Your book is worth 1.5-3x annual renewal commission — but the exact multiple depends on 7 factors. Here's how to calculate fair market value with CRM data.
TL;DR
Insurance books are valued at 1.5-3x annual renewal commission. Clean CRM data increases multiples 15-25%. The 7 key factors: persistency, demographics, product mix, concentration, geography, growth, and data quality.
<h2 data-ai-block="definitive-answer">The Short Answer</h2>
<p>An insurance book of business is typically valued at <strong>1.5-3x annual renewal commission</strong>, with the exact multiple determined by 7 factors: <strong>persistency rate, client demographics, product mix, revenue concentration, geographic concentration, growth trajectory, and data quality</strong>. Books with 90%+ persistency and diversified revenue command 2.5-3x multiples. Books with sub-80% persistency and heavy concentration in one product or client sell at 1.0-1.5x.</p>
<h2>The Valuation Formula</h2>
<p><strong>Book Value = Annual Renewal Commission × Multiple</strong></p>
<table>
<thead><tr><th>Factor</th><th>Lower Multiple (1.0-1.5x)</th><th>Higher Multiple (2.5-3.0x)</th></tr></thead>
<tbody>
<tr><td>Persistency</td><td>Under 80%</td><td>90%+</td></tr>
<tr><td>Client age distribution</td><td>Heavy 65+ (attrition risk)</td><td>Spread across age groups</td></tr>
<tr><td>Product mix</td><td>Single-line (term only)</td><td>Multi-line (life, health, annuity)</td></tr>
<tr><td>Revenue concentration</td><td>Top 10 clients = 40%+ revenue</td><td>No client over 5% of revenue</td></tr>
<tr><td>Geographic spread</td><td>Single county</td><td>Multi-state</td></tr>
<tr><td>Growth trajectory</td><td>Declining 5%+ annually</td><td>Growing 10%+ annually</td></tr>
<tr><td>Data quality</td><td>Paper files, no CRM</td><td>Clean CRM with full history</td></tr>
</tbody>
</table>
<h2>How CRM Data Increases Book Value</h2>
<p>Books with clean, structured CRM data sell for <strong>15-25% higher multiples</strong> because buyers can verify every metric:</p>
<ul>
<li><strong>Persistency verification</strong> — actual retention data, not estimates</li>
<li><strong>Revenue concentration</strong> — automated analysis of client-level revenue</li>
<li><strong>Activity history</strong> — shows client engagement and relationship strength</li>
<li><strong>Pipeline value</strong> — pending opportunities transfer with the book</li>
<li><strong>Communication records</strong> — buyer can immediately continue client relationships</li>
</ul>
<h2 data-ai-block="experience-insight">Valuation in Practice</h2>
<p>Two agents with identical $200,000 annual renewal commission sold their books. Agent A had paper files and estimated 85% persistency — sold at <strong>1.8x ($360,000)</strong>. Agent B had clean CRM data proving 92% persistency, diversified revenue, and 12% growth — sold at <strong>2.7x ($540,000)</strong>. The <strong>$180,000 difference</strong> was entirely attributable to data quality and verifiable metrics.</p>
<h2>How to Value an Insurance Book of Business in 6 Steps</h2>
<ol>
<li><strong>Pull trailing-12-month commission by line.</strong> Use paid commission statements, not written premium, and separate first-year from renewal.</li>
<li><strong>Strip out non-recurring income.</strong> Bonuses, overrides on producers who are leaving, and one-time production incentives do not transfer and do not get a multiple.</li>
<li><strong>Calculate persistency per line.</strong> Policies in force today divided by policies in force 12 months ago. Below 85% costs you roughly 15% of value; above 93% adds roughly 15%.</li>
<li><strong>Apply the line multiple.</strong> Commercial P&C 2.5x–3.5x, personal lines 2.0x–2.8x, Medicare 1.8x–2.6x, life 1.5x–2.5x, final expense 1.2x–2.0x.</li>
<li><strong>Adjust for concentration and transferability.</strong> Any single client over 10% of revenue, or a book that depends on one carrier appointment the buyer cannot get, discounts 10–25%.</li>
<li><strong>Prove it with data.</strong> Buyers pay a premium for exportable CRM records: policy, effective date, carrier, commission, renewal date, and interaction history per client.</li>
</ol>
<h3>Worked Example</h3>
<p>$180,000 renewal commission, 91% persistency, Medicare-heavy multi-line book, clean CRM data: $180,000 x 2.3 x 1.0 x 1.1 = <strong>$455,400</strong>. The same book with spreadsheet records and 84% persistency: $180,000 x 2.3 x 0.85 x 0.9 = <strong>$316,710</strong>. Same revenue, $138,690 less at closing.</p>
<p>Compare against the <a href="/blog/insurance-agency-book-of-business-valuation">2026 valuation multiples by line</a>, model scenarios in the <a href="/book-growth-calculator">valuation calculator</a>, and clean up the records buyers audit with <a href="/ai-crm">unLocked CRM</a>.</p>
FAQ
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