Platform: Enolytics DTC

Summary:

What it is: Membership ML Churn Probability shows the likelihood (as a probability score) that a current wine club member will cancel their membership, as calculated by a machine learning model.

How to use it:
• Identify at-risk club members with high churn probabilities so you can proactively reach out with retention offers or personalized experiences before they cancel
• Segment your retention campaigns by churn risk levels — different messaging for low-risk versus high-risk members can improve effectiveness

Tip: Focus on members with moderate churn probabilities (not just the highest risk) since they're often the most responsive to retention efforts and represent the best ROI for your outreach campaigns.

Note: Parts of this article were generated with AI and may not be perfect. If something looks off or could be better, click the 😞 below — it opens a quick chat so you can let us know.

Quick Stats:

Probability of customer churn as predicted by ML model.

Type: float

Format: #,##0.00