Churn Analysis
This notebook analyzes customer churn using a dataset of 8,000 customers. It investigates churn drivers across various dimensions, including subscription type, usage patterns, age demographics, and skip behavior. The analysis reveals surprising insights such as lower churn rates for free users compared to family plan users, a "usage paradox" where medium usage customers churn more, and unexpected age demographics in churn.