No gated pricing and no call required to see a number. If you want to talk it through, the first one is free and takes thirty minutes.
The forecast is rarely the problem. The causes sit underneath it: stages that mean different things to different reps, deals aging in place, close dates that slip without consequence, no historical conversion data by stage, and managers adjusting numbers without a consistent method. Diagnose it by pulling the last four to eight quarters and comparing what was committed, when it was expected, and what actually happened.
Last updated September 2026
Published prices. The diagnostic is free. Retainer $2,000 a month for up to 15 hours a week, Kaypo included.
Every deal, with its stage history, close date changes, and outcome.
What did you think would close, when did you think it would close, and what happened.
If it concentrates in one stage, that stage lacks exit criteria. If it spreads evenly, the problem is qualification.
This tells you whether the issue is pipeline creation, qualification, or execution.
A weighted model built on your own history rather than a benchmark borrowed from another business.
Want a defensible forecast?
Forecast methodology, stage design with exit criteria, and opportunity lifecycle are covered in Revenue Architecture, part of the retainer over six to eight weeks.
Let's chat See pricing
Reporting and Business Intelligence
What it covers and what it costs
What we built and what it changed
The definitions everything inherits, where revenue leaks between teams, and one number with one source.
Everything below is free and needs no call.
Within 10 percent of commit is a common target for a mature process. More important than the number is whether variance can be explained after the quarter.
Almost always both, and the data half is cheaper to fix. Stage definitions and historical conversion rates remove most of the room for optimism.
Six to eight weeks for methodology, stage design, and lifecycle. You will need a quarter or two of running it before accuracy improves measurably.
Usually not. Most forecasting tools produce a cleaner version of the same unreliable input. Fix the stages and the history first.
An 18 percent improvement in forecast accuracy is achievable when the underlying stages and methodology were never properly built.
Where this sits, and what it costs to fix.
Related reading, all of it free.
Read-only access to your systems, and a written report you keep either way.
Thirty minutes. Tell us what you are working on and we will tell you on the call whether we can help.
We will reach out to you shortly. If you have not heard from us by tomorrow, email hello@sapwood.io.
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