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Auto Policy History Analytics: The Future of Risk Segmentation

The risk of losing policyholders to more agile competitors is rising

With $140 billion in personal auto premiums being shopped annually, harnessing predictive policy insights at quote is a defining capability of industry leaders. Achieving success requires sustainable acquisition and retention, and a traditional snapshot of data that only shows an applicant's current carrier is becoming less effective.

Unlock predictive behavioral insights

Use predictive insights at Rate Call 1 to grow profitably during peak shopping activity.

A new Verisk white paper explores actionable insights to reshape risk management, eligibility, pricing, tiering, payments, lifetime value, and more.

Download to learn more about:

  • Next-gen analytics derived from up to 7 years of policy history data
  • Data applications and ways to stay ahead of the competition
  • Two case studies, best practices, and lessons from industry leaders

auto policy history analytics white paper