Build a Pareto of Return Reasons
Apply Pareto analysis to prioritize Amazon return-reduction work.
Shoulder brace ASIN has 86 returns in 30 days, spread across five reason categories. Pareto analysis: count, sort, cumulate, then focus on the vital few. Fixing every return reason at once feels thorough, but it spreads effort across low-volume categories while the biggest source of returns keeps repeating. Count categories Group the 86 returns by reason: sizing confusion 36, comfort complaint 22, damaged packaging 11, changed mind 9, other 8. Pareto starts with counts by category. Do not debate solutions until the categories are visible. Sort descending Order reasons from largest to smallest: sizing, comfort, damaged packaging, changed mind, other.…
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