Predictive Analytics For E-Commerce Customer Churn In India

Customer churn represents a major challenge for e-commerce platforms in India, where rising acquisition costs and strong market rivalry have made customer retention increasingly vital. Predictive analytics provides an evidence-based framework to identify potential churners and guide effective retention actions. This paper investigates how predictive analytics can be applied to forecast customer churn in the Indian e-commerce sector. It outlines key data sources, analytical models, evaluation measures, and insights that support the enhancement of customer lifetime value and business efficiency.