I was trying to build a predictive churn model based on statistical analytical
techniques. However, I have not been able to hit upon the right tool (logistic regression, cluster analysis, or PCA) or the right methodology. It would be very nice if you could provide some insights as to the modeling aspects.
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I've likened predictive churn modeling to the alchemy practiced during
medieval times when trying to find a formula which would create gold. Most
predictive models are built on a combination of multivariate techniques
which include regression and branching (CHAID) methodologies. For
reference, I've attached one of my
articles on this subject, which appeared last year on SearchCRM.
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This was first published in April 2003
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