What Is a Good Return Rate for Ecommerce? (By Category)

A good ecommerce return rate is about 19-20% of orders overall, though apparel commonly runs 20-40% and beauty sits under 12%. Before comparing your number to any of that, check what you're actually measuring. Return rate can be calculated three different ways, by units, by orders, or by revenue, and the same store can post very different numbers depending on which one it reports.

This guide covers all three denominators, the category benchmarks that actually apply once you know which one you're using, and the mechanism by which unreturned-looking ROAS quietly includes orders that later come back.

Three Ways to Calculate Return Rate, and Why They Disagree

Ask two people at the same company for "the return rate" and you'll often get two different numbers, both correct for what they're measuring.

Basis	Formula	What it captures
Unit rate	Units returned / units sold	How often an individual item comes back
Order rate	Orders with at least one return / total orders	How often a purchase decision gets reversed
Revenue rate	Refunded revenue / gross revenue	How much money actually leaves after refunds

These three rarely match. A customer who orders three sizes of the same dress and keeps one returns two units out of three, a 67% unit rate, but the order itself only counts once against the order rate. If that dress is your cheapest item, the revenue rate looks better than either. If it's your most expensive, the revenue rate looks worse. Whichever number a report quotes without naming its basis is not directly comparable to a number from a different report.

For most operating decisions, order-level rate is the most actionable, because it maps to how often a fulfillment and reverse-logistics cost gets triggered. Revenue-level rate is what should actually feed your margin math.

Good Return Rate by Category

Once you're comparing on the same basis, category is the biggest driver. Categories with fit or expectation uncertainty run far higher than categories with a natural hygiene barrier to returning.

Category	Directional return rate	Why
Apparel	20-40%, some segments above 40-50%	Sizing and fit uncertainty
Overall ecommerce	19-20%	Blended across all categories
Footwear	15-25%	Fit uncertainty, lower than apparel overall
Electronics	8-15%	Buyer's remorse, compatibility issues
Beauty & skincare	4-12%	Hygiene barrier discourages returns

Ranges are drawn from Richpanel's and Eightx's 2026 return rate data. An apparel brand at 25% is performing normally for its category. A beauty brand at 25% has a real problem, most likely a product-market mismatch rather than sizing.

How Returns Quietly Wreck Your ROAS

A return doesn't just cost you the refunded revenue. It costs you the ad spend that acquired the sale, the reverse shipping, and the restocking or write-off cost, and none of that shows up in the ROAS number your ad platform reports. Meta and Google log a purchase at checkout and never revisit it. If that order refunds three weeks later, the platform's reported ROAS still includes it as a win.

The gap compounds in high-return categories. A campaign showing 3.5x ROAS on paper can be closer to 2.5x once 25% of the apparel orders it drove come back, because the ad spend was real and permanent while a quarter of the revenue wasn't. Returns cost retailers an additional $10-20 per item just to process, on top of the lost margin, per industry return-cost estimates. None of that is visible in a dashboard that only tracks gross revenue against spend.

The returns-adjusted ROAS calculator backs out expected returns from a campaign's reported ROAS so you're judging spend against revenue that's likely to actually stick.

What to Do With Your Return Rate

Pick one basis, order-level is usually most useful operationally, and track it by category and by product, not as one company-wide figure. A rising return rate on one SKU is a sizing chart or product description problem you can fix directly. The same rise blended across your whole catalog just looks like noise. Feed the revenue-basis number into your margin calculation every month, since that's the number that actually determines whether a "high ROAS" campaign is a high-margin one.

Frequently Asked Questions

What is a good return rate for ecommerce?

Overall ecommerce return rates run about 19 to 20% of orders. But the right benchmark depends on category: apparel commonly runs 20 to 40% due to sizing uncertainty, while beauty and skincare often sit under 12% because of a natural hygiene barrier to returning. Compare your rate within your own category, not against the blended average.

Should return rate be measured by units, orders, or revenue?

All three tell you something different. Unit rate shows how often individual items come back. Order rate shows how often a purchase decision gets reversed, which is most useful for operations. Revenue rate shows how much money actually leaves after refunds, which is what should feed margin calculations. Always state which basis a return rate figure uses before comparing it.

Why is apparel's return rate so much higher than other categories?

Apparel return rates run 20 to 40%, sometimes higher in specific segments, mostly because of sizing and fit uncertainty that doesn't exist for most other product types. A customer ordering multiple sizes of the same item to find the right fit is a normal shopping pattern in apparel, and it drives unit-level return rates well above the ecommerce average.

How do returns affect ROAS?

Ad platforms log a purchase as a win at checkout and never revisit it if the order is later refunded. Reported ROAS therefore includes revenue that doesn't actually stick. In a high-return category like apparel, a campaign showing 3.5x reported ROAS can be closer to 2.5x once expected returns are backed out, because the ad spend stayed the same while a chunk of the revenue didn't.

Is a very low return rate always a good sign?

Not necessarily. Categories with a natural hygiene barrier, like beauty or supplements, tend to show a low return rate regardless of customer satisfaction, since returning an opened product feels different from returning clothing. A low rate is worth celebrating within category context, but watch the trend over time rather than treating a single low number as proof everything is working.

Conclusion

Return rate is only meaningful once you know which of the three bases you're reading, and once you're comparing within your own category. Fix that, and returns stop being a vague operational annoyance and start being a real input to your margin and your true ROAS.

For the full metric definition, see return rate. To see ROAS after backing out expected returns, use the returns-adjusted ROAS calculator. For how return rate fits alongside the other core D2C numbers, see D2C ecommerce benchmarks.