Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/87130
Authors: 
Figini, Silvia
Giudici, Paolo
Brooks, S. P.
Year of Publication: 
2006
Series/Report no.: 
Quaderni di Dipartimento, EPMQ, Università degli Studi di Pavia 185
Abstract: 
We consider the problem of estimating the lifetime value of customers, when a large number of features are present in the data. In order to measure lifetime value we use survival analysis models to estimate customer tenure. In such a context, a number of classical modelling challenges arise. We will show how our proposed Bayesian methods perform, and compare it with classical churn models on a real case study. More specifically, based on data from a media service company, our aim will be to predict churn behaviour, in order to entertain appropriate retention actions.
Document Type: 
Working Paper

Files in This Item:
File
Size
336.61 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.