Return reason analysis is the classification and counting of returned orders by the reason behind them. Once size, color mismatch, damage, wrong item, late delivery and change of mind are counted separately, the return rate stops being a single percentage and becomes a list you can act on. Without the analysis, the return rate is just something to complain about.
Improvement without a reason breakdown is guesswork. Size-driven returns are fixed with a size chart, color-driven ones with photography shot under correct lighting, damage-driven ones with packaging, wrong-item ones with the warehouse picking process; each belongs to a different team. On marketplaces the reason the customer selects does not always reflect the real one, so the free-text comments should be read too. The analysis has to be done per product; a catalog average hides a handful of problem items.
Reason share = Returns for a given reason ÷ Total returns × 100
If 130 of 300 monthly returns are size-driven, fixing the size chart targets more than a third of the return rate.
Improvement without a reason breakdown is guesswork. Size-driven returns are fixed with a size chart, color-driven ones with photography shot under correct lighting, damage-driven ones with packaging, wrong-item ones with the warehouse picking process; each belongs to a different team. On marketplaces the reason the cu…
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