Average Deal Size

How to calculate average deal size

Formula: Total revenue from closed-won deals / Number of closed-won deals = Average deal size

Example: Your team closed 40 deals last quarter totaling 800,000 in revenue. Average deal size is 20,000.

That number is accurate as a measure of what happened. Whether it's useful for planning depends on what's inside it.

What distorts the average:

One enterprise deal can pull the mean significantly higher than the deals that make up 80% of your pipeline. If your team closed 38 deals at 10,000 each and 2 deals at 210,000 each, the average is 20,000 but the median is 10,000. The median better represents the deal the rep will actually close.

High-variance deal size often signals the team is selling to two different buyer profiles simultaneously. Enterprise reps working alongside commercial reps in the same pool skew the number.

Discounts and multi-year deals distort the figure depending on how you count. A 3-year deal worth 120,000 counted at full contract value looks very different from the same deal counted at 40,000 in year-one ACV.

What average deal size tells you and what it doesn't

Useful for:

Setting quota targets. If the average deal is 20,000 and a rep needs to hit 400,000 in the year, the target is roughly 20 deals. That's a concrete number to work backward from.

Pipeline coverage modeling. If the average deal is 20,000 and you need 200,000 from the pipeline this quarter, you need 10 deals in late stage assuming 100% close rate, which you don't have. Adjust upward based on your actual stage-by-stage conversion rates.

Prioritizing deal focus. Deals significantly below average deal size warrant a hard look at whether the resources they consume match the return. Deals significantly above average may need different handling: more stakeholders, longer cycles, formal procurement.

Not useful for:

Coaching individual reps. "Your deals are coming in below average" tells the rep nothing actionable. What's dragging the number down? Are they discounting too early? Selling to the wrong company size? Winning with the wrong product line? Average deal size is a symptom, not a diagnosis.

Measuring rep quality. A rep who closes small deals quickly and consistently might generate more total revenue per quarter than a rep who closes fewer large deals with longer cycles. Average deal size alone doesn't capture velocity.

Average deal size by segment and what it reveals

Segmenting average deal size by company size, industry, region, or rep shows you where the variance is coming from and what to do about it.

Company size. Mid-market deals should have a higher average than SMB deals and lower than enterprise deals. If your mid-market average is the same as your SMB average, reps aren't expanding scope in mid-market conversations. That's a discovery problem.

By rep. Rep-level average deal size variance is the most useful coaching signal the metric produces. A rep consistently closing at 60% of team average deal size in the same segment isn't just having bad luck. Something in their qualification, their demo, or their negotiation is leaving value on the table.

By industry. Industry-level deal size benchmarks help you prioritize verticals. If fintech deals average 2x what retail deals average at similar deal count, the allocation of prospecting time should reflect that.

How average deal size connects to pricing conversations

The pricing conversation is one of the highest-stakes moments in any deal. A rep who has internalized the team's average deal size and their own deal size track record comes into pricing negotiations with a calibrated sense of where the deal should land.

Discounting below the average deal size on a deal that started in the normal range means the rep either failed to build sufficient value or caved to pressure they could have managed. Both are coaching opportunities.

Deals that close above average deal size often do so because the rep surfaced additional use cases, expanded scope into additional teams, or negotiated better on multi-year terms. Understanding which of those drove the premium helps replicate it.

How Sales Copilot connects to deal size outcomes

Deal size is largely set during discovery and negotiation. Deals that close below potential almost always have a discovery gap: the rep didn't surface the full scope of the problem, didn't identify all the stakeholders who benefit, or didn't establish the business impact needed to justify full-price commitment.

Sales Copilot by Cluely AI addresses the live discovery and negotiation moments. When the buyer asks something on a live discovery or negotiation call, Sales Copilot puts one answer on screen, drawn from the Playbook and the brief and materials the rep prepared: a line to say, up to two supporting points and, when useful, a question to ask back, such as one that explores scope, additional use cases or the impact that anchors pricing conversations later. If the rep attached the approved discount thresholds and key value points, the answer can draw on them.

Frequently asked questions

What is average deal size?

Average deal size is the mean revenue value of all closed-won deals during a given period. You calculate it by dividing total revenue from closed deals by the number of deals closed. Sales managers use it to set quotas, model pipeline coverage, and evaluate which segments to prioritize.

How do you calculate average deal size?

Divide total revenue from closed-won deals by the number of deals. If your team closed 800,000 in revenue across 40 deals in a quarter, the average deal size is 20,000. Use median deal size alongside the average to account for outliers that skew the mean.

What is a good average deal size?

There's no universal benchmark. Average deal size depends on your market segment, product price point, and sales motion. The more useful question is whether your average deal size is trending up or down over time and whether individual reps are closing above or below the segment average for the same buyer profile.

How does average deal size affect quota setting?

Quota targets are often built by taking the expected number of deals per period and multiplying by average deal size. If your average deal is 20,000 and a rep is expected to close 20 deals per year, their annual quota is 400,000. Errors in the average deal size assumption cascade directly into quota accuracy.

Why do reps close deals below average deal size?

Common causes: discounting to overcome objections instead of addressing them, not surfacing the full scope of the buyer's problem in discovery, or selling to buyers who don't have budget for the full solution. Rep-level deal size variance by segment is the clearest signal of which cause applies.