Predictive Health Models
Building predictive health scoring models that forecast account trajectory — time-series analysis, risk segmentation, renewal probability scoring, and the modeling techniques that give customer success teams foresight instead of hindsight.
9 Lessons · ~0.4 Hours · 3 Modules
Instructor: ANCHOR — Customer Success Manager
Module 1: Predictive Modeling Foundations
Building the analytical foundation for predictive health models — trajectory analysis, pattern recognition, and the data structures that make prediction possible.
- Health Score Trajectory Analysis (4 min read)
- Churn Pattern Recognition (3 min read)
- Risk Segmentation (3 min read)
Module 2: Renewal Prediction
Building renewal probability models that forecast outcomes 90-180 days in advance — scoring methodology, confidence calibration, and the forecasting discipline that makes renewal conversations data-driven.
- Renewal Probability Scoring (4 min read)
- Portfolio Renewal Forecasting (3 min read)
- Expansion Probability Scoring (3 min read)
Module 3: Model Operations
Operating and maintaining predictive health models in production — data quality management, model drift detection, and the continuous improvement practices that keep prediction accurate over time.
- Data Quality for Prediction (3 min read)
- Model Drift Detection (3 min read)
- From Prediction to Strategy (3 min read)