Guide · Sales Performance

Commit to a number you can defend.

A practical method for building a pipeline forecast from buyer evidence and your own history, so the number you commit to survives scrutiny.

Free guide

Cover of Forecast with evidence.

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Six short chapters and a printable worksheet. Free, in a PDF you can keep.

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What you will learn

  1. A forecast is a promise, and most are built on opinion

    Why the usual number cannot be checked, and what evidence-based forecasting changes.

  2. A stage should record what the buyer did, not what the rep feels

    Stage definitions with exit rules that two different reps would apply the same way.

  3. Weight stages with your own history, not borrowed percentages

    How to calculate stage-to-stage conversion from your own closed deals.

  4. Ask five questions of every deal that carries your number

    Buyer, need, decision path, date and next step, asked of any deal.

  5. Forecast in a range and say what would move it

    Commit, likely and upside tiers, plus the events that shift the range.

  6. A weekly review changes behaviour and accuracy shows if it worked

    A review agenda that drives action, and an accuracy log that improves the method.

Questions

Straight answers before you download.

A pipeline forecasting guide for revenue leaders.

Send me the guide
  • Six short chapters on building a forecast from buyer evidence, plus a worksheet that produces stage definitions, your own conversion history, a deal inspection template, a range statement, a review agenda and an accuracy log.

  • Leaders at B2B companies who must commit to a revenue number and do not trust the one their pipeline report gives them.

  • No. The method works from a list of your closed deals. A CRM that records stage history makes the work faster, but the decisions come first.

  • No. Those rates depend on your buyers and your deals, so the guide shows you how to calculate your own from closed deals.

Get the guide

Six chapters and one worksheet. Then decide what to fix first.

You will be able to build a forecast from evidence: stage definitions tied to buyer actions, weights taken from your own closed deals, a five-question deal inspection, a range with named triggers, and a weekly review that tracks its own accuracy.

Send me the guide