Data and Analytics Resources

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Saving Your Customers Through Churn Modeling

Customer Analytics Churn Modeling with IBM SPSS

Mike Rexford reviews using Customer Churn models to predict churn by using a subscription-based transactions. Once data is split between data and testing, further analysis reveals customer scores between 0 and 1, and a scale rating risk of churn. Bronze, silver, and gold tiers of customers are analyzed and the most profitable clients are analyzed. A coupon is suggested to retain the profitable clients and the response rate, ROI, and cost of coupon are evaluated. This process overall helps to identify and quality how to save customers.