Research on E-commerce Customer Relationship Management Based on Data Analysis

Abstract

With the advent of the era of big data, the competition of various e-commerce platforms is becoming increasingly fierce, and the problem of customer churn is serious. The competition of e-commerce companies has become a data-based competition, and the mining of customer information has become particularly important in customer relationship management. Using data mining technology to organize and analyze customer data, we can more accurately understand customer needs and customer consumption trends. Only in this way can e-commerce companies create stronger and more accurate profit points. This paper takes specific e-commerce enterprises as the analysis object, and uses cluster analysis and logistic regression analysis to analyze and predict customer segmentation and customer retention and churn, providing a certain basis and direction for the marketing strategy of e-commerce enterprises