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	<title>Definition:Renewal retention rate - Revision history</title>
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	<updated>2026-05-04T12:43:43Z</updated>
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		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;📊 &amp;#039;&amp;#039;&amp;#039;Renewal retention rate&amp;#039;&amp;#039;&amp;#039; is a key performance metric in insurance that measures the proportion of existing policies or premium volume that an insurer, [[Definition:Managing general agent (MGA) | MGA]], or [[Definition:Insurance broker | broker]] successfully retains when those policies come up for renewal. Unlike simple policy count, retention can be expressed in terms of premium value — capturing not just whether a policyholder stayed, but whether the full economic relationship was preserved. The metric is tracked across virtually every line of business, from [[Definition:Personal lines | personal lines]] motor and homeowners to complex [[Definition:Commercial lines | commercial lines]] and [[Definition:Specialty insurance | specialty]] portfolios, and its calculation may differ depending on whether mid-term cancellations, endorsement adjustments, or partial renewals are included.&lt;br /&gt;
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⚙️ Calculating renewal retention rate involves comparing the book of business eligible for renewal in a given period against the portion that actually renewed. A simple formula divides renewed [[Definition:Gross written premium (GWP) | gross written premium]] by the expiring premium of policies that were up for renewal. In practice, the calculation demands careful data handling: insurers must decide whether to count policies that renewed with significantly altered terms, whether to include rate-driven premium changes, and how to treat multi-year policies. Sophisticated carriers segment retention by [[Definition:Distribution channel | distribution channel]], geography, customer tenure, and [[Definition:Loss ratio (L/R) | loss ratio]] band, because aggregate retention can mask deterioration in profitable segments. [[Definition:Insurtech | Insurtech]] platforms increasingly apply [[Definition:Predictive analytics | predictive analytics]] to flag at-risk renewals before expiry, enabling targeted interventions such as personalized pricing, proactive claims follow-up, or enhanced service touchpoints.&lt;br /&gt;
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💡 Retention sits at the heart of profitable growth because acquiring new policyholders is significantly more expensive than keeping existing ones, and a mature, retained book typically carries better [[Definition:Underwriting | underwriting]] results than freshly written business. High renewal retention rates signal strong customer satisfaction, competitive pricing, and effective [[Definition:Claims management | claims management]] — all of which compound over time into lower [[Definition:Expense ratio | expense ratios]] and more predictable [[Definition:Loss reserve | reserves]]. Conversely, slipping retention often serves as an early warning that a competitor has gained a pricing or service advantage, or that [[Definition:Policyholder | policyholders]] are dissatisfied with claims experiences. Regulators and [[Definition:Rating agency | rating agencies]] increasingly view retention trends as indicators of franchise durability, and investors in [[Definition:Insurance-linked securities (ILS) | insurance-linked securities]] or insurance equity scrutinize retention when assessing the quality of an underwriting portfolio.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Gross written premium (GWP)]]&lt;br /&gt;
* [[Definition:Loss ratio (L/R)]]&lt;br /&gt;
* [[Definition:Customer lifetime value (CLV)]]&lt;br /&gt;
* [[Definition:Policy renewal]]&lt;br /&gt;
* [[Definition:Lapse rate]]&lt;br /&gt;
* [[Definition:Expense ratio]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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