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	<title>Definition:Persistency - Revision history</title>
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	<updated>2026-04-30T16:16:03Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Persistency&amp;diff=8012&amp;oldid=prev</id>
		<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;Persistency&amp;#039;&amp;#039;&amp;#039; is a measure of how long [[Definition:Policyholder | policyholders]] keep their [[Definition:Insurance policy | insurance policies]] in force, expressed as the percentage of policies or [[Definition:Premium | premiums]] that remain active over a given period rather than lapsing, canceling, or failing to renew. In [[Definition:Life insurance | life insurance]] and [[Definition:Health insurance | health insurance]], persistency is tracked as a [[Definition:Lapse rate | lapse]]-related metric at successive policy anniversaries, while in [[Definition:Property and casualty insurance | property and casualty]] lines it is often discussed in terms of [[Definition:Retention rate | renewal retention rates]]. Either way, it reflects the stickiness of a carrier&amp;#039;s book of business.&lt;br /&gt;
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🔄 Carriers calculate persistency by dividing the number of policies (or premium volume) still in force at the end of a measurement period by the number in force at the beginning, excluding new business written during that interval. A life insurer with a 13th-month persistency of 88 percent, for example, retains 88 out of every 100 new policies through their first anniversary. [[Definition:Actuarial science | Actuaries]] embed persistency assumptions into [[Definition:Pricing | pricing]] models because early [[Definition:Lapse | lapses]] can prevent a carrier from recovering the [[Definition:Acquisition cost | acquisition costs]]—agent [[Definition:Commission | commissions]], [[Definition:Underwriting | underwriting]] expenses, medical exams—front-loaded into each policy. Distribution channels also affect persistency: business sold through trusted [[Definition:Insurance agent | agents]] with ongoing client relationships tends to persist longer than business acquired through aggressive direct-marketing campaigns.&lt;br /&gt;
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🎯 High persistency is a hallmark of a healthy, profitable insurance operation. When policies remain on the books, the carrier benefits from a growing base of earned [[Definition:Premium | premium]], improved [[Definition:Loss ratio (L/R) | loss ratios]] as portfolios season, and stronger [[Definition:Embedded value | embedded value]] in life insurance contexts. Conversely, deteriorating persistency can signal product mispricing, poor customer experience, or competitive displacement—each requiring a different strategic response. [[Definition:Insurtech | Insurtech]] companies increasingly deploy [[Definition:Predictive analytics | predictive analytics]] and engagement tools to identify at-risk policyholders before they lapse, turning persistency management into a data-driven discipline. Regulators, too, monitor persistency as an indicator of market conduct; unusually low rates may suggest [[Definition:Mis-selling | mis-selling]] or replacement churning by agents seeking fresh commissions.&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:Lapse rate]]&lt;br /&gt;
* [[Definition:Retention rate]]&lt;br /&gt;
* [[Definition:Acquisition cost]]&lt;br /&gt;
* [[Definition:Embedded value]]&lt;br /&gt;
* [[Definition:Policy renewal]]&lt;br /&gt;
* [[Definition:Customer lifetime value]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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