Pipeline & Conversion
Make your forecast a system output, not a meeting output.
A trustworthy pipeline and a forecast leadership can commit to: stages with real exit criteria, a weighted forecast model with categories, and the executive revenue analytics that explain what is actually going to close.
Why is our forecast a meeting output, and why can't we see what's actually going to close?
When stages mean different things to different reps and the forecast is reassembled by hand every week, leadership is running the business on a number it can't trust. This project gives the pipeline real discipline and the forecast a method, so the number is a system output refreshed on a cadence, with the analytics to explain it.
Scope
What's included
Stage design
Pipeline stages defined by buyer actions with verifiable exit criteria, enforced in the CRM so the pipeline means the same thing to everyone.
Forecast model
A weighted forecast model with forecast categories, Commit, Best Case, and Pipeline, refreshed on a cadence from one agreed number.
Revenue analytics
Executive analytics: coverage by stage, deal velocity, slippage, and conversion, so the org sees itself in time to act.
Forecast cadence
A forecast call cadence and one agreed number leadership runs the business on, instead of a weekly reconciliation exercise.
How it works
From kickoff to handoff
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Define stages
We design buyer-action stages with verifiable exit criteria and enforce them in the CRM.
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Build the forecast
We build the weighted, category-based forecast methodology and roll-up.
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Stand up analytics
We deliver the executive revenue analytics and set the forecast cadence leadership runs.
Outcomes
What you walk away with
- Pipeline stages defined by buyer actions with enforced exit criteria
- A weighted, category-based forecast refreshed on a cadence
- Executive analytics for coverage, velocity, slippage, and conversion
- One agreed forecast number leadership runs the business on
Questions
Frequently asked
What do we need in place first?
A CRM with pipeline data. The cleaner the system of record, the more trustworthy the forecast, which is why this pairs naturally after CRM Foundation work.
Will reps actually use the new stages?
They will if the exit criteria are real and enforced. We design stages around buyer actions reps can verify, not subjective gut feel, which is what makes the forecast hold.