From Advanced Attributes to Predictive Insurance Scoring

Small businesses represent a significant growth opportunity for commercial insurance carriers, but underwriting these risks can be challenging. Many small businesses have limited traditional commercial credit history, making it difficult to gain a complete view of risk through business-level data alone.

Watch our on-demand webinar to learn how non-FCRA public records data, business owner insights and predictive scoring can help carriers enhance segmentation, improve risk selection and support more confident underwriting decisions. You will also gain an introduction to the enhanced LexisNexis® Attract™ for Commercial Business Owner Model and its expanded predictive attribute capabilities.

LexisNexis® Attract™ for Commercial is a suite of predictive insurance scoring solutions designed to help commercial insurance carriers better assess risk and predict future insurance loss using commercial credit, public records and other predictive data sources.

Discover how broader insights can help improve risk evaluation, strengthen underwriting strategies and support profitable growth.

How to Rate and Underwrite Commercial Risk More Accurately

What makes small commercial risk difficult to assess?

Small businesses represent a significant opportunity for growth, yet many have limited or no traditional commercial credit history. Learn why conventional approaches may not provide a complete view of risk and how broader business owner insights can help support underwriting decisions.

How can non-FCRA business owner data strengthen risk assessment?

Discover how non-FCRA public records data can provide additional perspective into business owner risk. Learn how broader, insurance-focused data sources can enhance segmentation strategies and help carriers evaluate risk with greater confidence.

How can predictive scoring support better risk selection?

Explore how predictive scoring can help identify patterns that may not be apparent through traditional underwriting methods alone. Learn how predictive analytics can support risk selection, help mitigate adverse selection and contribute to more consistent underwriting outcomes.

What is new in the Attract for Commercial Business Owner Model?

Get an introduction to the enhanced LexisNexis® Attract™ for Commercial Business Owner Model and learn how predictive scoring, approximately 160 predictive attributes and retrospective testing opportunities can help improve small business risk evaluation. 

Webinar Key Takeaways

• Why traditional business credit data may not provide a complete view of small commercial risk.
• How business owner insights can help strengthen commercial underwriting decisions.
• The role of non-FCRA public records in commercial risk assessment.
• How predictive scoring can support segmentation, risk selection and underwriting efficiency.
• How retrospective testing can help carriers assess potential business impact before implementation.

What are predictive attributes?

The enhanced model includes approximately 160 predictive attributes that can support deeper risk analysis, model development and underwriting strategy evaluation.

Can carriers test the model before implementation?

Yes. Retrospective testing can help carriers evaluate model performance against historical policy data to better understand segmentation, score banding and potential business impact.