Analyzing churn is a critical business exercise, but preventing churn is how you begin to impact your bottom line. Predictive modeling allows you to isolate contributors to churn, identify at-risk customers, and most importantly, put the results in the hands of subject matter experts who can prevent churn proactively.
Three of the most common components of churn prevention will be covered in this on-demand video:
- Identifying churn rate using descriptive analysis
- Predicting churn using predictive modeling
- Preventing churn
Tune in as Senior Statistical Analyst James Cousins discusses how you can reduce churn rate and deepen analytic maturity with a minimum of effort.
This presentation includes an in-depth product demonstration of the Veera platform, an analytics platform for data preparation, analysis, and access.