Usage-based insurance changed the conversation about what a risk signal actually is.
Before telematics, auto underwriters priced on proxies — age, credit, zip code. These are correlated with loss but do not directly measure driving behavior. Telematics replaced proxies with observations, and the results were dramatic for carriers willing to act on the data.
The broader lesson for underwriters across all lines: the closer your risk signal is to the actual behavior you are insuring, the more accurate your pricing will be. This is not a new insight, but data availability is making it actionable in ways it never was before.
Commercial property, marine, and even specialty lines are beginning to see sensor and IoT data that can do for their segments what telematics did for personal auto. Underwriters who learn to interpret behavioral data now will have a durable pricing advantage over those who wait.
The era of proxy-based underwriting is giving way to observation-based underwriting. The underwriters who adapt earliest will write better business at better margins.
#Underwriting #UsageBasedInsurance #Telematics #InsurTech #RiskPricing