Tool landscape

Sales forecasting tools, and the input that decides everything.

A tool reads your pipeline and applies a method. If two reps stage the same deal differently, the method runs on noise.

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What each one is for

ClariThe established leader for forecast management and pipeline inspection.Built for formal process
BoostUpSimilar ground with activity and engagement signals feeding the call.Newer, lighter footprint
Gong ForecastStrongest where conversation data is already central.Needs Gong adoption first
Salesforce nativeFree with the licence and enough for many mid market teams.Once stages mean something
WeflowFocused on pipeline hygiene and submission.Hygiene first, forecast second
A spreadsheetUnfashionable and often correct under fifty deals a quarter.As long as history is real
Where this ends up

A forecast is a roll up. A score is per deal.

Kaypo scores each open deal on what the buyer is doing, so the roll up has something underneath it other than rep confidence.

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Questions

What is a realistic forecast accuracy?

Within five to ten percent at the quarter is reasonable for a mid market B2B motion with clean stages. Below that usually points at definitions.

Do we need a forecasting tool?

Under about fifty deals a quarter, usually not. Conversion history by stage and agreed exit criteria get most of the way there.

Why is our forecast always wrong?

Most often stages that mean different things, close dates nobody maintains, and no conversion history to weight against.

Want to talk it through?

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