← Every exhibit
Portfolio Segmentation via Predictive Telemetry
| Cohort | Account Count | Baseline Health Score ($H$) | Baseline Churn Probability | Core Behavioral Telemetry Profile | Intervention Sensitivity ($\Delta P$) |
|---|---|---|---|---|---|
| Cohort A: Terminal Lost Causes | 40 accounts | 15–35 (Critical Red) | 85% | Economic buyer departed; zero core logins in 60 days; competitor contract signed | 5% (Churn drops from 85% to 80%) |
| Cohort B: Persuadable At-Risk | 60 accounts | 40–65 (Amber Risk) | 50% | Active user base, but blocked by ERP synchronization failure and training gap | 35% (Churn drops from 50% to 15%) |
| Cohort C: Stable Mainstream | 220 accounts | 70–85 (Green Stable) | 10% | Steady workflow execution; broad seat utilization; routine support cadence | 4% (Churn drops from 10% to 6%) |
| Cohort D: Embedded Champions | 80 accounts | 86–100 (Elite Green) | 2% | Deep multi-departmental dependency; high API volume; executive advocacy | 1% (Churn drops from 2% to 1%) |
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Reference & Evidence
Source: Table from this essay. Sources and interpretation are given in the article.