TILE UNVELING CHURN DRIVERS: A STUDY OF TELECOCUSTOMER CHURNS

In this project, we investigate customer churn within the telecommunications (Telco) industry. The objective is to analyze patterns and factors that contribute to customer attrition, and subsequently develop predictive models to identify potential churners. By leveraging historical customer data, Through machine learning techniques, we strive to provide Telco providers with actionable recommendations to mitigate churn and enhance customer loyalty, ultimately contributing to sustainable business growth. The research likely reveals insights such as the influence of factors like contract duration, service quality, pricing plans, and customer support satisfaction on churn rates . Additionally, the study could shed light on the significance of customer engagement and loyalty programs in reducing churn. By understanding these drivers, telcos can strategically address customer attrition. This might involve improving service quality, optimizing pricing structures, enhancing customer service interactions, and tailoring marketing efforts to specific customer segments. Ultimately, the study’s findings contribute to informed decision- making within the telecommunications industry, potentially aiding in the development of effective retention strategies and bolstering customer satisfaction.