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	<title>Definition:Policy persistency - Revision history</title>
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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;Policy persistency&amp;#039;&amp;#039;&amp;#039; measures the proportion of [[Definition:Insurance policy | insurance policies]] that remain in force over a given period without lapsing, being surrendered, or being cancelled by the [[Definition:Policyholder | policyholder]]. It is one of the most closely watched metrics in the [[Definition:Life insurance | life insurance]] and [[Definition:Health insurance | health insurance]] sectors, where long-duration contracts make the retention of existing business critical to profitability. A high persistency rate signals that policyholders are continuing to pay [[Definition:Premium | premiums]] and maintaining their coverage, while low persistency often indicates distribution quality problems, pricing mismatches, or customer dissatisfaction — any of which can erode an insurer&amp;#039;s financial performance.&lt;br /&gt;
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📈 Persistency is typically calculated as the number of policies remaining in force at the end of a measurement period divided by the number in force at the beginning, often expressed on a 13-month or 25-month basis for life products. [[Definition:Actuarial science | Actuaries]] build persistency assumptions into their [[Definition:Valuation | valuation]] models because the expected duration of a policy directly influences [[Definition:Reserve | reserve]] calculations, [[Definition:Embedded value | embedded value]] estimates, and [[Definition:Profit testing | profit testing]] outcomes. Under [[Definition:IFRS 17 | IFRS 17]], persistency assumptions feed into the [[Definition:Contractual service margin (CSM) | contractual service margin]] calculation, meaning that deviations from expected persistency rates flow through to reported profits. Regulatory regimes in India and several Southeast Asian markets have gone further, requiring insurers to report persistency ratios publicly as a measure of market conduct quality, linking poor persistency to potential supervisory intervention. In the United States, the [[Definition:National Association of Insurance Commissioners (NAIC) | NAIC]] tracks lapse and persistency data through its experience studies, informing [[Definition:Statutory accounting | statutory reserve]] standards.&lt;br /&gt;
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🎯 For insurers, improving persistency is not simply a retention exercise — it directly affects [[Definition:Acquisition cost | acquisition cost]] recovery, since the heavy front-loaded commissions paid to [[Definition:Insurance agent | agents]] and [[Definition:Insurance broker | brokers]] in many life insurance markets are only recouped if the policy stays in force for several years. Products that lapse early generate losses, and patterns of poor persistency can trigger [[Definition:Commission clawback | commission clawback]] provisions in distribution agreements. In [[Definition:Bancassurance | bancassurance]] channels across Europe and Asia, persistency is a key performance indicator that influences the terms of partnership agreements between banks and insurers. [[Definition:Insurtech | Insurtech]] solutions increasingly target persistency improvement through proactive engagement tools — such as automated payment reminders, flexible premium options, and behavioral nudging via mobile applications — recognizing that retaining a policyholder is almost always more economical than acquiring a new one.&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:Embedded value]]&lt;br /&gt;
* [[Definition:Contractual service margin (CSM)]]&lt;br /&gt;
* [[Definition:Policyholder retention]]&lt;br /&gt;
* [[Definition:Acquisition cost]]&lt;br /&gt;
* [[Definition:Commission clawback]]&lt;br /&gt;
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