Why do commit, best-case, and pipeline forecasts require different closing velocity assumptions?

Question

Pulse RevOps · The Machine · Accepted Answer

## Three Forecasts, Three Velocities **Direct:** Commit assumes baseline closing rate. Best-case adds upside from acceleration. Pipeline counts everything. Each reflects different sales rhythm and deal maturity. ### Operator Detail Three separate forecasts aren't redundancy—they're signal clarity. Each answers a different question for the board. **Commit forecast — what's actually closing:** - Velocity: **current stage close rate** (85% for Negotiation, 95% for Commitment) - Timeline: **within current quarter** - Data: only deals with documented close date in this quarter, account executive confirmed close risk below 20% - Formula: (Count of mature deals) × (Historical stage win rate) = $X **Best-case forecast — if everything breaks right:** - Velocity: **optimistic stage close rate** (85% for Proposal instead of 60%) - Timeline: **within quarter if urgency hits** - Data: Proposal-stage and above deals, no legal holds, buyer consensus documented - Formula: Commit + (50% of Proposal-stage deals) + (20% of Qualification) = $Y **Pipeline forecast — all available opportunity:** - Velocity: **minimum stage close rate** (10% for Prospecting, 25% for Qualification) - Timeline: **next 2-4 quarters** - Data: every deal logged, standard weighting per stage - Formula: Sum of (all deals × stage-specific win rates) = $Z ### Why Three, Not One? **OpenView** data shows boards demand specificity. Commit builds trust (conservative = credible). Best-case shows growth vector. Pipeline reveals capacity ahead. One number hides all three signals. ### CRO Math If Commit = $1.2M, Best-case = $1.8M, Pipeline = $2.5M: - Board sees **$1.2M locked** (confidence builder) - Board sees **$600K upside** if reps execute perfectly - Board plans for **$1.3M in Q3** (pipeline minus commit) ```mermaid graph TD A["Total Pipeline
$2.5M
All deals × stage rates"] --> B["Mature Deals
Prop + Negotiation"] --> C["Commit
$1.2M
95% confidence"] A --> D["Acceleration Upside
High-signal proposals"] --> E["Best Case
$1.8M
70% confidence"] A --> F["Early Stage
Qual + Prospecting"] --> G["Future Pipeline
$1.3M
Next quarter"] C --> H["Board Sees
Conservative growth
+ velocity"] E --> H G --> H ``` TAGS: forecast-methodology,commit-forecast,best-case,pipeline,velocity-modeling,board-reporting

Why do commit, best-case, and pipeline forecasts require different closing velocity assumptions?

Three Forecasts, Three Velocities

Operator Detail

Why Three, Not One?

CRO Math

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