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	<title>Definition:Attrition rate - Revision history</title>
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	<updated>2026-05-02T21:16:30Z</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;Attrition rate&amp;#039;&amp;#039;&amp;#039; in insurance describes the pace at which policyholders leave a book of business — whether through non-renewal, cancellation, or lapse — over a given period. Sometimes called the churn rate, it is a critical performance metric for [[Definition:Insurance carrier | carriers]], [[Definition:Managing general agent (MGA) | MGAs]], and [[Definition:Insurance broker | brokers]] because the cost of acquiring a new policyholder typically far exceeds the cost of retaining an existing one. While the term appears in many industries, insurance attrition carries distinct nuances: it can reflect voluntary departures driven by competitive [[Definition:Premium | pricing]] elsewhere, involuntary non-renewals initiated by the [[Definition:Underwriting | underwriter]] to shed unprofitable risks, or passive lapses where customers simply fail to pay [[Definition:Renewal premium | renewal premiums]].&lt;br /&gt;
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🔄 Measuring attrition requires careful segmentation. A [[Definition:Personal lines | personal lines]] auto insurer in the United States might track annual policy retention rates by state and distribution channel, while a [[Definition:Commercial lines | commercial lines]] [[Definition:Property insurance | property]] book managed through [[Definition:Lloyd&amp;#039;s of London | Lloyd&amp;#039;s]] could monitor retention at the [[Definition:Binding authority agreement | binder]] level across renewal cycles. The calculation itself is straightforward — the number of policies not renewed divided by the total eligible for renewal — but interpretation demands context. An attrition rate of fifteen percent may be acceptable in a highly commoditized market segment where price comparison platforms drive switching behavior, yet alarming in a [[Definition:Specialty insurance | specialty]] segment where relationships and tailored coverage are expected to generate loyalty. Sophisticated carriers and insurtechs deploy [[Definition:Predictive analytics | predictive analytics]] and [[Definition:Machine learning | machine learning]] models to identify policyholders at elevated risk of departure, enabling preemptive retention interventions such as targeted pricing adjustments, enhanced service outreach, or mid-term policy reviews. In markets like Japan, where long-term [[Definition:Life insurance | life insurance]] contracts are common, lapse-driven attrition carries additional regulatory and [[Definition:Reserving | reserving]] implications that differ from the annual-renewal dynamics typical of [[Definition:General insurance | general insurance]].&lt;br /&gt;
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📊 Controlling attrition is a lever of outsized strategic importance because its effects compound over time. A modest improvement in retention — even two or three percentage points — can materially enhance the [[Definition:Loss ratio | loss ratio]] of a portfolio, since retained policyholders are already underwritten and tend to generate lower [[Definition:Acquisition cost | acquisition costs]] at renewal. For [[Definition:Insurtech | insurtech]] firms and [[Definition:Digital distribution (insurance) | digital distributors]] building scale, high early-stage attrition can erode the unit economics underpinning growth projections and make it difficult to attract [[Definition:Private equity | investor]] confidence. [[Definition:Reinsurance | Reinsurers]] also pay attention to cedant attrition patterns, as rapid turnover in the underlying book can alter the risk profile of a [[Definition:Treaty reinsurance | treaty]] in ways that historical [[Definition:Loss experience | loss experience]] may not capture. Ultimately, attrition rate sits at the intersection of underwriting discipline, customer experience, and distribution strategy — making it one of the most watched operational metrics in the industry.&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 rate]]&lt;br /&gt;
* [[Definition:Customer lifetime value (CLV)]]&lt;br /&gt;
* [[Definition:Renewal rate]]&lt;br /&gt;
* [[Definition:Acquisition cost]]&lt;br /&gt;
* [[Definition:Predictive analytics]]&lt;br /&gt;
* [[Definition:Lapse rate]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
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