Measuring Health Intelligence Impact

Health intelligence impact is measured by the model's ability to predict outcomes and the organization's ability to improve outcomes based on the model's predictions. Three metrics define success. Predictive accuracy: what percentage of accounts the model flagged as high-risk actually churned, and what percentage of accounts that churned were flagged in advance? The ideal model flags most churning accounts in advance (high sensitivity) with few false alarms (high specificity). Intervention effectiveness: when the model identifies an at-risk account and the team intervenes, what is the save rate? If 40% of flagged accounts are saved through intervention, the model is driving actionable intelligence. Net retention impact: does the portfolio's net retention rate improve after health modeling is deployed, compared to the pre-deployment baseline? This is the ultimate measure — did the system make a business difference?

1. Measure Predictive Accuracy Calculate sensitivity (percentage of churned accounts that were flagged) and specificity (percentage of healthy accounts that were correctly scored as healthy). Target: 80%+ sensitivity with 70%+ specificity. A model that catches 80% of churning accounts while only false-alarming on 30% of healthy accounts is a significant improvement over no model at all.
2. Measure Intervention Effectiveness For every account flagged as at-risk where the team executed an intervention, track whether the account was retained at the next renewal. Compare the retention rate for intervened accounts against the retention rate for similar-risk accounts that were not intervened (either from a pre-model period or from cases where intervention did not occur). The difference is the intervention effect.
3. Measure Net Retention Impact Compare portfolio-level net retention for the 12 months before health modeling deployment against the 12 months after. Control for other factors that may have changed (market conditions, pricing, product improvements). The residual improvement after controlling for other factors is attributable to the health intelligence system.

You know what you do. I'll show you why it matters.

— BEACON, Customer Intelligence & Value Analyst