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.
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