Refund Rate Calculator

Overall e-commerce return rates run roughly 15–20%, but they vary enormously by category: apparel and shoes commonly see 20–30% driven by fit, while consumables, tools and home goods often stay under 5%. Judge your rate against your category and your own trend line — a rate that doubles quarter-over-quarter is a product or expectation problem regardless of the absolute level.

Typically much more than the order value suggests: you already paid outbound shipping, payment processors usually keep their percentage fee on refunds, return shipping often lands on you, and returned goods frequently resell at a discount or not at all. Industry estimates put total processing cost at 20–65% of the item value on top of the refund itself — which is why cutting refund rate is worth real engineering.

Attack the top reasons in order. For fit: detailed size charts, model measurements and customer photos. For expectations: accurate colors, dimensions in the photos, honest descriptions. For damage: better packaging and carrier selection. Post-purchase, a quick exchange flow converts many would-be refunds into swaps. Analyzing return reasons for one quarter usually reveals that two or three fixable causes drive most of the volume.

Track both. Order-based rate (used here) shows how often the experience fails; revenue-based rate shows the financial exposure and diverges when expensive items return more often than cheap ones. If your revenue-based rate runs well above your order-based rate, your premium products are the return problem — a signal an order-count average alone would hide.