Average Deal Size
Metric
The total value of deals closed in a period divided by the number of deals, used to turn a revenue target into a count of deals.
Why it exists
Targets arrive as money. "$150,000 this quarter." A sales team handed only a dollar figure has no way to break it into pieces. Twelve weeks sit on the calendar and a few dozen live deals sit in the system, and nothing in that picture says whether the pile is enough.
So the kickoff meeting turned into a pep talk. Grace would say the quarter is $150,000, Sofia would say the team would go after it, and two months later, with barely $75,000 booked, everyone would start asking what went short. By then there isn't enough time left to create and close new deals.
What was missing was a conversion rate between money and deals. Once you know what one deal is worth on average, $150,000 reads as twenty deals. If the win rate — the share of worked deals that end in a signature — sits near 30 percent, twenty closed deals means more than sixty have to be in the pipeline. Translate the target that way and the shortfall shows up in week three, while there is still time to act on it.
How to calculate it
Pick a period, add up the value of every deal that closed in it, and divide by the number of deals.
The calculation has three steps.
- Pick the period. A quarter is the usual choice. Too short and one large contract swings the whole number; too long and recent movement disappears into the average.
- Take only the deals marked closed-won in that period and add up their value. Closed-won means the contract was signed. Live deals stay out no matter how certain they look.
- Divide the total by the count. Pagedeck closed 24 deals last quarter worth $180,000 together, so the average was $7,500.
Two things have to be settled in advance or the number wobbles.
The first is what counts as one deal. The unit is the deal — one transaction with one customer. If the same company signs separately through two departments, decide up front whether that is one deal or two. Leave it open and the counting method drifts from quarter to quarter.
The second is which dollar figure goes in. A three-year contract at $38,000 a year has a total contract value of $114,000 and an annualized value of $38,000. The annualized version has its own name, annual contract value (ACV). Subscription businesses, which live on revenue that recurs every month, use the annualized figure by default. Use the total instead and every three-year signature jerks the average upward, throwing off next quarter's plan.
The average alone hides things. If one of twenty deals comes in at $115,000 and the other nineteen at $4,000, the average clears $9,000 while the median stays at $4,000. What this team actually does is close $4,000 deals over and over. So put the average and the median side by side, and when they pull far apart, count the outsized deals separately.
What a good number looks like
There is no absolute benchmark. Who you sell to and how you sell decide this number before anything else does. A product where individuals sign up and pay on their own runs tens of dollars per deal; the enterprise segment, selling to companies with thousands of employees, runs six figures. Ranking those two against each other means nothing.
Two comparisons do carry meaning. The first is the cost of closing one deal. If a rep costs $45,000 a year and closes 20 deals, each deal carries $2,250 of cost. An average deal size of $1,500 means the company loses money on every sale, and the way it sells has to change. That is why low-priced products are built so the buyer can finish checkout inside the product.
The second is reading it next to the sales cycle, the time from first contact to signature. Average deal size climbing from $7,500 to $22,500 looks good, but if the cycle stretched from 34 days to 150 days over the same stretch, the team closes far fewer deals per year and annual revenue drops. Deal size and deal duration tend to move together.
Watch the trend too. If the number slides quarter after quarter, check whether discounts are doing the closing. Discounted contracts fill the deal count without filling the revenue line.
How it sounds at work
"The target is $150,000 and our average deal is $7,500, so that's twenty deals. We need sixty in the pipeline."
Converting a money target into deals, then working backward through the win rate to the pipeline it takes.
"I'm against turning away small customers just to push average deal size up."
A warning that chasing large deals can shrink total revenue.
"Last quarter's average jumped because of that one enterprise deal. Strip it out and we're where we've always been."
One outlier lifted the average, so don't read it as a trend.
At Pagedeck this number opens the quarterly planning meeting. Grace states the revenue target, Sofia reads out the average deal size across the last four quarters, and the target gets translated into deals on the spot. The next question is how many live deals the team has right now.
When the two don't line up there are three moves: create more deals, make each deal bigger, or change the target. Last quarter Pagedeck took the third. Average deal size doesn't double inside one quarter, and doubling deal volume would have taken more reps to carry a share of the quota, the revenue target assigned to one individual.
What people get wrong
The most common mistake is reading a high number as a healthy company. More money per signature feels like an obvious good. But revenue comes out of four things working together: deal count, average deal size, win rate, and the time each deal takes. Decide to take only large deals and deal size rises while count falls, win rate drops, and cycles stretch — run all four together and the result often lands lower than before.
Left alone, this reshapes the organization. A team that starts declining small customers finds itself six months later with an entire quarter riding on a handful of contracts. One of those customers pushing its rollout to next quarter takes the whole quarter down with it. Before making this number a target, check whether raising it actually raises revenue.
Easily confused with
| Term | What it shows | How it differs |
|---|---|---|
| Sales velocity | How fast revenue is being produced | A higher-level metric that uses average deal size as an input. Multiply deal count, average deal size and win rate, then divide by the sales cycle |
| Average revenue per account (ARPA) | What one customer account pays on average | Counts per customer rather than per contract. The two separate as soon as one customer signs more than once |
Where to go next
- Sales pipeline
see the record this number is pulled from
- Sales cycle
the time-side metric that pairs with deal size
- Average revenue per account
the same revenue counted by customer instead
Last updated 2026-09-16