The Broker's Guide to Agency Revenue Per Employee Benchmarks

Agency revenue per employee benchmarks from the IIABA Best Practices Study and Reagan Consulting reveal a $75,000 gap between the median ($165,000) and top-quartile ($240,000+) agencies. That gap represents the efficiency difference between agencies that automate and those that staff their way through growth.

For a 12-person agency, closing half that gap adds $450,000 in revenue capacity without a single new hire. This FAQ answers the specific benchmarking questions agency owners and managers ask when evaluating their operations against industry data.

Key Takeaways

• IIABA 2025 Best Practices Study reports a median of $165,000 per employee; top-quartile agencies reach $240,000+, a 45% performance gap
• Commercial-focused agencies benchmark 15-20% higher than personal-lines-focused agencies on this metric, per Reagan Consulting 2024 data
• Revenue per employee has grown 16% since 2020, from $142,000 to $165,000, but the top-quartile gap has widened by 34% over the same period
• Geographic variation adds 10-25% to benchmarks in high-cost metros like New York City, San Francisco, and Chicago, per Bureau of Labor Statistics 2025 Regional Price Parities
• Override commissions and contingency commissions boost the metric without adding service costs or headcount
• Vertafore 2024 benchmark data shows agencies using their AMS at 75%+ feature utilization average $22,000 more per employee than agencies at under 50% utilization

Understanding Agency Revenue Per Employee Benchmarks by Source

Three organizations publish the most-cited agency benchmarks. Each uses different methodologies and sample populations.

The IIABA Best Practices Study covers 200+ independent agencies annually. It segments data by revenue band, line of business mix, geographic region, and ownership structure. The 2025 edition reports a $165,000 median across all sizes, with consistent top-quartile performance at $240,000+. IIABA data is the most widely cited because it segments by size, making peer comparisons meaningful.

Reagan Consulting publishes the Growth and Performance Standards report covering 400+ agencies. It focuses on growth rates, profitability, and producer performance alongside revenue per employee. Reagan data tends to skew toward larger agencies ($5M+) that can afford consulting relationships, which makes it more useful for mid-to-large agency benchmarking.

Vertafore publishes agency management system utilization data across 20,000+ agencies using its platform. Its 2024 data links AMS feature adoption to revenue per employee, showing a direct correlation between utilization rates and efficiency outcomes. This source is particularly useful for understanding technology adoption benchmarks.

FAQ

What is the current median revenue per employee for insurance agencies?

The 2025 IIABA Best Practices Study reports $165,000 as the median across all agency sizes. This figure includes all employees: producers, CSRs, account managers, admin staff, and management. Part-time employees count as fractional FTEs based on hours worked. Revenue includes commission income, fee income, contingency commissions, override commissions, and profit-sharing payments from carriers.

The median has grown from $142,000 in 2020, a 16% increase over five years. Much of that growth came from hard market premium increases (2022-2025) that lifted commission revenue without requiring proportional staff increases.

How do benchmarks differ by agency size?

Size creates the most significant structural variation in this metric.

Source: IIABA Best Practices Study 2025.

Larger agencies benefit from technology investments that spread across more employees, carrier volume relationships that produce override income, and management specialization that reduces overhead drag on the metric. A $10M+ agency running at $210,000 per employee gets there partly because its $50,000 AMS investment represents 0.5% of revenue rather than 5%.

Does line of business mix affect the benchmark?

Significantly. Commercial-lines-focused agencies (70%+ commercial premium) benchmark 15-20% higher than personal-lines-focused agencies, per Reagan Consulting 2024 data. Commercial policies generate higher premiums per policy ($3,800-$6,500 average versus $1,200-$1,650 for personal lines), which produces more revenue per serviced policy.

An agency with $4M in commercial premium and 18 employees ($222,000 per employee) outperforms an agency with $4M in personal lines premium and 25 employees ($160,000 per employee) despite identical revenue. The structural difference is that commercial policies require more service per account but generate 3x the premium per policy.

Agencies with mixed books should segment their benchmarking. Calculate revenue per employee for the commercial book and personal book separately to identify which line is dragging the overall metric.

How do geographic factors change benchmarks?

High-cost metros inflate premiums and therefore commissions by 10-25% compared to rural markets. A New York City agency may hit $220,000 revenue per employee while a comparable Midwest agency hits $170,000, yet both operate at similar operating margins because salaries and overhead differ proportionally.

The Bureau of Labor Statistics 2025 Regional Price Parities provide state-level cost adjustments. New York State's RPP is 115.9 (15.9% above national average), while Mississippi's is 85.3 (14.7% below). Multiply the national benchmark by the ratio of your state's RPP to 100 to get a geographically adjusted comparison.

A $165,000 national median becomes $191,000 for a New York agency and $141,000 for a Mississippi agency when adjusted for regional costs. Your actual performance should be compared to the adjusted figure, not the national number.

What drives the gap between median and top-quartile agencies?

Reagan Consulting 2024 data identifies three factors that account for 80% of the variance.

Technology adoption (35-40% of gap). Agencies using full automation stacks generate $50,000-$75,000 more revenue per employee than manual-process agencies. The gap comes from labor productivity: automated agencies handle more policies, certificates, and renewals with the same number of staff.

Producer productivity standards (25-30% of gap). Top-quartile agencies enforce $350,000+ producer revenue minimums by year three. Median agencies tolerate producers generating $150,000-$200,000, which dilutes the agency-wide average. One underperforming $150,000 producer on a 15-person team reduces the agency's revenue per employee by $5,000 compared to replacing that producer with a $350,000 one.

Service model design (15-20% of gap). Top-quartile agencies assign 200-250 policies per CSR using workload balancing. Median agencies assign by producer relationship, creating imbalanced loads where some CSRs handle 120 policies and others handle 300. The imbalanced model creates service quality problems at the high end and capacity waste at the low end.

How should agencies track this metric?

Monthly measurement against a rolling 12-month average is the standard practice among top-quartile agencies, per Reagan Consulting 2024 survey data.

Formula: Total agency revenue (trailing 12 months) divided by average FTE count (trailing 12 months).

Count part-time employees proportionally. A 20-hour per week employee counts as 0.5 FTE. Include all revenue categories in the numerator: commissions, fees, overrides, contingencies, and profit-sharing.

Track the metric by department when possible. A service department at $180,000 per employee and a production department at $350,000 per employee suggest different improvement strategies than a uniform $200,000 across both. The service department likely needs automation; the production department may need new producer hires.

How do premium trust and billing methods affect the calculation?

Premium trust accounts hold client premium before remitting to carriers. The float on agency-billed premium generates investment income that counts toward revenue. Agencies with 30-40% agency-billed premium earn $5,000-$15,000 in annual trust account interest at current rates, which modestly increases revenue per employee.

However, agency-billed premium requires more administrative work: billing, collection, trust accounting, and carrier remittance. This increases the denominator (FTE needs) while the interest income increases the numerator. The net effect on revenue per employee depends on the efficiency of the billing operation.

Direct-billed business does not generate float but reduces administrative work substantially. Direct-bill-heavy agencies often show slightly lower revenue per employee but also lower servicing costs and fewer E&O risks from billing errors. The IIABA 2025 data suggests direct-bill-heavy agencies and agency-bill-heavy agencies in the same size tier perform within 3-5% of each other on revenue per employee when properly staffed.

What is the trend direction for this benchmark?

Revenue per employee has grown 16% since 2020, from $142,000 to $165,000. Hard market conditions from 2022 to 2025 increased premiums 8-12% annually, which lifted commission revenue without requiring proportional staff additions.

The top-quartile figure has grown faster: 21% over the same period, from $198,000 to $240,000. The gap between median and top quartile has widened from $56,000 to $75,000. Agencies that invested in automation during the hard market captured revenue gains permanently. Those that added staff to handle the volume face margin pressure as rates flatten in 2026.

As the market softens, the agencies best positioned to maintain their benchmark are those with strong automation stacks, high producer productivity, and CSR capacity running at 75-85% utilization rather than 95-100%.

How do override and contingency commissions impact the benchmark?

Both income types increase revenue without adding service headcount.

Override commissions from carriers based on premium volume typically add $30,000-$100,000 annually for mid-size agencies. On a 12-person team, that is $2,500-$8,300 per employee. Overrides typically start at $1M-$2M in written premium with a single carrier, so concentrating premium with preferred carriers to hit thresholds is a direct strategy for improving the benchmark.

Contingency commissions based on loss ratio performance add $20,000-$80,000 annually. Combined, these supplemental income streams push revenue per employee up by $4,000-$15,000 without any corresponding workload increase. Agencies that actively manage client loss ratios through loss control programs and risk segmentation capture more contingency income than those that treat it as a passive benefit.

When should an agency hire versus invest in technology?

If revenue per employee is below the median for your size tier and you have capacity issues, technology investment should come first. IIABA 2025 survey data shows each dollar spent on automation generates $8-$15 in productivity gains versus $3-$5 for each dollar of additional salary.

The hiring decision makes sense when revenue per employee exceeds the median for your size tier AND existing staff operate at measurable capacity limits: CSRs managing 250+ policies, producers at $400,000+ books, and service quality metrics declining. At that point, adding headcount expands capacity in ways automation alone cannot replicate.

The mistake most agencies make is hiring when their metrics are weak and blaming it on being understaffed. Often the real problem is that existing staff are busy with tasks automation should handle.

How does Vertafore's benchmark data differ from IIABA data?

Vertafore 2024 data comes from AMS usage analytics across 20,000+ agencies. It measures technology utilization and correlates it with productivity outcomes. Key finding: agencies using their AMS at 75%+ feature utilization average $22,000 more per employee than agencies at under 50% utilization.

This is not a revenue size effect. The correlation holds within size tiers. A $3M agency using its AMS extensively outperforms a $3M agency using it minimally by $18,000-$26,000 per employee. The implication is that most agencies already own the technology they need but are not extracting full value from it.

IIABA data is better for overall benchmarking by size. Vertafore data is better for diagnosing whether technology utilization is your specific constraint.

The Practical Benchmarking Process

Benchmarking your agency requires three steps.

First, calculate your current revenue per employee using the trailing 12-month formula. Pull your total revenue from your accounting system. Count your average FTEs over the same period.

Second, identify your comparison group. Use IIABA size tier data for your revenue band. Apply the Bureau of Labor Statistics RPP adjustment for your geographic area. Note your line of business mix and adjust upward 10-15% if you are 70%+ commercial.

Third, measure your gap to the median and top quartile. The gap tells you the financial prize available from improvement. A $30,000 gap on a 10-person team is $300,000 in additional revenue potential. Prioritize the strategies that close the gap with the fastest ROI.

Written by Javier Sanz, Founder of BrokerageAudit. Last updated April 2026.

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