E-Commerce Customer Churn Analysis
Investigated customer purchasing behavior to identify churn drivers, segment at-risk customers, and uncover retention opportunities using behavioral and transactional data. Developed an interactive Power BI dashboard enabling business users to monitor churn trends, customer retention KPIs, and segment performance through dynamic filtering and drill-down analysis. Recommended targeted retention strategies for high-value customer segments by combining churn patterns with customer lifetime value analysis. Applied structured data cleaning and validation to ensure the underlying dataset was accurate and reporting-ready.
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