User Engagement Analysis (Funnel Analysis, User App Events)
Description
This project focused on analyzing user engagement patterns and optimizing conversion strategies for digital products. By examining 35K+ user event logs and email campaign interactions, I identified drop-off points in the user journey and provided data-driven recommendations to improve retention and re-engagement.
Project Highlights:
✅ Processed & Transformed 35K+ User Event Logs – Used SQL to clean and structure event data, ensuring data integrity for accurate behavioral analysis.
✅ Diagnosed User Drop-Offs with Funnel & Cohort Analysis – Conducted funnel analysis to pinpoint friction points in the conversion journey, helping optimize user experience and engagement flows.
✅ Optimized Retargeting Email Campaigns – Analyzed 10K+ retargeting email interactions, leveraging device segmentation insights to improve email personalization strategies, resulting in a 15% increase in Click-Through Rate (CTR).
✅ Developed Data-Driven Action Plans – Provided marketing and engineering teams with targeted engagement strategies, enhancing campaign effectiveness and boosting user retention rates.
Project Impact:
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15% Increase in Click-Through Rate (CTR) – Improved email personalization and segmentation strategies, boosting user engagement.
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Optimized Conversion Funnels – Identified and resolved key drop-off points, enhancing the overall user experience and retention strategy.
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Improved Marketing & Engineering Collaboration – Delivered actionable insights that helped refine re-engagement strategies and product design improvements.
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Scalable Framework for Ongoing Optimization – Developed an analytics-driven decision-making approach to continuously monitor and enhance user engagement.
This project highlights how data analytics, behavioral analysis, and funnel optimization can drive user engagement, retention, and campaign effectiveness in digital products.
Skills
- SQL (Funnel Analysis, Cohort Analysis, Retention Analysis)
