Sales & Marketing

Sales Pipeline Tracker

Manage your sales pipeline effectively with our comprehensive tracking and forecasting template

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A pipeline number is only as good as its stage definitions. This template ties each stage to an objective entry criterion and weights the forecast by observed conversion, not by how a deal feels.

What the worksheet looks like

The actual columns, with sample rows

Pipeline sheet with weighted value derived from historical conversion.
ABCDEFG
1DealStageValueProb.WeightedClose
2Meridian – platformProposal48,00045%21,6002026-09-30
3Kestrel – migrationDiscovery22,50015%3,3752026-10-15
4Halcyon – rolloutNegotiation91,00070%63,7002026-08-29
5Ardent – pilotQualified15,00025%3,7502026-11-01

The formulas that do the work

Why each one is written the way it is

  • =VLOOKUP([@Stage],Stages[[Name]:[Prob]],2,FALSE) Stage probability from a table derived from your own win history, not from the rep's confidence.
  • =[@Value]*[@Prob.] Weighted value. Summed across the pipeline this is a forecast; summed without weighting it is a wish list.
  • =COUNTIFS(Hist[Stage],[@Stage],Hist[Outcome],"Won")/COUNTIFS(Hist[Stage],[@Stage]) The stage probability itself, recalculated from closed history each quarter so the forecast stays calibrated.
  • =SUMIFS(Deals[Weighted],Deals[Close],">="&QStart,Deals[Close],"<="&QEnd) Weighted forecast for the quarter, the number to commit to.

Recalibrating the stage probabilities

A worked example with real numbers

A team used textbook probabilities — 25/50/75 across three stages — and missed forecast for four quarters running. Recomputing from two years of closed deals gave 15/45/70, and proposal-stage conversion in particular was far worse than assumed. The pipeline number fell 18% overnight and the forecast has been within 8% every quarter since.

What is in the workbook

Tab by tab

Every tab in the workbook and what it is for.
TabContents
DealsDeal, stage, value, probability and close date.
StagesStage definitions with entry criteria and conversion rates.
HistoryClosed deals, the source of the probabilities.
ForecastWeighted forecast by period and owner.
READMEEntry criteria for each stage, in writing.

Features and related templates

What is included, and what to look at next

What it does

  • Deal tracking by stage
  • Revenue forecasting
  • Win probability calculation
  • Activity logging
  • Pipeline velocity metrics
  • Sales team performance

Need it adapted?

  • Built around your own data and column names
  • Connected to your source system
  • Delivered within 24 hours

Questions about this template

Specific to this workbook, not generic

Where should stage probabilities come from?

Your own closed-won history, recalculated quarterly. Standard 25/50/75 numbers are a placeholder until you have enough deals to compute your own — usually 30 or so per stage.

How do I stop stage inflation?

Objective entry criteria. "Proposal" means a written proposal has been sent, not that one is planned. Without that, every stage drifts upward and the forecast inflates with it.

Should I forecast on weighted or committed deals?

Both, as two numbers. Weighted is the statistical expectation across the pipeline; committed is the list of deals the rep will stake their quarter on. They should converge as the quarter closes.

"This pipeline tracker has transformed our sales process. The forecasting accuracy and insights have helped us exceed our targets consistently."

- James L., Sales Manager