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Unlock Growth and Risk Insights with Non-Medical Information

Watch our on-demand webinar to learn how predictive models can help life insurers reduce mortality slippage and expand coverage.

Non-medical models are an important tool for underwriters

Risk segmentation for life insurance has largely been driven by medical reports, but medical reports only tell part of the story. Non-medical information, such as public records, driving history and credit, add essential insights that traditional approaches might miss. There’s a reason credit-related insights are widely used in personal auto insurance: risky financial habits correlate with riskier lifestyle behaviors.

Some life carriers underutilize non-medical models out of regulatory concerns; not understanding that a model is using non-medical information objectively and without bias. Consider this: most insurers include questions about non-medical information such as bankruptcy, criminal activity and major driving violations in their applications today. Underwriters then apply this information subjectively during the underwriting process.

Risks can be mitigated by modeling non-medical information. More importantly, non-medical models can help uncover favorable risks that traditional underwriting often overlooks — enabling better segmentation, fairer pricing and a less invasive application process that reaches more people.

In this on-demand webinar, you will learn how non-medical models can improve segmentation and mortality slippage in:

  • Underserved markets
  • Application triage
  • Accelerated programs
  • Segmentation of applicant groups with similar medical impairments

Don’t miss this opportunity to gain actionable insights and see how insights-driven strategies can transform your underwriting approach, watch now to be part of the conversation shaping the future of life insurance.

Lynnette Fredericksen

Lynnette Fredericksen 

Product Consultant, Analytics Product Management
Kevin Chalpan

Kevin Chalpan

Director, Product Management

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