Survival analysis is a set of statistical methods used to examine and predict the time until an event happens. This Survival Analysis for Churn and Lifetime Value Solution Accelerator shows how these techniques can be used to predict churn, calculate lifetime value and better understand the factors that influence the customer lifecycle.

With this Accelerator, you get

• Ready-to-use resources: pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook

• Understand customer lifecycle drivers: Identify which factors contribute most to extending the customer lifecycle.

• Predict churn risk: Identify which customers are at risk of churning.

• Support spend decisions: Optimize marketing spend based on the ratio of lifetime value to cost of acquisition.

🔗 Launch Solution Accelerator 👈