Predictive Customer Health & Churn Analytics

Revenue-at-risk intelligence combining usage deceleration, support escalation, sentiment drift, and engagement decay into calibrated churn prediction — ranking accounts by intervention urgency.

Last 90 days
Gross Revenue Retention
93.1%
+2.4%
Revenue at Risk
$2.1M
-12%
Avg Risk Score
39
-6pts
Save Playbook Effectiveness
64%
+8%
Health vs Risk Divergence
16
accounts

Risk Score Distribution

Revenue at Risk by Tier

Highest-Risk Accounts

Account ARR Risk Score Health Score Usage Trend Primary Signal Intervention
TechVentures Inc $340K 86 72 -34% Usage decel + billing hesitation Executive QBR
DataFlow Systems $280K 82 68 -28% Support escalation spike CSM outreach
CloudNine Corp $195K 79 81 -19% Sentiment drift + engagement decay Scheduled
NetSecure LLC $420K 77 74 -22% Champion departure Relationship rebuild
Innovate Solutions $150K 75 69 -31% Feature adoption plateau Training series
GlobalTech Partners $310K 73 77 -15% Competitor eval signals Win-back campaign
ScaleUp Enterprises $225K 71 83 -8% Billing payment delay Finance check-in
Quantum Dynamics $380K 69 71 -18% Multi-signal convergence Deep dive review

Predicted vs Realized Churn (90-day)

Model AUC-ROC: 0.76 (improved from 0.69)

Health vs Risk Divergence

16 accounts with green health (>70) but high risk (>70)

Save Playbook Effectiveness

64%
Recovery rate from high-risk accounts
13
Saved
8
Churned
$980K MRR recovered from 21 at-risk accounts

Usage Deceleration Cohorts