STATISTICAL MODELS FOR CUSTOMER LIFETIME VALUE

被引：0

作者：

Figini, Silvia ^{[1
]}

Giudici, Paolo ^{[1
]}

机构：

[1] Univ Pavia, Corso Str Nuova 65, Pavia, Italy

来源：

ADVANCES AND APPLICATIONS IN STATISTICS | 2010年 / 18卷 / 01期

关键词：

churn models; statistical data mining; multidimensional data analysis; predictive models;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

We consider the problem of estimating customer lifetime value on the basis of survival analysis models adapted to a different environment, the estimation of customer's life cycles. In such a context, a number of statistical modeling challenges arise. We present our methodological approach, based on bayesian survival models and compare it with classical churn models on a real data set coming from a media service company that aims to predict churn behaviours, in order to entertain appropriate retention actions.

引用

页码：41 / 55

页数：15

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