Amazon return analysis FAQ: normal return rates, how to read return reasons, reducing return losses, and what data the analyzer needs.
What is the Amazon Return Analyzer?
It tracks return rates by SKU and by reason, converts returns into refund losses, and highlights the SKUs whose returns are quietly destroying your profit. Instead of staring at Seller Central reports, you get one ranked list: which product, which reason, how much it costs you per month.
What is a normal return rate on Amazon?
It varies hugely by category: 2-5% for kitchen and home goods, 10-20% for apparel and shoes (sizing), up to 25-40% for some electronics accessories. The right benchmark is your own category average plus trend direction — a SKU drifting from 6% to 12% is a fire even if the absolute number looks fine.
How do I reduce returns?
Attack the top reason for each SKU: if it is 'item not as described', fix images and bullet points; if sizing, add a size chart and fit feedback; if 'defective', talk to your factory about QA. The analyzer groups reasons so the fix is usually obvious — the top two reasons typically account for 70% of returns.
How are refund losses calculated?
Refund loss = refunded order value + return processing fee + non-recoverable inventory cost, minus resale value of returned units in sellable condition. The tool applies your per-SKU inputs (unit cost, disposal rate) and shows the true monthly cost of returns, not just the refund count.
What data do I need to get started?
Just paste or import your return reports from Seller Central (returns and order reports). The analyzer maps order IDs, SKUs, reasons, and refund amounts automatically — no manual spreadsheet work required. Historical import is supported so you can see trends immediately.
