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Predictive Analytics For E-Commerce Customer Churn In India

Year: 2025

Type: article

Abstract: 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.

Source: International Journal of Novel Research and Development

DOI: 10.56975/ijnrd.v10i12.310971

Authors: Meghana B K, Kumara N

Institutions: Presidency University, Presidency University

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4417295218

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