Pipeline velocity is the rate at which deals move through your sales pipeline, measured in revenue per unit time. It’s the single best composite metric for the health of a B2B sales motion because it captures volume, win rate, deal size, and cycle time in one number.
The formula
Pipeline Velocity = (# of opportunities × win rate × average deal size) / sales cycle length
A team with 100 open opportunities, 25% win rate, $50K average deal size, and a 60-day cycle produces $20,833 of velocity per day, or roughly $625K of expected revenue per month from current pipeline.
Why it’s the best composite metric
Each input is a real lever:
- Opportunities ↑ → more lead generation, better conversion from MQL to SQL
- Win rate ↑ → better qualification, stronger objection handling, better fit
- Deal size ↑ → upmarket motion, multi-product attach, longer contracts
- Cycle time ↓ → faster sales process, fewer stakeholders, stronger urgency
A team optimizing only win rate can hide a deteriorating cycle time. Pipeline velocity surfaces the trade-off.
How to instrument it
You need clean data on the four inputs. In HubSpot or Salesforce: opportunity count and average deal size are direct queries; win rate requires that you mark closed-lost opportunities consistently; sales cycle length is opportunity-created-to-closed-won duration.
Most RevOps teams track velocity weekly at the segment level (by ICP, segment, AE) and monthly at the company level. Big swings in any one input deserve investigation; the composite number itself is the headline.
Common pitfalls
- Stale opportunities inflate the count. If your team doesn’t close-lose stalled deals, opportunity count drifts up while velocity drifts down. Enforce a 30-or-60-day no-activity auto-close.
- Win rate denominators differ. Some teams compute win rate on closed deals only; others on all opportunities (including open). Pick one and document it.
- Cycle time is a median, not a mean. A few year-long enterprise deals will skew the mean. Use median for the velocity calculation; track P90 separately.
Related
- Forecast accuracy — the close-rate dimension of velocity
- ICP — the segmentation dimension
- RevOps tech stack — the tools to instrument it