Product return analysis
Identifying which products get returned most and why.
Who is this for?
Product teams reducing returns through better sizing, descriptions, and imagery.
What problem does it solve?
Understand return patterns to reduce return rates and improve profitability.
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Key Insights & Dashboards
Ask these questions in natural language and get instant, AI-powered insights from your data warehouse.
Question
Return rate by category?
Insight
Apparel returns at 28% vs 8% for home goods - sizing is 62% of reasons.
Question
Channel impact?
Insight
Social media acquired customers return 35% more than organic.
Question
Sizing guides help?
Insight
Products with detailed size guides have 18% lower return rate.
Expected ROI
Organizations using this use case typically see measurable improvements in these areas.
Reduce returns by 20%
Save $800K in return processing
Improve customer satisfaction
What You'll Need
To use this analysis, ensure your warehouse contains the following data. Mitzu will automatically detect and map these fields.
- Return events with reasons
- Product attributes
- Acquisition channel data
- Customer history
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