Average policy premium — the profit-density score.

Average premium — written premium divided by active policy count — converts a weak metric into a meaningful one. A 5,000-policy book can be strong or weak depending on what those policies represent, and density tells you which. The operating economics follow: servicing 5,000 small personal-lines policies costs more in aggregate than servicing 500 large commercial policies at equivalent premium, because service cost scales more with policy count than with premium — and the same pattern holds for producer allocation, administrative load, and renewal processing. Density also correlates with margin, since higher premium per policy supports more producer time and relationship depth per account, while low-density books rely on volume and scale efficiency to reach equivalent margins.

§ 01 · How to calculate itFive related views.

Density analysis is several related metrics that together paint the picture. Aggregate average premium — total premium over policy count — is a useful first number but often misleading because it averages across lines with very different profiles. Average premium by line of business is the actionable version, comparing density to line-specific benchmarks. Average commission per policy folds in commission-rate variance, so a higher-premium-but-lower-rate policy can yield less than expected. Revenue per account — using unique accounts, not policies, so a commercial client with three policies counts once — is the driver for commercial agencies. And median alongside average matters because a single large commercial policy can pull the average up; calculating both distinguishes a consistently dense book from one where a few outliers inflate the picture.

§ 02 · The benchmark bandsBy agency type.

When a target's average premium falls materially outside the band for its type, the variance deserves a close look — it may reflect a valuable specialty niche, or a mismatch between the agency's presentation and its actual operating profile. Five factors drive the variance: line-of-business mix (the dominant one), client-size profile within a line (a small-commercial book of sole proprietors differs from one of $10M-revenue manufacturers), product mix within lines (umbrella adds density), geographic distribution (Florida homeowners premium far exceeds Iowa's), and carrier placement rate differentials.

§ 03 · How density connects to marginFour patterns.

The patterns inform both the operational read and the valuation model. The other side of density is volume economics — what happens as the book grows. Volume-driven growth (more policies at similar density) lifts revenue and service cost proportionally, leaving margin roughly flat; density-driven growth (moving upmarket to larger policies) lifts revenue with only modestly higher service cost, expanding margin; mix-driven growth (shifting toward higher-density products) achieves the same without moving upmarket in client size. For a buyer, the question isn't only what density the target has today, but what density it can support post-close — a small-commercial book on a buyer's commercial platform may access density-improving product expansions the standalone agency couldn't.

§ 04 · Density and concentrationThe amplifier.

Retention interacts with density in a way that matters for valuation: higher-density books, particularly middle-market commercial, rely on fewer, larger relationships, so losing one meaningful client moves revenue more than losing one client in a low-density personal-lines book — the variance of revenue impact per retention event is higher. Lower-density books offset this with volume, absorbing substantial individual attrition without moving revenue, because the portfolio is naturally diversified by count. This is precisely why client-concentration analysis matters more for high-density commercial agencies than for low-density personal-lines ones: the density profile amplifies or muffles the concentration risk. For sellers, density is a pre-listing lever — rounding out personal-lines accounts with umbrella, moving small-commercial clients upmarket, or adding specialty products to existing accounts all lift density and, with it, the valuation, provided the policy data is clean and segmented by line so the buyer's diligence conversation is fast rather than conservative.

◆