Solution Accelerator
Survival Analysis for Churn and Lifetime Value
Pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook
Predict churn and calculate lifetime value
Survival analysis is a collection of statistical methods used to examine and predict the time until an event of interest occurs. In this Solution Accelerator, learn how to use different survival analysis techniques for predicting churn and calculating lifetime value.
- Identify which factors contribute most to extending the customer lifecycle
- Predict which customers are at risk of churning
- Optimize marketing spend based on the ratio of lifetime value to cost of acquisition
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