Metrics · Sales Pipeline · CRM Strategy
What is weighted pipeline value, and how is it different from raw pipeline value?
The short answer
Weighted pipeline value multiplies each open deal's value by its stage's win probability, then sums the results — so a $50,000 deal at a 20% stage counts as $10,000. Raw pipeline value just adds up every open deal at full price. Weighted value gives a far more realistic read on what's actually likely to close.
Two reps each have $500,000 in open pipeline. One’s deals are mostly sitting in early discovery calls; the other’s are mostly in contract review. Raw pipeline value says they’re tied. Weighted pipeline value says something very different — and it’s the number a sales leader should actually trust.
What is weighted pipeline value?
Weighted pipeline value multiplies each deal’s dollar amount by the win probability assigned to its current pipeline stage, then adds those figures together. A CRM typically assigns a default probability per stage — say 10% for a new opportunity, 50% at proposal, 80% at contract sent — though many teams tune these based on their own historical win rates. A $100,000 deal at the 50% stage contributes $50,000 to the weighted total, not the full $100,000.
How is it different from raw pipeline value?
Raw pipeline value is simple: add up the value of every open deal, regardless of how close any of them are to closing. It’s useful as a top-line measure of how much opportunity a rep or team is working, but it treats a deal that just entered the pipeline the same as one about to be signed. Weighted value corrects for that by discounting each deal according to how likely it is to actually close, which is why it tracks much closer to real revenue outcomes than raw totals do.
Why does it matter for forecasting?
Weighted pipeline is one of the standard inputs into sales forecasting — alongside rep-level judgment and historical close rates — because it turns a pile of open deals into a single number that approximates expected revenue. It’s not a perfect predictor on its own (stage probabilities are averages, and any individual deal might close or die regardless of its stage), but it’s a far better starting point than raw pipeline for deciding whether a team is on track to hit quota.
What should you do next?
Check whether your CRM’s stage probabilities reflect your team’s actual historical conversion rates, or whether they’re still set to generic defaults nobody has touched since setup. If a stage’s real close rate is 30% but the CRM assumes 50%, every weighted forecast built on it will run optimistic — worth fixing before you rely on the number.
Keep reading
Sales Pipeline · CRM Strategy
What is a sales pipeline review, and how often should you run one?
What is a sales pipeline review? A recurring meeting where a manager and rep walk open deals in the CRM to test whether the stage and forecast are real.
Sales · CRM Strategy
What is deal splitting (split credit) in a CRM, and when do you use it?
What is deal splitting (split credit) in a CRM, and when do you use it? Dividing a single deal's revenue credit between two or more reps.
CRM Strategy · Sales
What is a loss reason in a CRM, and why should you track it?
What is a loss reason in a CRM? A required field capturing why a deal was lost, so pipeline reviews reveal patterns instead of just outcomes.
CRM Strategy · Sales
What is white space analysis in a CRM?
What is white space analysis in a CRM? Mapping what an account could buy but hasn't, using account hierarchy and purchase data to find expansion gaps.