers return items:

1. The clothing doesn’t fit: 31.55%
2. Bought multiple sizes to try at home: 18.05%
3. Disliked the material: 14.92%
4. Product didn’t match the website description: 11.44%
5. Changed their mind: 9.74%

Sizing issues top the list with a consistency that should make brands pause. More than one in three returns happen because the item doesn’t fit. This isn’t bad luck — it’s a signal that the product information you provide before purchase isn’t doing its job.

Then there’s the fourth reason, which concerns us most: the discrepancy between the actual product and what the customer expected from the description. That this reason has multiplied by seven in a single year isn’t a statistical anomaly. It’s a trend — and it points directly to your product pages.

Bracketing: When your home becomes a fitting room

A quietly growing behavior with bigger impact than it seems is called bracketing: customers buy the same item in multiple sizes or colors with the clear intention of keeping one and returning the rest.

For the customer, it’s logical: if they can’t try it on before buying, they grab two sizes and decide at home. For the brand, the impact is different.

First, logistics costs. A bracketing sale almost always generates at least one return. In online fashion, managing a return can cost 20–30% of the product’s price. Multiply that by the volume of bracketing orders, and it starts to affect margins significantly.

Second, inventory. While the customer has two sizes at home, both are blocked and unavailable for other buyers. During a collection launch or a sale, actual stock can be far lower than the system shows — leading to lost sales and poor restocking decisions.

The good news is that much of bracketing can be prevented. When a customer buys three sizes of the same pants, they’re compensating for the lack of information on your product page. A size guide specific to each item, photos showing how the fabric falls on different bodies, and descriptions that clarify shrinkage or cut fit — all reduce the uncertainty that leads to bracketing. Every unanswered question on the product page is a future return.

After the return: Policy matters more than you think

Reducing returns is possible. Eliminating them is not. So the real question is what happens once a customer initiates a return — and whether your response meets expectations.

93% of consumers say an easy return process is key in deciding whether to buy from a brand for the first time. And 91% say they wouldn’t buy again after a poor return experience. This makes returns a retention decision, not just an operations one.

What we often see is that brands apply the same policy to all customers: VIPs who have bought for three years, first-time buyers using a discount code, domestic and international orders, collection and outlet items. It’s understandable — it simplifies operations — but it misses the opportunity to treat each customer according to what they truly represent for the brand.

The solution isn’t to make policies more complicated. It’s to make them smart. Policies should respond differently depending on context, automatically, without the team handling each case manually.

This is exactly what Reveni’s Policy Rules Editor allows: a conditional rules engine where you define what happens and when, and the system applies it automatically. Free exchanges for VIPs? Store credit for discounted orders? Repackaging fees for delicate products? Pause high-value returns for manual review? All configurable in minutes, no coding needed, and it works automatically.

For deeper work — analyzing your actual return data against the rules that make sense operationally — Reveni also organizes workshops to do it collaboratively.

Returns aren’t the end of the sale

Our data leads to a clear conclusion: brands that treat returns as merely an operational problem are losing a business opportunity every time a customer opens a return request.

The most frequent return reasons aren’t inevitable. Many can be solved before they happen — on the product page, in the size guide, or in material descriptions. Those that can’t are solvable afterwards: through speed of response, flexible policies, and the ability to offer an instant exchange rather than a refund that drives the customer to a competitor.

Almost half of customers who get an instant refund repurchase within 24 hours. 88% prefer a size exchange over a refund — if the process is fast. The experience you provide when something goes wrong defines, more than any marketing campaign, whether the customer comes back.

Returns already exist in your ecommerce. The question is whether you’re using them to build loyalty — or just to close a process.