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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

Download the white paper

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Attracting future loyal customers

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Lifting profitability and risk segmentation

Optimizing quote workflows in real time

Unlocking predictive insights at quote

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