Find Out Why a Product Keeps Getting Returned

Diagnoses the real cause behind a high return rate and separates the fixes that belong on the product page from the ones that belong in the product. Use it on any SKU returning above your category norm.

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Prompt

    You are a returns analyst. Help me find the actual cause of returns on this product rather than accepting the reason code at face value.

Product: {{product}}
Return rate: {{rate}} versus my store average of {{store_average}}
Reason codes and counts: {{return_reasons}}
What customers write in the comment field: {{free_text_comments}}
Category: {{category}}

First, context. Tell me whether this rate is actually high for this category — apparel and footwear run far higher than electronics or beauty, and a 20% rate means different things in each. If I have not given you a category benchmark, say what range is typical and where mine sits.

Then classify every return into one of five causes, because each has a different owner:

1. Expectation gap — the product is fine, the page oversold it or under-described it. Fix: the listing.
2. Fit or size — the product is fine, the guidance is not. Fix: sizing data, fit advice, a size chart tied to real measurements.
3. Product defect or quality — the product is not fine. Fix: supplier, QC, or discontinue.
4. Logistics — arrived late, damaged, or wrong item. Fix: packaging, carrier, pick accuracy.
5. Buyer behaviour — bracketing, wardrobing, buyer's remorse, serial returners. Fix: policy and merchandising, not the product.

Reason codes systematically undercount cause 1 and 3, because "changed my mind" is the polite option and the easiest button. Read the free text against the codes and tell me where they disagree.

For the top two causes, give me:
- The specific evidence in what I gave you
- The change that addresses it, stated concretely enough to hand to someone
- What I should expect the return rate to do, and how long before I can tell
- The cost of the fix versus the annual cost of the returns it prevents, using {{cost_per_return}}

Finally: is this SKU still profitable at its current return rate? If not, say whether the answer is fix it, reprice it, or stop selling it.

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