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	<title>Definition:Renewal retention - Revision history</title>
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	<updated>2026-05-03T11:37:12Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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&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&amp;#039;&amp;#039;&amp;#039; measures the proportion of an insurer&amp;#039;s or intermediary&amp;#039;s existing [[Definition:Policy | policies]] that are successfully renewed at the end of their term, expressed as a percentage of either policy count or [[Definition:Premium | premium]] volume. It is one of the most closely watched performance indicators in insurance, as retaining existing [[Definition:Policyholder | policyholders]] is significantly less costly than acquiring new ones and tends to produce more predictable [[Definition:Loss ratio | loss ratios]] over time. A high renewal retention rate signals strong customer satisfaction, competitive pricing, and effective service delivery, while declining retention often serves as an early warning of deeper issues in [[Definition:Underwriting | underwriting]], distribution, or [[Definition:Claims | claims]] handling.&lt;br /&gt;
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🔄 Calculating renewal retention is straightforward in principle—divide the number of policies (or the premium amount) that renew by the number eligible for renewal during the period—but in practice, insurers must make careful distinctions. Policies that are [[Definition:Non-renewal | non-renewed]] by the carrier for [[Definition:Underwriting | underwriting]] reasons are typically separated from voluntary lapses by the policyholder, since the two have very different strategic implications. [[Definition:Insurance broker | Brokers]] and [[Definition:Managing general agent (MGA) | MGAs]] track retention at the book level to evaluate the stickiness of their distribution relationships and to fulfill reporting requirements under [[Definition:Binding authority agreement | binding authority agreements]]. Increasingly, [[Definition:Insurtech | insurtechs]] and data-driven carriers deploy [[Definition:Predictive analytics | predictive analytics]] to identify accounts at risk of non-renewal well before the [[Definition:Renewal | renewal]] date, enabling targeted outreach, re-pricing, or coverage enhancements to prevent attrition.&lt;br /&gt;
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📈 Strong renewal retention underpins the financial stability and growth trajectory of any insurance operation. From an [[Definition:Actuarial science | actuarial]] standpoint, a stable renewal book is easier to model and reserve for, since the insurer has years of [[Definition:Claims experience | claims experience]] on those risks. For investors and [[Definition:Rating agency | rating agencies]] evaluating an [[Definition:Insurance carrier | carrier]] or an MGA, consistently high retention rates suggest durable competitive advantages and reduce concerns about the cost of replacing lost business. Conversely, carriers entering a [[Definition:Hard market | hard market]] may deliberately accept some retention decline as they push through necessary [[Definition:Rate increase | rate increases]], viewing short-term attrition as a trade-off for long-term portfolio profitability.&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:Renewal]]&lt;br /&gt;
* [[Definition:Policyholder retention]]&lt;br /&gt;
* [[Definition:Loss ratio]]&lt;br /&gt;
* [[Definition:Lapse]]&lt;br /&gt;
* [[Definition:Non-renewal]]&lt;br /&gt;
* [[Definition:Predictive analytics]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
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