What Average Deal Size Means
Average deal size (ADS) is the mean revenue per closed deal over a period, found by dividing total closed-won revenue by the number of deals closed. It is one of the most-used inputs in revenue planning. Quota planning and pipeline coverage both rest on an assumption about what a typical deal is worth, so an ADS that is off by 20% throws every downstream number off with it. The metric looks trivial to compute. The trap sits in which average you use and which deals you count.How to calculate average deal size
The formula is simple:
Average Deal Size = Total Closed-Won Revenue / Number of Deals ClosedIf your team closed $2M across 25 deals last quarter, ADS is $80,000. Calculate it separately for new business and expansion. The two move independently, and a rising blended number can hide new-business deals that are shrinking.
Mean versus median: the number that deceives
The word "average" hides a trap. ADS is usually reported as the mean, and the mean is dragged upward by a few large deals. One $500,000 deal in a quarter of $30,000 deals pushes the mean far above what a typical rep closes.
Report the median next to the mean. The median is the deal in the exact middle, and outliers do not move it. When the mean sits well above the median, your revenue leans on a small number of large deals. If one or two of them slip, the quarter breaks even though the average looked healthy. Track both numbers over time and watch the gap between them.
Average deal size in pipeline coverage math
ADS is where deal economics meet pipeline coverage. Coverage assumes every open opportunity is worth its recorded value, and that assumption breaks in a predictable direction: the average deal size in your pipeline is almost always higher than the average deal size of what actually closes.
ORM sees this pattern constantly. A pipeline carries an average deal size of $80,000 while closed-won deals average $40,000. Most deals close for less than the value recorded in the CRM. Run coverage math on the inflated pipeline figure and a 4x ratio is really closer to 2x once deals settle at their true value.
Build coverage on your historical closed-won ADS, not the optimistic number sitting in open opportunities. Then pressure-test it. A new competitor creating pricing pressure, or a shift toward smaller accounts, drives ADS down and quietly erodes the coverage you thought you had.
Frequently Asked Questions
How do you calculate average deal size?
Divide total closed-won revenue by the number of deals closed in the period. Calculate it separately for new business and expansion, since expansion deals often carry very different values and blending them hides the trend in each.
Should you use mean or median deal size?
Track both. The mean is pulled upward by a few large deals, while the median shows the typical deal. When the two diverge widely, your revenue depends on a handful of outliers, which is a concentration risk.
Why does average deal size matter for pipeline coverage?
Coverage assumes each open deal is worth its recorded value. If your pipeline average deal size is higher than your closed-won average deal size, the coverage ratio overstates how much revenue the pipeline will actually produce.
What makes average deal size drop?
Pricing pressure from a new competitor, or discounting to pull deals forward, both drag it down. A shift in mix toward smaller accounts does the same.
Put these metrics to work
ORM builds custom revenue forecast models that turn concepts like average deal size into prescriptive action for your team.
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