Platform: Enolytics DTC

Summary:

What it is: Membership Risk Of Leaving categorizes club members by their likelihood to leave - ranging from new members with no established pattern to very high risk members showing strong churn signals.

How to use it:
• Prioritize retention efforts by focusing outreach and special offers on high and very high risk members before they cancel
• Track membership health trends by monitoring how many members fall into each risk category over time to spot early warning signs

Tip: Pay special attention to members moving from low to average risk - catching them early in the risk progression is often more effective than waiting until they reach high risk status.

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:

Identifies in human terms the risk of the membership of leaving the club (new, low, average, high and very high)

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