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📈 '''Claims experience''' is the historical record of [[Definition:Insurance claim | claims]] activity associated with an individual [[Definition:Policyholder | policyholder]], a group, a [[Definition:Line of business | line of business]], or an entire [[Definition:Insurance portfolio | portfolio]] over a defined period. It captures both the [[Definition:Claims frequency | frequency]] and [[Definition:Claims severity | severity]] of losses and serves as one of the most influential inputs in [[Definition:Underwriting | underwriting]], [[Definition:Pricing | pricing]], and [[Definition:Reserving | reserving]] decisions across the insurance industry. An applicant's claims experience often dictates whether coverage will be offered, at what [[Definition:Premium | premium]], and under what terms.

🔄 Insurers compile claims experience data from their own [[Definition:Claims management system | claims management systems]] and, in many markets, from shared industry databases such as the [[Definition:Comprehensive Loss Underwriting Exchange (CLUE) | CLUE]] report in personal lines or [[Definition:Loss run | loss runs]] requested from prior carriers. [[Definition:Actuary | Actuaries]] analyze this data to identify trends — whether [[Definition:Claims frequency | claim frequency]] is increasing in a given region, whether certain [[Definition:Coverage | coverage]] types are producing outsized losses, or whether specific risk characteristics correlate with adverse outcomes. The analysis feeds directly into [[Definition:Experience rating | experience rating]] models, which adjust premiums up or down based on how a particular risk's actual loss history compares to expected norms.

🎯 Reliable claims experience data is the foundation on which sound insurance pricing is built. Without it, [[Definition:Underwriter | underwriters]] are essentially flying blind, forced to rely on industry averages or subjective judgment that may not reflect the true risk profile. Poor or incomplete experience data can lead to [[Definition:Adverse selection | adverse selection]], mispriced [[Definition:Insurance policy | policies]], and deteriorating [[Definition:Loss ratio (L/R) | loss ratios]]. As data analytics and [[Definition:Predictive modeling | predictive modeling]] capabilities advance, carriers are able to draw deeper insights from claims experience — segmenting results by peril, geography, and policyholder behavior to refine risk selection with unprecedented granularity.

'''Related concepts'''
{{Div col|colwidth=20em}}
* [[Definition:Experience rating]]
* [[Definition:Claims frequency]]
* [[Definition:Claims severity]]
* [[Definition:Loss run]]
* [[Definition:Actuarial analysis]]
* [[Definition:Adverse selection]]
{{Div col end}}

Definition:Claims experience - Revision history

PlumBot: Bot: Creating new article from JSON