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Amazon Product Selection and Operations

Amazon's Partial Refund Feature Is Live: Should You Turn It On?

In the FBA settings in Amazon Seller Central, there is a new feature option: Partial refunds. When a buyer starts a return, the buyer can choose not to send the item back and instead take a partial refund at a percentage the seller has set. Since this feature came out, many Amazon sellers have been discussing whether to turn it on. My view: get the rules and the math clear first, then decide whether to turn it on.

Even though partial refunds keep the item in the buyer's hands, the order still counts toward the listing's average return rate, and after accepting a partial refund, the buyer can still return the item again within the return window.

So where is the value to the seller if this feature is turned on? In the past, if a user went through a normal return, the seller's loss was the return shipping, the FBA processing fee, plus the returned item often comes back damaged or missing accessories and gets resold, which leads to new returns and negative reviews. If the buyer goes through a partial refund, the seller gives up only a percentage of the order amount; shipping and processing fees are all saved, and returns and negative review risk caused by reselling defective items are avoided too.

But the precondition for it being a good deal is that the return reason itself is not a problem. So we need to go through the return reason report for our listings in Seller Central. If returns are concentrated on reasons like no longer wanted or ordered by mistake, and the product itself has no defect, then this feature is worth turning on; if returns are concentrated on quality issues and description mismatch, then turning this feature on will hardly have a real effect, because the buyer will most likely still choose to return.

So in the end, we still have to solve the return problem at the root. And to fundamentally lower the return rate, the most fundamental thing is still to solve it at the product and listing level.

First, at the product level, there is no need to belabor this: reliable quality, functions that can meet the user's core needs, and solving the user's pain points are the foundations that need to be done well at the product research and product definition level.

Then at the listing level. Besides resolving users' doubts and solving the conversion problem, our listing actually needs even more to control the user's expectations. We cannot over-promise, causing users to order full of expectation and return full of complaints, giving us negative reviews.

So in the images and copy on the listing, we need to present comprehensively and accurately what the product is, where the difference lies, in what scenarios it is used, and also specification fit and after-sales trust, so that the user figures out on the page whether it suits me, how big the size is, how to use it, and why they should trust it. Only then is it less likely that the item falls short of expectations after arrival.

Conversely, if the page over-promises, returns and negative reviews will easily emerge in a concentrated way.

So if we find that our product's return rate is high and many users give feedback about description problems, size, fit problems and so on, we need to check the images and copy on our Amazon listing to see whether boundary information such as size and which models it fits has been accurately expressed and presented.

In my view, the partial refund feature is one of the tools the platform gives us to effectively lower return costs at certain levels, but the most fundamental thing is still to carry out a full check and analysis at the product and listing level, and solve the high return rate problem from the source.

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Data note: category structure, demand signals and competition levels are aggregated from public Amazon category pages and our own research snapshots. Figures are ranges, not individual seller data.