Deal Size Growth is a critical performance indicator that reflects the effectiveness of sales strategies and customer engagement.
It directly influences revenue generation, operational efficiency, and overall financial health.
By tracking this KPI, organizations can make data-driven decisions that align with strategic goals.
A growing deal size often signals successful upselling and cross-selling efforts, while stagnation may indicate market challenges.
Monitoring this metric enables businesses to forecast revenue more accurately and optimize resource allocation.
Ultimately, it serves as a leading indicator of future business outcomes.
Deal Size Growth sits in one KPI group in this dataset: Key Account Management, a 53-member set built around key account teams balancing revenue growth against retention and account health. Its priority rank there is 14, which puts it just outside the group's top-8 headline cluster of Sales Growth (priority 1), Customer Retention Rate (2), Customer Lifetime Value (CLV) (3), Profit Margin per Key Account (4), Sales Conversion Rate (5), Win Rate (6), Churn Rate (7), and Average Order Value (AOV) (8). That placement, 14th of 53, is a meaningful signal on its own: this is not one of the metrics the group treats as a primary diagnostic, that role belongs to Sales Growth and Customer Retention Rate, but it still ranks in the front quarter of the full member set, ahead of the great majority of KPIs the group tracks. Read plainly, Deal Size Growth functions as a secondary revenue-quality lens that sharpens what Sales Growth already shows, rather than a standalone headline metric.
Its balanced scorecard placement is financial, and financial-perspective metrics in this taxonomy tend to be outcome measures rather than early warning signals: Deal Size Growth reports what already closed, so it lags the behaviors, prospecting mix, discounting discipline, deal qualification, that actually produce it.
The clearest tension sits with Win Rate, a customer-perspective metric ranked sixth in the same group. A team can push Deal Size Growth up simply by shifting pipeline toward fewer, larger opportunities, chasing whales instead of a broad book of deals. That same shift mechanically drags Win Rate down, since larger deals typically carry longer cycles, more stakeholders, and lower close probability. A group dashboard that shows rising average deal size next to falling win rate is not necessarily a success story, it may just be a sign that the team re-weighted its funnel toward harder, bigger bets. Average Order Value, ranked eighth, measures something close enough to Deal Size Growth that the two should move together directionally, so if they diverge it is worth checking whether one is being computed on a different population of deals than the other.
The underlying data lives in the CRM's opportunity object: closed-won records with a value field and a close date. An honest join pulls every closed-won opportunity in a period, not a filtered subset, and anchors periods to the same fiscal calendar the rest of the revenue reporting uses, otherwise the 'previous period' comparison silently shifts.
The first fork a team has to resolve is average versus median. This dataset's own sources split on that point, and it is not a stylistic choice: a handful of enterprise deals in one quarter can swing an average sharply even when the underlying book of business is flat, while a median stays put. A second fork is deal-level versus account-level construction. Some external sources compute this off annual contract value per customer rather than value per closed opportunity, a key account with three expansion deals in one quarter looks different under each method, and a team should decide which one they are reporting before comparing quarter to quarter, not after. A third fork is company-size or segment banding. If the book of business spans small and large accounts, blending them into one average deal size figure hides whether growth is coming from bigger accounts buying more or from a shift in which accounts are closing at all.
Segmentation by deal type matters more than almost anything else here: new-logo deals and expansion or upsell deals to existing key accounts behave differently, and blending them means a burst of upsell activity can masquerade as new-business momentum. Segmenting by account tier is the second priority, since a single large renewal can dominate a small book.
On instrumentation, watch for multi-year contracts logged as one lump total-contract-value figure in some periods and annualized in others, that alone can produce a 'growth' number that reflects a change in booking convention rather than deal economics. Watch also for heavy discounting recorded net in the CRM in some records and gross in others, and for renewals quietly included in the same opportunity pool as new business, which changes what population the growth rate is actually describing without anyone changing the formula.
Many organizations misinterpret deal size growth as a standalone success metric, overlooking its context within broader financial ratios.
Enhancing deal size growth requires a multifaceted approach that focuses on customer engagement and strategic pricing.
We have 5 relevant benchmarks in our benchmarks database.
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | average | mixed | 2023 | 4.2 million opportunities across 530 companies | B2B | 530 companies; 4.2 million opportunities |
Source: Subscribers only
Source Excerpt: Subscribers only
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | US dollars | $10–20 million ARR | 2023 vs 2024 | private B2B SaaS companies | SaaS | over 1,000 respondents (study total) |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | US dollars | $3–5 million ARR | 2023 vs 2024 | private B2B SaaS companies | SaaS | over 1,000 respondents (study total) |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | US dollars | median | mixed | 2025 survey; previous year | private B2B SaaS companies | SaaS | over 1,000 respondents |
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Source Excerpt: Subscribers only
Formula: Subscribers only
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | US dollars | median | mixed | 2022; 2023; 2024E | SaaS companies (survey respondents) | SaaS | 62 respondents |
Browse the Top Benchmarked KPIs in Key Account Management
Five sources feed this page, and none of them define 'average deal size' the same way, which matters more than any of them individually.
Ebsta and Pavilion report an average across a broad, opportunity-level population spanning hundreds of B2B companies and millions of individual opportunities in a single year. That is a bottom-up, deal-by-deal average: every closed opportunity counts once, regardless of which account it came from, so accounts that close many small deals can pull the figure in a different direction than accounts that close one very large deal.
SaaS Capital contributes three separate cuts from the same underlying study, and the differences between them are the real story. Two of the three are segmented by annual recurring revenue band, one at a smaller-company band, one at a larger-company band, while the third pools a mixed range of company sizes into a single median. Even within one publisher, the metric type shifts between an unlabeled figure (most likely an average) and an explicitly stated median, and the comparison window shifts too, from one year-over-year pairing to a separate survey-year-over-prior-year pairing. A reader who quotes 'the SaaS Capital number' without specifying which cut they mean is not actually citing anything precise.
KBCM and Sapphire Ventures diverge on population as much as on math. Their sample is a much smaller panel of survey respondents rather than a large pull of live opportunity data, spans a multi-year window that includes an estimated, not-yet-closed year, and, notably, is the only source in this set that publishes its formula outright: annual contract value derived from total recurring revenue divided by customer count. That is an account-level, revenue-per-customer construction, not a deal-level, value-per-closed-opportunity construction. It answers a related but distinct question from the one this KPI's own formula asks, since a single customer can carry multiple deals or expansions that a per-opportunity average would count separately.
Before trusting any external deal size figure a customer finds online, the real due-diligence questions are: is the number opportunity-level or account-level, is it an average or a median, what company-size band produced it, and does the comparison window mix actual results with forecasted ones. None of the five sources here answer all four questions the same way.
The Key Account Management group's own OKR material names Deal Size Growth directly. Under the objective 'Accelerate revenue growth from strategic clients through focused sales execution,' the group sets Deal Size Growth as a key result alongside raising Sales Growth, raising Sales Conversion Rate, and shortening Time to Close. The stated logic is that a wider win funnel and a faster close compound with a larger average deal to grow revenue three ways at once, and a customer building an OKR for this KPI should treat it as one leg of that same push rather than a target to chase alone.
The group's best-practice notes add a caution worth carrying into that OKR: they pair Customer Lifetime Value with Customer Health Score specifically to keep revenue growth from outrunning account health. A team writing a key result to expand Deal Size Growth by some target it sets for itself this cycle should pair it with a retention or health metric from the same group, not track it in isolation, since a strategy of pushing bigger deals onto accounts that are not ready for them is exactly the kind of growth this group's own guidance is written to guard against.
This KPI is associated with the following categories and industries in our KPI database:
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Several factors contribute to deal size growth, including customer engagement strategies, pricing models, and market conditions. Understanding these elements allows businesses to adapt their approaches effectively.
Utilizing a reporting dashboard that integrates sales data and customer insights is essential. Regularly reviewing these metrics enables timely adjustments to sales strategies.
Yes, deal size growth is often considered a lagging metric, as it reflects past sales performance. However, it can also serve as a leading indicator when analyzed alongside other KPIs.
Evaluating deal size growth quarterly is generally sufficient for most organizations. However, more frequent assessments may be beneficial in rapidly changing markets.
Absolutely. Larger deals typically lead to improved margins, contributing positively to overall profitability. This metric is crucial for understanding financial health.
Customer feedback is vital for identifying areas of improvement in products and services. Leveraging this feedback can enhance value propositions and drive larger deals.
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