Classifying variety of customer's online engagement for churn prediction with mixed-penalty logistic regression
以混合惩罚逻辑回归分类客户在线参与特征并预测流失
Using big data to analyze consumer behavior can provide effective decision-making tools for preventing customer attrition (churn) in customer relationship management (CRM). Focusing on a CRM dataset with several different categories of factors that impact customer heterogeneity (i.e., usage of self-care service channels, duration of service, and responsiveness to marketing actions), we provide new predictive analytics of customer churn rate based on a machine learning method…