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	<title>Definition:Retention rate - Revision history</title>
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	<updated>2026-04-30T01:39:16Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<title>PlumBot: Bot: Creating new article from JSON</title>
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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;Retention rate&amp;#039;&amp;#039;&amp;#039; measures the percentage of [[Definition:Policyholder | policyholders]] or [[Definition:Premium | premium volume]] that an insurer, [[Definition:Managing general agent (MGA) | MGA]], or [[Definition:Insurance broker | broker]] successfully renews from one policy period to the next. Often expressed as a simple ratio — policies renewed divided by policies eligible for renewal — it is one of the most closely watched performance indicators in the insurance business because it reflects customer satisfaction, pricing competitiveness, and the durability of an insurer&amp;#039;s book of business.&lt;br /&gt;
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🔄 Calculating retention rate sounds straightforward, but meaningful analysis requires nuance. Companies may track it at the policy count level, the premium level, or both, and the two can diverge significantly when renewal pricing changes. A carrier might retain 90% of its policies by count but only 85% of its premium if the accounts that leave are larger. Segmenting retention by [[Definition:Line of business | line of business]], distribution channel, customer size, and geography reveals where attrition concentrates. Advanced [[Definition:Insurtech | insurtech]] platforms apply [[Definition:Predictive analytics | predictive analytics]] and [[Definition:Machine learning | machine learning]] to flag policies at risk of non-renewal weeks before expiration, giving [[Definition:Underwriter | underwriters]] and [[Definition:Insurance agent | agents]] time to intervene with revised terms or enhanced service.&lt;br /&gt;
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💡 High retention rates compound profitability over time. Renewing policyholders carry lower acquisition costs, generate richer historical data for [[Definition:Pricing | pricing]] refinement, and tend to produce better [[Definition:Loss ratio | loss ratios]] as adversely selected risks gradually leave the book. A one- or two-percentage-point improvement in retention can have an outsized impact on an insurer&amp;#039;s [[Definition:Expense ratio | expense ratio]] and long-term growth trajectory. Conversely, deteriorating retention often serves as an early warning of competitive displacement, service failures, or mispriced coverage. [[Definition:Rating agency | Rating agencies]] and investors increasingly treat retention as a proxy for franchise strength, and it features prominently in strategic reviews and [[Definition:Mergers and acquisitions (M&amp;amp;A) | M&amp;amp;A]] due diligence.&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:Retention]]&lt;br /&gt;
* [[Definition:Renewal rate]]&lt;br /&gt;
* [[Definition:Policyholder]]&lt;br /&gt;
* [[Definition:Loss ratio]]&lt;br /&gt;
* [[Definition:Customer lifetime value]]&lt;br /&gt;
* [[Definition:Predictive analytics]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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