The Smallest Possible Health Model
Three inputs beat twelve: activation state, usage recency/depth, and key feature adoption. Start with equal weights. If AUC/ROC against churn is ~0.5, your inputs are wrong, not your math. Fix the signals first.
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Experience and Outcomes are all that matter.
ByadminChurn is a lagging indicator. By the time a customer cancels, the problem started months earlier, usually as low engagement or stalled adoption. If you’re reacting to churn risk at renewal time, you’re already behind. The simplest formula for keeping customers I have been able to validate is below: Retention = Experience + Outcomes(Adoption(Engagement)) Work…
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NDR vs. GRR: The Two Retention Numbers That Matter
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