ClaimifyYour return reasons are a product roadmap
When a product comes back, most stores log it and move on. But the why behind a return is one of the most honest signals you’ll ever get from a customer — and it’s free.
Treat reasons as data, not paperwork
Capture a structured reason on every return:
- Doesn’t fit — a sizing or fit problem
- Not as described — a listing/expectation gap
- Damaged / defective — a QA or packaging issue
- Changed mind — usually unavoidable, but track the rate
Once these are clean fields instead of free text, you can actually aggregate them.
Read the patterns
A spike in doesn’t fit on one SKU means your size chart is wrong, not your product. A cluster of not as described points at photography or copy. Damaged trending up? Check the carrier and the box before you blame the factory.
The goal isn’t fewer returns at any cost — it’s catching the fixable ones before they repeat across hundreds of orders.
Close the loop
Pick the top reason each month and ship one fix: update the size chart, reshoot a hero image, add a packaging insert. Then watch that reason’s share drop next month.
Returns analytics turn a cost center into a feedback loop. The stores that win treat every return as a small, specific piece of advice.