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	<title>Definition:Pay-as-you-go insurance - Revision history</title>
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	<updated>2026-05-02T12:09:52Z</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;Pay-as-you-go insurance&amp;#039;&amp;#039;&amp;#039; is a premium structure in which [[Definition:Policyholder | policyholders]] pay for coverage based on actual, real-time or near-real-time measurements of exposure — such as miles driven, hours worked, or revenue earned — rather than fixed estimates established at [[Definition:Policy inception | policy inception]]. This approach has gained significant traction across multiple lines, most visibly in [[Definition:Usage-based insurance (UBI) | usage-based auto insurance]] and [[Definition:Workers&amp;#039; compensation insurance | workers&amp;#039; compensation]], where payroll fluctuations can make traditional annual premiums a poor match for actual risk. [[Definition:Insurtech | Insurtech]] firms have been instrumental in popularizing the model, leveraging [[Definition:Telematics | telematics]] devices, mobile apps, [[Definition:Application programming interface (API) | API]] integrations with payroll and accounting platforms, and [[Definition:Internet of Things (IoT) | IoT]] sensors to capture the granular data that makes consumption-based billing feasible.&lt;br /&gt;
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🔄 The operational mechanics vary by line of business. In workers&amp;#039; compensation, a pay-as-you-go program typically integrates with the insured employer&amp;#039;s payroll system, pulling actual payroll data each pay cycle and calculating the corresponding [[Definition:Premium | premium]] due — eliminating the large upfront deposit and the year-end [[Definition:Premium audit | audit]] adjustment that characterize conventional policies. In personal auto, carriers like [[Definition:Metromile | Metromile]] (now part of [[Definition:Lemonade | Lemonade]]) pioneered per-mile pricing, where a base rate covers the vehicle when parked and a per-mile charge applies when it is driven, tracked through an [[Definition:On-board diagnostics (OBD) | OBD]] device or smartphone. The insurer&amp;#039;s systems must handle high-frequency data ingestion, dynamic [[Definition:Rating | rating]] calculations, and flexible billing cycles — capabilities that favor cloud-native [[Definition:Policy administration system | policy administration platforms]] over legacy infrastructure.&lt;br /&gt;
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📊 For policyholders, the appeal is straightforward: they pay for what they actually use, improving cash flow and aligning cost with risk exposure. For insurers, pay-as-you-go models can reduce [[Definition:Premium leakage | premium leakage]] caused by inaccurate exposure estimates, decrease audit disputes, and attract price-sensitive customer segments that might otherwise go [[Definition:Uninsured | uninsured]]. The model also generates a continuous stream of behavioral and operational data that enhances [[Definition:Underwriting | underwriting]] precision over time. However, challenges remain — including the technology investment required to process real-time data at scale, the regulatory treatment of variable premium structures in jurisdictions with strict rate-filing requirements, and the need to ensure that low-usage policyholders still generate sufficient [[Definition:Premium volume | premium volume]] to cover fixed [[Definition:Expense ratio | acquisition and servicing costs]].&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:Usage-based insurance (UBI)]]&lt;br /&gt;
* [[Definition:Telematics]]&lt;br /&gt;
* [[Definition:Premium audit]]&lt;br /&gt;
* [[Definition:Workers&amp;#039; compensation insurance]]&lt;br /&gt;
* [[Definition:Insurtech]]&lt;br /&gt;
* [[Definition:Embedded insurance]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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