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Leveraging Auto Policy Analytics to Stay Ahead of the Competition
Unlock predictive behavior at quote to drive profitable growth in a rapidly shifting insurance landscape.
This is the third post in a series sharing insights from our 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.

With Verisk’s Coverage Verifier Analytic Objects (CVAO), dozens of actionable analytic objects enable use cases that can enhance quoting-engine customer experience and profitability.
Innovative auto policy history analytics act as unique lenses and yield deeper, more meaningful insights that can be harnessed in multiple ways.

CVAO quickly delivers diverse insights, providing insurance-ready analytics that seamlessly integrate with minimal demand for IT resources.
Here’s how insurers can act immediately on this newly available information:
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Risk management Determine appropriate bind channel, diversify the application process to verify questionable eligibility data, and fast-track qualified leads. |
New business eligibility Capture facts related to eligibility criteria such as length of prior continuous insurance, prior limit history, and number of address changes. |
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Pricing and tiering Leverage CV data and analytics to help power tiering, surcharging, and discounting decisions while aligning the rate with the risk. |
Payments and lifetime value Negate nonpayment and reinstatement cycles with appropriate down payments and facilitate profitable growth via better retention and lifetime value analysis. |
Harness the power of CVAO to help solve intricate industry challenges. Policy history analytic objects are building blocks for solving nuanced problems. Precisely defined objects from targeted insight domains can be combined to help discern risk, develop rating factors, and tailor workflows with adjustable lookback periods.
Here’s the value this expanded solution set offers.

Amid record shopping and carrier-switching, are you doing enough to capture sustainable, profitable new business? Explore how tomorrow’s loyal customers are already showing they’re ready to be won, if you know where to look.
Read the previous series post: “Analytic Objects Are the Next Evolution of Auto Risk Segmentation"
Read the next series post: "Future of Auto Insurance Risk Segmentation: Industry Leader Insights"
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Unlock predictive behavior at quote to drive profitable growth in a rapidly shifting insurance landscape.
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Personal auto insurers can tap into policy analytics to steer around industry roadblocks, modernize buying, and boost competitiveness.
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Innovative personal auto insurance policy history insights yield deeper, more meaningful insights that can be harnessed in multiple ways
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With assumptions about policyholder retention increasingly challenged, auto insurance leaders need to find new ways to microsegment risk.