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🎯 '''Pricing accuracy''' measures how closely an insurer's [[Definition:Premium | premium]] charges align with the actual [[Definition:Loss cost | loss costs]] and expenses that ultimately emerge on a given [[Definition:Policy | policy]], segment, or [[Definition:Book of business | book of business]]. In an industry where the product is sold before its true cost is known, the gap between predicted and realized losses defines an insurer's [[Definition:Underwriting profitability | underwriting profitability]] — making pricing accuracy one of the most consequential capabilities a carrier or [[Definition:Managing general agent (MGA) | MGA]] can develop.

⚙️ Achieving high pricing accuracy requires a feedback loop that connects [[Definition:Actuarial science | actuarial]] rate-making, [[Definition:Underwriting | underwriting]] judgment, and [[Definition:Claims | claims]] outcome data. [[Definition:Generalized linear model (GLM) | Generalized linear models]], [[Definition:Machine learning | machine learning]] algorithms, and increasingly granular [[Definition:Data enrichment | data enrichment]] from third-party sources allow insurers to segment risk more finely than traditional class-based rating could achieve. [[Definition:Insurtech | Insurtech]] startups have pushed the frontier further with [[Definition:Telematics | telematics]] in [[Definition:Auto insurance | auto]], IoT sensors in [[Definition:Property insurance | property]], and real-time behavioral data in [[Definition:Health insurance | health]]. After each [[Definition:Policy period | policy period]], actual-to-expected analyses compare projected [[Definition:Loss ratio | loss ratios]] against observed results, and deviations feed back into model recalibration.

📈 When pricing is accurate, an insurer can grow confidently without inadvertently attracting [[Definition:Adverse selection | adverse selection]] or leaving margin on the table. Poor pricing accuracy, by contrast, triggers a destructive cycle: underpriced segments attract disproportionate volume, overpriced segments hemorrhage renewals to competitors, and the resulting portfolio skew erodes the [[Definition:Combined ratio | combined ratio]]. [[Definition:Regulatory | Regulators]] also have a stake — persistent mispricing in personal lines can trigger rate filing rejections or market conduct scrutiny. In a competitive landscape where even basis-point improvements in segmentation translate to millions in profit, pricing accuracy has become a strategic battleground among carriers and the technology providers that serve them.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Actuarial science]]
* [[Definition:Loss ratio]]
* [[Definition:Adverse selection]]
* [[Definition:Generalized linear model (GLM)]]
* [[Definition:Rate filing]]
* [[Definition:Underwriting profitability]]
{{Div col end}}

Definition:Pricing accuracy - Revision history

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