Reduce Churn and Increase Retention

Simon Predict Example

The Churn Prediction model gives you insight into which customers are most likely to churn. By targeting high churn risk customers in retention campaigns, or by omitting them from certain communications, you can better maintain a healthy customer base.

Build a Journey using High Likelihood to Churn

For example, you could build a Journey using the pre-built segment High Likelihood to Churn in your entry criteria and a purchase segment in your exit criteria so you're messaging customers when they have a high chance of churning, but not once they've made a purchase.

Entry Criteria: High Likelihood to Churn
Exit Criteria: PurchasedEntry Criteria: High Likelihood to Churn
Exit Criteria: Purchased

Entry Criteria: High Likelihood to Churn
Exit Criteria: Purchased

You can then continue on to create a first touch email, branch to preferred channel -- whatever works best for your personal campaign.


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