Average deal size: how to measure and grow it
How to calculate average deal size correctly, why the average can mislead without the median, and how bundling, upsell, and ICP targeting grow it.
At the end-of-month meeting, the sales director puts up a slide that reads “average deal size up 18 percent,” and everyone nods along. Then someone asks: is that lift spread across dozens of deals, or did one giant account drag the average up on its own? Most of the time nobody has a clean answer, because average deal size on its own only tells half the story.
This piece covers how to calculate average deal size (sometimes called ACV) correctly, why the average can mislead and how to read it alongside the median, and then the levers — bundling, upsell, sharper ICP targeting, and discount discipline — that grow the number sustainably.
What average deal size is, and how to calculate it
The formula is simple: take the total value of deals won in a given period and divide by the number of deals won in that same period. Say you closed 20 deals in a month for a combined 600,000 in revenue; your average deal size is 30,000.
Subscription businesses usually normalize this into ACV (annual contract value): a two-year contract gets counted at its yearly rate, not as one lump sum. Otherwise a single large multi-year contract inflates that month's average to a level that isn't real.
The time window matters too. A single week is too noisy to mean much; most teams track a rolling three or twelve months instead. Decide upfront whether you're counting new business only or renewals as well — mixing the two hides the actual trend.
Why the average misleads: watch the median too
A single large deal can skew the average out of proportion. Say you closed 10 deals in a month: nine at 5,000 and one at 95,000. The total is 140,000, so the average is 14,000 — yet nine out of ten deals landed well below that number. The median, the middle value, is 5,000 here, and it reflects what a typical customer actually pays far more honestly.
It also helps not to confuse average deal size with revenue per customer. ARPU describes your whole active customer base, while deal size only describes the deals that closed in a given period; read together, the picture gets much clearer.
The average tells the story of the loudest deal in the room; the median tells the story of everyone else.
The mix effect: segment, product, channel
Because an average collapses everything into one number, it quietly blends different segments, products, and channels. Say a construction-supplies distributor's enterprise accounts sign deals averaging 80,000, while its small contractor accounts land closer to 6,000. Melting both into a single average paints an accurate picture of neither group.
The same logic applies to products and channels: one product line may be inherently smaller-ticket, while referred customers tend to close bigger, lower-friction deals. Trying to grow the average without ever splitting it by segment, product, and channel is like aiming an arrow with no target in sight.
The share of revenue coming from a handful of large deals is worth tracking on its own, too. When most of the revenue rests on very few big accounts, that raises customer concentration risk — the average climbs while the business quietly gets more fragile.
There are four main ways to grow the average: bundling, upsell and cross-sell discipline, sharper ICP targeting, and discount discipline. Let's take them one at a time.
Lever one: bundling and pricing architecture
Bundling means turning parts that used to sell separately into one coherent offer, then pricing that offer accordingly. A small workshop selling handmade candles doesn't have to sell a single candle; it can sell a gift set with a box, a card, and a scented soap alongside it — growing the basket, not the unit price.
On the B2B side this usually shows up as tiered packages: starter, growth, enterprise. Each tier needs to offer noticeably more value than the one before it, or customers simply stay on the cheapest tier and the bundling exercise grows nothing.
To be honest, bundling isn't necessary for every business. If you sell one simple product, bolting on artificial tiers creates confusion, not value. It only earns its keep when your customer base genuinely has different levels of need.
Lever two: upsell and cross-sell discipline
An upsell opportunity is usually triggered by something specific: a customer approaching a usage limit, a renewal window coming up, or a signal that their needs have changed. Building those triggers into an account manager's calendar or a CRM workflow turns upsell from “I'll call if I remember” into an actual process.
Cross-sell, by contrast, means selling a different product to the same customer. A two-person real-estate office that bought a portfolio-management module might be a good candidate for an e-signature module a few months later. That doesn't grow the size of one deal so much as it grows the customer's lifetime value — which is the number that's actually sustainable.
One caution: trying to sell everything to everyone erodes trust. An upsell pitch that doesn't line up with a real moment of growth or friction for the customer reads as pressure, not help.
Lever three: sharper ICP targeting
Customers who sit close to your ideal customer profile (ICP) tend to sign bigger, lower-friction deals, simply because your product maps directly onto a problem they actually have. Forcing a deal with someone outside that profile tends to bring a smaller contract, a longer negotiation, and heavier pressure to discount.
When the sales team spends most of its time on ICP-aligned opportunities, both average deal size and win rate tend to rise — and that pulls down customer acquisition cost as well.
A practical way to check this: group won deals by ICP-fit score and compare the average deal size of each group. The gap is usually bigger than expected.
Track your average deal size in real time
Rocketly reports deal size automatically by segment, product, and channel
Try it freeLever four: discount discipline
Discounting is the exact opposite of a growth lever for average deal size, yet almost every sales team uses it quietly. The “last-minute” discount offered to hit a quarter-end target closes the deal in the short term, but over time it drags the average down and teaches the customer that waiting a little longer gets them a better price.
Discipline doesn't mean banning discounts outright — it means making them visible and bounded: which role can approve a discount, up to what threshold, and for what reason should be written down somewhere. Tracking heavily discounted deals as their own category quickly shows which rep or which segment is bending price the most.
It also helps to watch how fast discounted deals actually move. Sometimes a discount is masking a health problem — a deal that's actually stalled. A signal like a deal health score helps separate a discount driven by real need from one driven by panic.
Tracking average deal size on an ongoing basis
A one-off calculation isn't worth much. Average and median deal size need to be tracked monthly, broken down by segment, product, and channel. Keep the tracking list short but consistent:
- Segment split: track enterprise and small-business averages separately rather than blended.
- Product split: see which package pulls the average up and which one pulls it down.
- Channel split: referral, paid, and direct sales rarely land on the same average.
- Discount rate: track heavily discounted deals as their own group, not buried in the total.
A rising average paired with a lengthening sales cycle deserves a different read than a rising average alone; bigger deals naturally take longer to close, which isn't automatically bad but needs to feed into planning. In a CRM like Rocketly, once these breakdowns turn into automatic reports, the team can answer “why did the average move” weekly instead of waiting for month-end.
Frequently asked questions
Is average deal size the same thing as ACV?
They're close but not identical: ACV usually normalizes subscription revenue to its yearly equivalent, while average deal size is a simple average of deals won in a period. If you have multi-year contracts, ACV gives a more accurate comparison.
Which matters more, median or average?
Both. The average is useful for planning total revenue, while the median shows what a typical customer actually pays. A large gap between the two usually means a handful of big deals are skewing the picture.
Is growing average deal size always the right goal?
Not necessarily. If win rate is falling while the average climbs, the team is probably chasing fewer, harder deals. Read the average alongside win rate and sales cycle length.
Do small businesses really need bundling?
Only if the customer base genuinely has different levels of need. If you sell one simple product, artificial tiers tend to create confusion rather than value.
Doesn't discounting grow the average at all?
In the moment, a discount can help close a deal and even lift volume, but systematic discounting usually drags down both the average and margin. Limited, justified discounts hold up better than default ones.
On its own, average deal size is a comforting but slippery number; read alongside the median, segment breakdowns, and discount discipline, it turns into an actual growth compass. Start small: calculate it correctly first, understand what's pulling it in each direction, then work through levers like bundling and upsell one at a time.