Predicting customer churn helps businesses retain at-risk customers by analyzing purchasing behavior and identifying patterns that indicate potential churn. This guide introduces the key concepts and steps required to implement a SQL-based logistic regression model for churn prediction.
Key topics covered
The main topics covered in the document are:
Next steps
To learn how to create and apply the churn prediction model, see the full guide.
