Layer 01
Pipeline Coverage
Is there enough qualified pipeline, by segment and source, to support the target?
Signal: Coverage by stage
PIPELINE-BASED FORECASTING
Build the forecast from pipeline evidence.
A pipeline-based forecast connects the revenue target to measurable coverage, conversion, timing, and deal risk. The result is a forecast leaders can inspect, explain, and improve—not just a number collected from the field.
Forecast Equation
Pipeline → Revenue
$4.0M
Open Pipeline
32%
Evidence Rate
$1.28M
Modeled Revenue
Closed + Commit$760K
Risk-adjusted Upside$340K
Modeled Gap$180K
Illustrative model only. Actual assumptions should be calibrated to your segments, sales cycle, historical conversion, and current deal evidence.
The Model
Four layers turn pipeline into a forecast.
Layer 02
Conversion
How reliably does value move from each stage to closed-won revenue?
Signal: Stage conversion
Layer 03
Velocity
Can open opportunities progress through the remaining stages before period end?
Signal: Days in stage
Layer 04
Deal Evidence
Do next steps, buyer engagement, close plans, and risk signals support the stated outcome?
Signal: Deal confidence
Weekly Operating Loop
The model improves when the team explains what changed.
Pipeline-based forecasting is not a one-time spreadsheet. It is a repeatable management loop that combines historical performance with current-quarter evidence.
01
Set the target and split it into closed revenue, committed pipeline, upside, and remaining gap.
02
Apply historical conversion and timing assumptions to the open pipeline by stage and segment.
03
Inspect deal-level evidence to adjust the model where current-quarter reality differs from history.
04
Reconcile the model with manager judgment and explain every material movement week over week.
Make It Yours