How to Calculate Sales Velocity Step by Step

What is the sales velocity formula?

Sales velocity equals the number of qualified opportunities multiplied by average deal size and win rate, divided by average sales cycle length in days.

``` Sales velocity = (Qualified opportunities x Average deal size x Win rate) / Sales cycle length in days ```

The output is revenue per day. That unit is what makes velocity different from the other pipeline metrics. Coverage tells you how much pipeline exists. Win rate tells you how often you convert. Velocity tells you how fast the machine turns pipeline into money, which is the number that determines whether a gap can be closed inside the period you have left.

How do you calculate each input?

Each input has one correct source, and mixing sources is the reason most velocity calculations produce a number nobody trusts. Two rules keep the calculation honest. Use closed-won values for average deal size rather than open pipeline values, because open pipeline routinely carries higher amounts than what actually closes. A pipeline averaging $80,000 per deal against closed-won deals averaging $40,000 is one example, and using the first number doubles your velocity on paper. Second, pull all four inputs from the same time window and the same segment. A win rate from enterprise and a cycle length from mid-market produce a number that describes no real motion.

What does a worked example look like?

Run the four inputs through the formula and convert the daily figure into a quarterly expectation.

Suppose a team carries 180 qualified opportunities, closed-won deals average $45,000, the win rate is 22%, and the median cycle is 74 days.

``` Sales velocity = (180 x $45,000 x 0.22) / 74 Sales velocity = $1,782,000 / 74 Sales velocity = $24,081 per day ```

Across a 90-day quarter, that motion produces roughly $2,167,000. Compare it against the quota for the same period. If the target is $2,600,000, the current motion is short by about $433,000, and now you have a specific number to close rather than a general sense that the quarter feels tight.

How do you calculate sales velocity by segment?

Split the calculation by segment, then compare, because a blended number hides the motion that is actually working. The blended view would report a single average deal size somewhere near $40,000 and a cycle somewhere near 60 days, which describes none of these three motions. The segment view shows that SMB produces the most revenue per day while enterprise produces the least, and that enterprise carries a cycle more than five times longer. Both facts change how you would respond to a mid-quarter gap. Enterprise deals started today will not land in this quarter. SMB deals will.

Run the same split by rep tenure, by lead source, and by product line. The comparison is where the metric earns its place, which is also the argument in the guide to sales velocity.

Which input moves revenue fastest?

Win rate and cycle length, because both raise the yield of pipeline you already own.

Take the worked example above. Improving win rate from 22% to 26% lifts daily velocity to $28,459, an increase of roughly 18% with no new pipeline. Cutting the cycle from 74 days to 64 lifts it to $27,844. Adding opportunities produces the same arithmetic effect, but the revenue arrives one full cycle later, which means a mid-quarter push on new pipeline mostly funds the next quarter.

Cycle length also behaves less randomly than teams assume. Opportunities can be grouped by their characteristics and each group carries a predictable close curve. In ORM models those curves run from 1 to 80 weeks, with most of the expectation landing before week 12 and very few groups showing expectation past 52 weeks. That structure means a lengthening cycle is rarely uniform. It usually traces to one group, one segment, or one stage, and that is where to look. Win rate mechanics are covered further in the win rate definition.

What breaks a sales velocity calculation?

Stale opportunities, unqualified records in the count, and averages that hide a skewed distribution.

Stale deals are the most damaging because they hit two inputs at once. They inflate the opportunity count and they stretch the cycle length. Across ORM customers, 10% or more of open pipeline has not been touched in 12 months. Exclude anything that has not shown a change in stage, close date, or amount inside your aging threshold before you calculate anything.

Averages are the second issue. If three deals in a quarter are ten times the size of everything else, the mean deal size describes none of the deals your team actually runs. Check the median next to the mean, and if they diverge sharply, calculate velocity separately for the large-deal motion.

How does sales velocity fit into the forecast?

Velocity forecasts the motion you cannot see yet, which is the part of the quarter that pipeline coverage cannot describe.

Coverage measures deals that already exist. Velocity measures the rate at which new deals are created, qualified, and closed. A quarter is built from carry-over pipeline, deals created and closed inside the quarter, and deals pulled forward from later periods. Coverage speaks to the first source. Velocity is how you put a number on the second one.

That matters most on day one of the quarter, when there is still time to act on the answer. Use velocity to size the in-quarter contribution, then check it against the pipeline you are carrying, as laid out in sales forecasting best practices.