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	<title>Definition:Hit ratio - Revision history</title>
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	<updated>2026-04-29T23:32:18Z</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;Hit ratio&amp;#039;&amp;#039;&amp;#039; is a performance metric used in the insurance industry to measure the percentage of [[Definition:Quote | quotes]] or [[Definition:Proposal | proposals]] that convert into bound [[Definition:Insurance policy | policies]]. Also referred to as a quote-to-bind ratio or conversion rate, it is tracked by [[Definition:Insurance carrier | carriers]], [[Definition:Managing general agent (MGA) | MGAs]], [[Definition:Insurance broker | brokers]], and [[Definition:Underwriting | underwriting]] teams to gauge how effectively their pricing, product design, and distribution efforts translate into written [[Definition:Premium | premium]]. A low hit ratio may signal that an operation is quoting aggressively on volume but failing to win accounts, while an unusually high ratio could indicate that pricing is too soft or that the book is attracting [[Definition:Adverse selection | adverse selection]].&lt;br /&gt;
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⚙️ Calculating the hit ratio is straightforward — divide the number of bound policies by the total number of quotes issued over the same period — but interpreting it requires nuance. Different [[Definition:Line of business | lines of business]] carry different benchmarks: a specialty [[Definition:Excess and surplus lines | surplus lines]] underwriter might consider a 15–20% hit ratio healthy, whereas a personal lines [[Definition:Auto insurance | auto carrier]] quoting through a real-time [[Definition:Comparative rater | comparative rater]] may target 5–8% and still write profitably at volume. The metric is often segmented by distribution channel, [[Definition:Insurance producer | producer]], geography, or product to pinpoint where conversion is strong and where it lags. [[Definition:Insurtech | Insurtech]] platforms have made hit-ratio analysis more granular by capturing real-time data on quote interactions, declination reasons, and competitor pricing, enabling [[Definition:Predictive analytics | predictive models]] that estimate the probability of binding at the individual submission level.&lt;br /&gt;
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📊 Monitoring hit ratios closely gives leadership a window into the competitive positioning of their book. A declining ratio quarter-over-quarter might reflect [[Definition:Market cycle | market hardening]] where the carrier&amp;#039;s [[Definition:Rate adequacy | rate levels]] are outpacing competitors, or it could reveal operational friction — slow turnaround times, cumbersome application processes — that causes [[Definition:Insurance broker | brokers]] to place business elsewhere. Conversely, a rising hit ratio during a soft market warrants scrutiny: the carrier may be winning business precisely because it is underpricing risk. Sophisticated operations pair the hit ratio with [[Definition:Loss ratio (L/R) | loss ratio]] data over time, ensuring that the accounts they win are not only plentiful but profitable. For any underwriting organization seeking to balance growth with [[Definition:Underwriting discipline | discipline]], the hit ratio is an indispensable diagnostic tool.&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:Quote-to-bind ratio]]&lt;br /&gt;
* [[Definition:Underwriting]]&lt;br /&gt;
* [[Definition:Adverse selection]]&lt;br /&gt;
* [[Definition:Loss ratio (L/R)]]&lt;br /&gt;
* [[Definition:Predictive analytics]]&lt;br /&gt;
* [[Definition:Market cycle]]&lt;br /&gt;
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