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Analyzing Predictive Churn in Finance
This chapter explores the concept of predictive churn in the context of building forecasts for CFOs and SaaS finance. It discusses the challenges of retaining customers in a competitive marketplace and the various decision criteria and attributes used to analyze customer behavior, including product usage, adoption, user feedback, payment history, and competitive positioning. The chapter also acknowledges the role of AI in developing algorithms for predicting churn.