Average Deal Size

Average Deal Size is the average monetary value of closed deals over a specific period, calculated by dividing total revenue from closed deals by the number of deals closed. This fundamental sales metric serves as a critical indicator of your sales team’s ability to secure high-value opportunities and directly impacts revenue forecasting, territory planning, and quota setting decisions.

A higher average deal size typically indicates your team is successfully targeting enterprise clients, upselling effectively, or positioning premium solutions, while a lower average deal size might suggest a focus on volume sales or smaller market segments. Understanding how to calculate average deal size and applying the average deal size formula helps sales leaders identify trends in deal value and adjust strategies accordingly.

Average Deal Size works in tandem with other key sales metrics like Opportunity Win Rate and Deal Velocity to provide a complete picture of sales performance. When analyzed alongside Pipeline Value and Win Rate by Deal Size, it reveals whether your team should focus on closing more deals or increasing individual deal values. For deeper insights, explore Average Deal Size using your Salesforce data or conduct Deal Size Trend Analysis to track changes over time.

The average deal size formula is straightforward and essential for understanding your sales performance:

Formula:
Average Deal Size = Total Revenue from Closed Deals ÷ Number of Closed Deals

The numerator (Total Revenue from Closed Deals) represents the sum of all deal values that were successfully closed during your measurement period. This data typically comes from your CRM system and should include only deals marked as “Closed Won” or equivalent status.

The denominator (Number of Closed Deals) is the count of individual deals that reached closure during the same timeframe. This ensures you’re measuring the average value per transaction, not per customer or per time period.

Worked Example

Let’s calculate the average deal size for a SaaS company’s Q1 performance:

Step 1: Identify closed deals and their values

• Deal A: $15,000
• Deal B: $8,500
• Deal C: $22,000
• Deal D: $12,500
• Deal E: $18,000

Step 2: Sum the total revenue
Total Revenue = $15,000 + $8,500 + $22,000 + $12,500 + $18,000 = $76,000

Step 3: Count the deals
Number of Deals = 5

Step 4: Apply the formula
Average Deal Size = $76,000 ÷ 5 = $15,200

Variants

Time-based variants include monthly, quarterly, or annual calculations. Monthly calculations help identify short-term trends, while annual figures smooth out seasonal fluctuations and provide strategic insights.

Revenue type variants distinguish between gross deal value (total contract value) and net deal value (after discounts or returns). For subscription businesses, you might calculate based on Annual Contract Value (ACV) rather than one-time payments.

Segmentation variants break down average deal size by customer segment, sales rep, product line, or geographic region to identify performance patterns and optimization opportunities.

Common Mistakes

Including partial or pending deals in your calculation skews results downward. Only count deals with “Closed Won” status to ensure accuracy.

Mixing time periods occurs when deal close dates and revenue recognition dates don’t align. Use consistent date criteria—either when the deal was signed or when revenue was recognized.

Ignoring outliers can distort your average. A single large enterprise deal might inflate your average deal size unrealistically. Consider calculating both mean and median values to get a complete picture of your deal size distribution.

While it’s natural to want benchmarks for average deal size, context matters significantly. These benchmarks should guide your thinking and help you understand where you stand relative to peers, but they shouldn’t be treated as strict targets to hit at all costs.

Average Deal Size Benchmarks

Sources: Industry estimates from OpenView, SaaS Capital, and ChartMogul benchmarking reports

Understanding Benchmark Context

These benchmarks help you develop intuition about whether your deal sizes are reasonable for your market position. If you’re significantly below or above these ranges, it’s worth investigating why. However, remember that metrics exist in tension with each other—optimizing one often impacts others.

The Metric Interaction Effect

Consider how average deal size connects to other key metrics. If you’re pushing to increase deal sizes by moving upmarket to enterprise customers, you might see your sales cycle length increase and win rates initially decrease as your team learns to navigate more complex buying processes. Conversely, if you’re seeing deal sizes drop, it might indicate you’re successfully expanding into a broader market segment, potentially improving overall growth velocity even if individual transaction values decline.

The key is monitoring these metrics holistically rather than optimizing average deal size in isolation.

When your average deal size starts declining, it’s often a symptom of deeper sales and market dynamics at play. Here’s how to diagnose what’s driving the drop:

You’re closing smaller, less qualified deals
Look for increased volume of low-value opportunities in your pipeline alongside declining Pipeline Value. If your sales team is under pressure to hit numbers, they might be rushing smaller deals to close rather than nurturing larger opportunities. This creates a false sense of activity while eroding deal value.

Market pressure is forcing price concessions
Check if your Win Rate by Deal Size shows declining performance in higher-value segments. When competitors undercut pricing or economic conditions tighten, prospects demand discounts. You’ll see longer sales cycles for larger deals and increased objections around price during negotiations.

Your sales process is attracting the wrong prospects
Examine lead sources and qualification criteria. If marketing is generating high volumes of unqualified leads, sales teams waste time on prospects who can’t afford premium solutions. This dilutes focus from high-value opportunities and skews your average downward.

Deal velocity is prioritized over deal value
Review your Deal Velocity trends. Teams focused on fast closes often sacrifice deal size for speed, especially near quarter-end. This shows up as compressed sales cycles but smaller average values.

Product mix has shifted toward lower-value offerings
Analyze which products or service tiers are driving most closures. If customers are downgrading or choosing basic packages over premium solutions, your average deal size will naturally decline even with strong sales performance.

Understanding why your average deal size is dropping helps you target the right fixes to improve deal value and restore revenue growth.

Qualify prospects more rigorously upfront
Implement stricter qualification criteria using frameworks like BANT or MEDDIC to filter out smaller opportunities early. This prevents your team from wasting time on low-value deals that drag down your average. Track qualification conversion rates by deal size tier to validate that stricter criteria actually improve deal quality without killing volume.

Bundle products and services strategically
Instead of selling individual solutions, create value-driven packages that address multiple customer pain points. Analyze your customer data to identify which products are commonly purchased together, then proactively present these combinations. Use cohort analysis to compare deal sizes before and after implementing bundling strategies to measure impact.

Target higher-value market segments
Examine your closed deals by industry, company size, or use case to identify which segments naturally produce larger deals. Reallocate prospecting efforts toward these high-value segments while maintaining conversion rates. Track Win Rate by Deal Size across different segments to ensure you’re not just chasing larger deals that never close.

Implement value-based selling methodology
Train your team to sell business outcomes rather than features. Document the specific ROI your solution delivers for different customer profiles, then use this data to justify premium pricing. A/B test different pricing presentations to see which approaches yield higher deal values without hurting close rates.

Analyze deal progression patterns
Use your existing sales data to identify at which stages smaller deals typically get stuck or accelerate. Look for patterns in Deal Velocity by deal size to understand whether larger deals just take longer or if there are systematic bottlenecks. This analysis often reveals specific coaching opportunities or process improvements that can help deals grow during the sales cycle.

Stop calculating Average Deal Size in spreadsheets and losing valuable insights in manual processes. Connect your data source and ask Count to calculate, segment, and diagnose your Average Deal Size in seconds—no formulas required.