Strategic Analysis of Customer Churn of TelcoNet: A Foundational Statistics

Addressing a 26.5% churn rate, this project leveraged Python and inferential statistics to uncover the root causes of customer attrition. By applying Chi-Square and Welch’s T-Tests, statistically validated that short-term contracts and high monthly charges were the primary churn drivers, rather than random occurrences. These findings enabled the creation of precise risk profiles (e.g., Fiber Optic users) and led to the formulation of data-driven retention strategies—specifically contract migration incentives and high-value VIP programs—designed to directly mitigate risk and secure revenue.