Quick answer: A good Amazon return rate depends entirely on category: roughly 3-6% for consumables, 5-10% for home and kitchen, 8-15% for electronics, and 15-30%+ for apparel.
Somewhere there's a seller convinced their business is falling apart because their return rate hit 8%, and somewhere else there's a seller with a 12% return rate who hasn't thought about it in months because for what they sell, that's just Tuesday. Both reactions could be completely correct. A return rate on its own is not a health metric. It's only meaningful next to a benchmark for the specific kind of product it's attached to.
The number changes depending on what's in the box
Pulled from category-level return data across sellers, the ranges aren't close:
- Consumables (supplements, grocery, pet products): roughly 3 to 6%
- Home & Kitchen, tools: roughly 5 to 10%
- Electronics & accessories: roughly 8 to 15%, usually driven by compatibility confusion rather than actual defects
- Apparel & footwear: 15 to 30%, sometimes higher; sizing and fit make this close to unavoidable no matter how good the listing is
A 6% return rate is a genuine problem in supplements. The same 6% in apparel would be worth celebrating. Sellers who cross categories, which describes a lot of resale and arbitrage catalogs, can't use one number as their bar across the whole account. The bar moves with the product, and pretending otherwise leads to exactly the two failure modes described above: panicking over a rate that's actually fine, or ignoring a rate that's actually a real problem because it happens to sit below some borrowed industry-wide average.
Rate alone hides more than it shows
Even within the right category, the raw percentage leaves out the two things that actually determine whether it's a problem worth acting on.
What it's a percentage of matters enormously. A return rate calculated against total units ever sold, instead of units sold in the same window as the returns, quietly inflates or deflates depending on whether sales are trending up or down. Fifty returns out of a thousand units sold this month reads very differently from fifty returns compared against a lifetime total that includes years of prior sales no longer at any real risk of coming back. Sellers who've been on the platform a long time are especially exposed to this distortion, because their lifetime unit count keeps growing while the denominator that actually matters (recent sales) may have shrunk.
What happens to the units once they're back matters just as much. A return disposition marked SELLABLE means it goes back into inventory and gets sold again; the cost is mostly the shipping and handling round trip. A disposition marked DEFECTIVE or CUSTOMER DAMAGED is closer to a full write-off. Two sellers with an identical 10% return rate can have completely different actual losses depending on that split. One of them is getting most of that inventory back into sellable condition. The other is watching a tenth of their catalog evaporate, and the top-line percentage alone can't tell you which situation you're actually in.
The reason breakdown is where the actual signal is
Amazon's FBA customer returns policy includes a reason code per return: defective, not as described, ordered wrong item, no longer needed, and several others. A spike concentrated in "defective" points at a manufacturing or quality problem, something upstream of the listing itself. A spike in "ordered wrong item" or "no longer needed" usually points at the listing, the photos, the sizing chart, or the copy setting the wrong expectation before the sale ever happens. Same overall rate, completely different fix, and treating both as the same problem wastes time solving the wrong thing.
There's a third pattern worth watching for too: returns concentrated around a specific time window relative to purchase. A return that comes back within a day or two of delivery often points at something wrong with the item itself. A return that comes back close to the outer edge of Amazon's return window more often points at buyer's remorse or a seasonal-use item that served its purpose and is no longer wanted. Neither shows up in the headline rate, and both call for different responses.
What actually needs to be tracked
None of this is visible from the top-line percentage. It only shows up once returns are cross-referenced against actual units sold in the same window, and broken down by disposition and reason, which is a genuinely different question than "what's my return rate," even though both draw on the same underlying data. A dashboard that only shows the rate is answering the easy version of the question. The useful version requires the denominator to be right, the disposition split visible, and the reason codes broken out, all at once, per ASIN, not just once a quarter for the account as a whole.
This is the view EcomSanity's Returns analytics gives you: return rate measured against real units sold, not a raw count, with disposition and reason broken out underneath. For a root-cause walkthrough on a specific high-return ASIN, see Amazon return rate by ASIN.
Frequently asked questions
What is a good return rate for Amazon FBA?
It varies by category: roughly 3-6% for consumables, 5-10% for home and kitchen, 8-15% for electronics, and 15-30% or higher for apparel and footwear.
What return rate should worry me?
A rate is only meaningful next to its category benchmark. A rate that's alarming in supplements can be normal in apparel, so compare against the right category baseline rather than one flat number.
What data matters more than the raw return rate?
The reason code (defective, not as described, wrong item) and the disposition (sellable vs. write-off), since two sellers with the same rate can have very different actual losses.