Sales Velocity Formula: Calculate It and Find the Weakest Lever

Follow these steps using closed data from a recent period, such as the last two quarters:

1. Count qualified opportunities created or open during the period. Use the same qualification rule every time.
2. Calculate win rate: closed-won divided by all closed opportunities (won plus lost).
3. Find average deal size across closed-won deals only.
4. Find average sales cycle length in days, from opportunity creation to close, for won deals.
5. Apply the formula: opportunities × win rate × deal size ÷ cycle length.

For example, say you have 60 opportunities, a 25 percent win rate, an average deal of $12,000 and a 60-day cycle. As an example, that's 60 × 0.25 × $12,000 ÷ 60, or $3,000 of expected revenue per day.

Run it separately for new business and expansion. Blending them hides the difference, because expansion deals tend to close faster and at higher rates.

Use outside figures as loose context, not as targets. The average B2B new-logo win rate is 19 percent¹, and the average new-business sales cycle is 91 days². The average expansion cycle is shorter, at 52 days.

Compare your own inputs against these carefully. Your product, price point and buyer type will differ from the average, and, for example, a company selling $5,000 deals to small businesses shouldn't expect a 91-day cycle. Your own trend over time is the more useful comparison: is velocity rising or falling quarter to quarter, and which lever is driving it?

Each lever has a different cost and a different risk. A useful test is to suppose each lever improved by 10 percent and see what it does to velocity:

• More opportunities: Adds volume but needs more selling time or spend, and lower quality can lower win rate.
• Higher win rate: Comes from better qualification, sharper discovery and faster follow-up. It's often the cheapest lever to improve, but it takes coaching.
• Larger deal size: Comes from packaging, pricing and selling to bigger buyers. Discounting works against it.
• Shorter cycle: Comes from removing steps and involving the decision maker earlier. Faster isn't always better if it means skipping qualification.

Because the formula multiplies the first three and divides by the fourth, for example, a 10 percent gain in any one of them changes velocity by roughly that same proportion. That's why you should pick the one that's easiest for your team to move, not the one that sounds most impressive. To shorten cycles specifically, see shortening sales cycles with the velocity formula.

Several errors can distort the result:

• Mixing segments. An enterprise deal and a small self-serve deal in one average produces a number that describes neither.
• Counting cycle time for lost deals. Use won deals only for cycle length, or measure lost deals separately.
• Letting outliers distort deal size. One unusually large contract can pull up the average. Look at the median next to it.
• Changing the qualification rule. If you started counting earlier-stage opportunities, the opportunity count and win rate both shift.
• Using too little data. With a handful of deals a quarter, the result moves a lot from random variation. Use a longer period.

Once the numbers are stable, track velocity monthly on a simple chart. A CRM such as Pipedrive can show time in each stage, and Clari can model velocity across a larger organization.

Write down your four inputs, choose one lever and set a target for one quarter. For example, say your win rate is 20 percent and you want it to reach 24 percent. That could mean tightening your qualification rule, adding a second discovery call and following up within a day of every demo. Measure the win rate again at the end of the quarter.

Then check the effect on the whole: velocity should rise if the other three inputs held steady. If it doesn't, look for what moved. The sales quota setting calculator shows how velocity connects to quota, and net revenue retention covers the existing-customer side.