The Datamine Guide to Customer Retention

In the Datamine Guide to Customer Retention, we take an in-depth look at churn prevention through predictive analytics.


Retaining customers is more important now than ever before. 
This paper outlines a robust approach to investigating and 
managing customer churn for those in the B2C market. In 
order to address customer retention and loyalty, businesses 
must first understand customer churn through comprehensive 
analysis and quantify its impact. This analysis will provide 
initial insight, potentially identifying specific groups of 
customers requiring market research or specific 
communication attention. 

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1. Introduction: Following a phased approach
2. Quantifying the impact of churn
3. Understanding key factors surrounding customer retention
4. Developing the predictive model
5. Implementing retention initiatives
6. Measuring what’s working and what’s not
7. Summary