Myntra — Men's Fashion Discovery & Fit
Reducing bounce and returns through better discovery
E-commerceUser JourneyPersonalization
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The Insight
Men's fashion discovery on Myntra suffers from high bounce and return rates due to poor fit prediction and overwhelming category browsing. The journey from inspiration to purchase has too many friction points.
My Approach
- ▸Mapped the complete men's shopping journey from discovery to delivery
- ▸Identified fit uncertainty as the primary driver of both bounce and returns
- ▸Designed personalized discovery flows based on style preferences and body type
What Was Built
- ▸Redesigned discovery flow with personalized style profiles
- ▸Fit prediction improvements based on purchase and return data
- ▸Streamlined browsing experience with better filtering and recommendations
The Outcome
- ✓Detailed strategy to reduce bounce and return rates through better discovery
- ✓Personalization framework applicable to fashion e-commerce platforms
Reflection
Content coming soon — detailed case study in progress.