Predicting customer churn can be a difficult task for any business. However, by using SQL, businesses can take a more proactive approach to customer churn by identifying at-risk customers and targeting them with retention campaigns.
There are a few key things to keep in mind when using SQL to predict customer churn:
- Look for patterns in customer behavior.
- Use historical data to identify at-risk customers.
- Use customer segmentation to target retention campaigns.
- Test and iterate on your predictions.
By following these tips, businesses can use SQL to become more proactive in their approach to customer churn.
