E-commerce · Product
Product return analysis
Identifying which products get returned most and why.
Return rate, by category
Apparel
Shoes
Electronics
Home goods
Finding
Apparel returns 28% of orders against 8% for home goods; sizing is 62% of return reasons.
Who it's for
Product teams reducing returns through better sizing, descriptions, and imagery.
What it solves
Understand return patterns to reduce return rates and improve profitability.
Questions it answers
Return rate by category?
Apparel returns at 28% vs 8% for home goods - sizing is 62% of reasons.
Channel impact?
Social media acquired customers return 35% more than organic.
Sizing guides help?
Products with detailed size guides have 18% lower return rate.
- Which products have highest return rates?
- What are the main return reasons?
- How do returns vary by channel?
- Does customer review of sizing help?
The impact
- Reduce returns by 20%
- Save $800K in return processing
- Improve customer satisfaction
The data it needs
- Return events with reasons
- Product attributes
- Acquisition channel data
- Customer history
Read in place in your warehouse. Nothing is copied out.
Product return analysis: frequently asked questions
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