Customer Churn Analysis Report

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Context / Problem:
Retention is a key metric for understanding product health. This report examines customer churn trends over several years, broken down by demographics such as gender and partner status, to identify patterns in user retention.

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Approach / Role:
I compiled and analyzed historical customer data, organizing it by year, gender, and churn status. The goal was to quantify churn rates and observe trends across different user segments.

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Findings:
The data highlights variations in churn by gender and partner status over multiple years. These patterns provide a foundation for identifying at-risk segments and understanding overall retention trends.

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Use / Next Steps:
This report can guide further analysis, such as investigating causes of churn or testing interventions to improve retention.