Customer Retention in the Financial Industry: An Application of Survival Analysis

Customer Retention in the Financial Industry: An Application of Survival Analysis
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Published on 2008 by ProQuest

This ebook tells about The statistical analyses conducted employing two cohorts showed that the Cox model was stable across cohorts. Using Cox's hazard method, all of the independent variables were found to be significantly related to customer retention, while some of demographic factors (for example, tenure, marital status and gender, and channel usage) were not found to significantly affect customer retention in the logistic regression.

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Customer Retention in the Financial Industry: An Application of Survival Analysis
Therefore, the static models based on data collected during a specific time period \u003cbr\u003e\ncannot be easily generalized to other periods. By observing customer behavior \u003cbr\u003e\nover time, in a dynamic method, \u003cb\u003esurvival analysis\u003c/b\u003e could address these kinds of ...

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