Deal Velocity

Deal velocity is the average number of days an opportunity spends in pipeline between creation and closed-won. It answers a question every VP of Sales asks at the start of every quarter: how fast does money turn from a logo on a list into cash in the bank? A 47-day deal velocity means a deal opened on January 1 closes, on average, on February 17. RevOps teams track deal velocity by segment, by deal size, and by stage — because the average across an entire pipeline is usually a lie hiding two distributions glued together.

How Deal Velocity Is Calculated

The base formula is straightforward:

Deal Velocity (days) = Sum of (Close Date − Created Date) for all closed-won deals / Number of closed-won deals

A more useful cut is per-stage velocity — the average days a deal spends in each pipeline stage before advancing. That decomposition is where bottlenecks surface.

Deal velocity is distinct from sales velocity, which is a revenue formula combining velocity, win rate, deal size, and opportunity count into a dollars-per-day output.

A Worked Example

A mid-market SaaS company closed 240 deals last quarter. Summed cycle time across all 240 deals: 14,160 days. Deal velocity: 59 days. RevOps then segments: deals under $25k ACV have a 31-day velocity; deals over $100k ACV have a 94-day velocity. The blended 59-day number was useless for forecasting — a deal created on day 30 of a 91-day quarter has a 50/50 shot of closing in-quarter if it's a $20k deal, and effectively zero shot if it's a $150k deal.

The same company finds that the Procurement stage has a median of 18 days but a 90th percentile of 67. Forty-one days of variance live in legal redlines on the MSA. That is a deal velocity problem solved not by the AE but by Legal.

When Sales Teams Use Deal Velocity

VPs of Sales use deal velocity to size pipeline. If average velocity is 60 days and the quarter has 90 days left, deals created today can still close; deals not yet created cannot. RevOps teams use per-stage velocity to find the stage where deals get stuck — the answer is almost never Discovery and almost always Procurement or a late-stage technical review. Finance uses deal velocity to model bookings cadence and predict when cash converts.

Hiring managers use deal velocity to set realistic ramp time: a new AE selling a product with a 90-day deal velocity cannot be expected to book in their first 90 days no matter how good they are, because the first deal they touch on day one cannot legally close before day 91.

Common Deal Velocity Gaming Patterns

The first gaming pattern is opportunity laundering. A rep loses a deal at 80 days, marks it closed-lost, then re-opens an identical opportunity the next quarter with a fresh creation date. The CRM records the new opportunity as a 12-day deal that closed fast. The rep's deal velocity looks brilliant. The customer was in pipeline for 92 days.

The second is stage-jumping. Reps skip a deal from Discovery directly to Proposal once a verbal commit lands, compressing apparent velocity per stage. The deal still took 60 days; it just spent 50 of them tagged as Discovery and zero in Demo.

The third is the cherry-pick close. Small, fast deals get prioritized at quarter-end while larger strategic deals slip — pulling deal velocity down artificially while deal slippage climbs on the deals that actually move the number. A team can hit 32-day average velocity and miss quota by 28% in the same quarter. The metric in isolation is noise; paired with win rate and average deal size, it tells you where the pipeline actually breaks.