Subscriber attrition can be difficult to anticipate. The Subscriber Churn Prediction Solution Accelerator shows how to analyze behavioral data, identify subscribers at increased risk of cancellation, and use machine learning to estimate churn likelihood and understand the factors that contribute to that risk.
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
- Analyze behavioral data: identify subscribers with an increased risk of cancellation.
- Predict churn likelihood: use machine learning to quantify the likelihood that a subscriber will churn.
- Understand churn drivers: identify the factors that help explain churn risk.
- Support customer engagement: use customer insights to help inform more personalized experiences and subscriber engagement.
🔗 Launch Solution Accelerator 👈
