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E-commerce Funnel & Conversion Analysis | SQL, Python, Google Colab

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E-commerce Funnel & Conversion Analysis Using SQL What I did: Cleaned & prepared 10,000+ session records with Pandas in Google Colab Ran complex SQL queries in SQLite to uncover conversion patterns Analyzed user behavior across funnel stages, device types, countries, and referral sources Estimated ₹12.4 Lakhs in lost revenue due to cart abandonment Highlighted high-performing user segments (e.g., UK market, Mobile users, Furniture category) Key Insights: 40.86% of users dropped at the browsing stage Mobile users had the highest conversion rate (10.5%) Direct traffic & new users outperformed others in purchase likelihood Huge potential in cart recovery strategies
Published:July 28, 2025
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Aug 8, 2025
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