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Membership Aggregate Risk Factor

Membership Aggregate Risk Factor combines club, gender, affluence, generation, and RFM risks into one score to predict churn likelihood.

Updated yesterday

Platform: Enolytics DTC

Summary:

What it is: Membership Aggregate Risk Factor combines all risk indicators (club risk, gender risk, affluence risk, generation risk, ex-club channel risk, and RFM factor) into a single composite score that measures a customer's likelihood of churning or disengaging.

How to use it:
β€’ Identify high-risk customers who need immediate retention attention by filtering for the highest risk scores, allowing you to prioritize outreach efforts where they'll have the most impact
β€’ Segment your customer base by risk level to create targeted campaigns β€” send different messaging to low-risk customers (upselling opportunities) versus high-risk customers (retention offers)

Tip: Since this aggregates multiple risk dimensions, customers with mid-range scores might have one major risk factor balanced by strong performance elsewhere, so dig into the individual risk components when planning your response strategy.

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 β€” it opens a quick chat so you can let us know.


Quick Stats:

  • Type: float


πŸ“ Description

combination of all risk factors combined (club risk, gender risk, affluence risk, generation risk, ex club channel risk and rfm factor)


βš™οΈ Technical Details

Type: float

Format: ##0.0%;-##0.0%


ℹ️ Additional Details

  • Created: 2026-04-11T12:17:09Z

  • Key: [dimension].[Membership Aggregate Risk Factor]

  • ID: 89bfeb7c-96c2-5388-9aa8-f5a5a1763736


🏷️ Tags

  • Channel

  • Gender

  • Generation

  • Membership Aggregate Risk Factor

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