This notebook analyzes user behavior across a multi-step ecommerce funnel to identify:
- Where users drop off
- Which segments convert best
- High-leverage opportunities to improve UX and drive revenue
- Visual funnel breakdown with key drop-off points
- Deep-dive into cart abandonment (92% drop at payment page)
- Segment-level performance by device & gender
- Actionable insights framed for PMs & growth teams
- Sprint-ready recommendations to test & implement
Product, growth, and UX teams looking to:
- Increase conversion rate
- Prioritize high-ROI experiments
- Diagnose friction in the checkout journey
- Make data-driven design decisions
Built using Python, pandas, seaborn, and matplotlib