分析和预测模型可以识别客户流失的驱动因素,优化配置资源,以及指示对高风险、高价值客户的联系策略。
Analytics and predictive modeling can help to identify drivers of churn, prioritize resources and alert contact strategy for customers that are both high-risk and high-value.
对传统客户价值概念进行了扩展,提出客户价值度量函数模型,系统分析了客户价值的主要驱动因素和特点。
Starting from the original concept of the Custom Value(CV), an expended definition is introduced to develop a quantitative model for CV.
应用推荐