The Return Reason Your Dashboard Hides

Conclusion: return-reason codes were built to route the item (restock, refurbish, or refund), not to explain why the shopper sent it back. So "I couldn't tell how it would look on me" has no box to tick, and that demand hides inside "wrong size" and "changed my mind." Size or fit is already the #1 cited reason, ~53% of apparel returns at one tracker and up to ~70% including style (Coresight, EEA), and color or appearance adds ~16%, so roughly 69% of cited reasons are about how the item looked or fit, which a shopper judges before buying. These are cited reasons, not proven causes. The fix is a taxonomy change, not another size chart: add a "didn't look how I pictured it" reason code, watch for a month, and if it pulls volume from "wrong size," your lever is pre-purchase visualization (59% say a try-on helps them picture an item, Nosto; AR users were 80% more confident, Snap).

Why does your returns dashboard mislead you?

Return-reason codes were built to route the item, not explain the shopper. With no box for "I couldn't tell how it would look on me," that demand hides inside "wrong size" and "changed my mind."

What do shoppers actually cite?

Cited reasonShare of returnsFixable before the sale?
Size or fit53%Yes, with clearer fit info and an on-body preview
Color or appearance16%Partly, with true color and an on-body view
Damaged or defective10%No, this is a quality and packing issue
Other or not recorded~21%Unknown until you add a reason for it

These are cited reasons, a survey answer, not a proven cause (see: virtual try-on statistics that survive a fact-check).

How much of this is a visualization problem?

Most returns are about how the item looked or fit, which a shopper judges before buying. 59% say a try-on helps them picture an item (Nosto); AR users were 80% more confident (Snap). So the lever is pre-purchase confidence, not a fourth size-chart rewrite.

What can you do this week?

FAQ

What is the most common reason for clothing returns?

Size or fit is the #1 cited reason, about 53% of apparel returns at one tracker and up to ~70% including style (Coresight, EEA). It is a cited survey reason, not a proven cause.

Why doesn't my returns dashboard show "couldn't picture it"?

Most reason codes were built to route the item, not explain the shopper. With no box for "didn't look how I expected," that demand hides inside "wrong size" and "changed my mind."

How do I separate a sizing problem from a visualization one?

Add a reason code like "didn't look how I pictured it," then watch for a month. If it pulls volume from "wrong size," your lever is a better preview, not another size chart.

Does a virtual try-on reduce returns?

It can raise pre-purchase confidence: 59% say a try-on helps them picture an item (Nosto) and AR users were 80% more confident (Snap). Measure any effect on your own store with a holdout.

Sources