Including a telematics-based score in your rating plan can improve your ability to more accurately segment driver risk down to the individual level, leading to premium prices that better align with individual loss propensity. However, a rating is only as good as the effectiveness of the scoring model from which it is derived.
To get a clearer picture of risk, you need a robust and sophisticated scoring model that draws from the right data sources to give you the information you need.
Download the white paper to discover four critical factors to predict risk more accurately in using telematics data:
- Factor 1: Does the telematics model leverage robust and credible telematics data?
- Factor 2: Is the telematics model designed to complement other rating factors?
- Factor 3: Are the telematics attributes―and overall score―reasonable and consistent?
- Factor 4: Does the telematics model include coverage-specific performance insights and rating factors?