Weighted Pipeline

Raw Pipeline Lies — Weighted Pipeline Tells the Truth

Raw pipeline counts every deal at face value. A $100K deal in discovery and a $100K deal in negotiation both show up as $100K. Weighted pipeline adjusts by close probability at each stage — that discovery deal at 10% probability counts as $10K, while the negotiation deal at 70% counts as $70K. The difference between raw and weighted is the difference between aspiration and reality. Uncalibrated pipelines experience 20-40% erosion from commit to close (Amolino, 2025).

Setting Stage Probabilities

Your stage probabilities should come from your own historical data, not industry defaults. Pull 4-6 quarters of closed-won and closed-lost data. For each stage, calculate what percentage of deals that reached that stage ultimately closed. Those are your actual probabilities — and they will likely differ from the 10/25/50/75/90 defaults in your CRM.

Stage	Common Default	What to Use Instead
Discovery	10%	Your historical close rate from discovery
Evaluation	25%	Your historical close rate from evaluation
Proposal	50%	Your historical close rate from proposal
Negotiation	75%	Your historical close rate from negotiation
Verbal commit	90%	Your historical close rate from verbal commit

Recalibrate these probabilities quarterly. If your mid-market evaluation-to-close rate dropped from 30% to 22% this quarter, your weighted pipeline is overstated until you update the model.

Weighted Pipeline as a Forecasting Input

Weighted pipeline is the foundation of any data-driven sales forecast. When your stage probabilities are calibrated to actual conversion data, the sum of weighted pipeline gives you a baseline revenue estimate for the period. Compare this to your quota target: if weighted pipeline is $1.5M against a $2M target, you have a $500K gap that needs to come from pipeline generation, deal acceleration, or upside overperformance. That gap analysis is what turns a pipeline coverage discussion into an action plan.

The Quality Layer on Top of Weighting

Stage-based weighting is a good start but not sufficient. Two deals in the same stage can have very different close probabilities based on engagement levels, stakeholder count, and deal velocity. Target a 70-80% pipeline health score and flag stale deals with no activity in 14+ days (Digital Bloom, 2025). Layer pipeline quality signals on top of stage-based weighting for a more accurate picture — a deal in the proposal stage with declining engagement and only one contact should be weighted lower than the default probability suggests.

Keeping Weighted Pipeline Clean

A weekly pipeline hygiene pass is non-negotiable. Review deals where close dates have passed, where time-in-stage exceeds 2x the average, or where there has been no activity in two weeks. Either re-engage these deals with a clear next step or move them to closed-lost. A smaller, accurate weighted pipeline is infinitely more useful for forecasting than a large, polluted one.