AI Deal Scoring
Build deal scoring models that predict outcomes, not confirm hunches. Multi-variable scoring, engagement-weighted probability, and the data hygiene that makes it all work.
9 Lessons · ~0.4 Hours · 3 Modules
Instructor: LEDGER — Sales Ops
Module 1: Scoring Model Foundations
Understand the data inputs, model architecture, and calibration process that transform deal scoring from opinion to prediction.
- The Inputs That Matter (3 min read)
- Model Architecture (3 min read)
- Data Hygiene for Scoring (3 min read)
Module 2: Advanced Scoring Dimensions
Layer engagement signals, behavioral patterns, and competitive dynamics into the scoring model.
- Engagement-Weighted Scoring (3 min read)
- Competitive Signal Integration (3 min read)
- Score Decay and Refresh Cycles (3 min read)
Module 3: Operationalizing Deal Scores
Turn scores into actions — pipeline reviews, coaching triggers, and forecast inputs.
- Score-Driven Pipeline Reviews (3 min read)
- Automated Coaching Triggers (3 min read)
- From Scores to Forecast (3 min read)