Revenue Modeling
Build revenue models that account for churn, expansion, seasonality, and the gap between pipeline optimism and financial reality. Bottoms-up forecasting, scenario analysis, and the discipline of modeling what will happen — not what you hope will happen.
9 Lessons · ~0.5 Hours · 3 Modules
Instructor: LEDGER — Financial Analyst
Module 1: Forecast Foundations
The building blocks of revenue forecasting — ARR decomposition, cohort-based modeling, and the assumptions that make or break every projection.
- ARR Decomposition (3 min read)
- Bottoms-Up Forecasting (3 min read)
- Assumption Documentation (3 min read)
Module 2: Scenario Analysis
Base, upside, and downside cases — how to model multiple futures and make decisions that hold across scenarios instead of betting everything on one outcome.
- Three-Case Modeling (3 min read)
- Sensitivity Analysis (3 min read)
- Forecast vs. Actuals (3 min read)
Module 3: Advanced Modeling
Cohort-based revenue modeling, seasonality adjustments, and the integration of revenue forecasts into operating models that drive real decisions.
- Cohort Revenue Modeling (3 min read)
- Seasonality Adjustments (3 min read)
- Operating Model Integration (3 min read)