
This is the final post in a series sharing insights from Verisk’s white paper, Auto Policy History Analytics: The Future of Risk Segmentation. Amid record-setting shopping behavior with few signs of slowing, the white paper features analysis and innovations to unlock predictive policy insights at Rate Call 1 to drive profitable, sustainable growth.
The percentage of new business in personal auto industry books has surged by four percentage points in just two years, and the 12-month churn rate—the percentage of policyholders switching carriers—has nearly doubled since 2021.1 With carrier switching at an all-time high, how can insurance leaders gain a competitive edge?
Insurers that modernize with policy history analytics have a better chance to thrive in the face of unprecedented competition. Here’s what one industry leader has to say about today’s competitive environment and the future of auto risk segmentation:
"With assumptions about policyholder retention increasingly challenged, auto insurance leaders need to find new ways to accurately price micro-segments of submissions. Applying advanced analytic methods to policy history has real promise to contribute to the creation of competitive and accurate quotes."
- Donald Light, Director, Celent
As illustrated in the 60-second video below, many insurers struggle to identify predictive policy insights at the point of quote. Now, with Coverage Verifier Analytic Objects (CVAO), auto insurance leaders can unlock critical insured-, driver-, and policy-level insights through dozens of concise, easy-to-consume analytics. CVAO can help refine segmentation, sharpen underwriting and rating, and support risk development, eligibility decisions, payment requirements, and more.