Reduce information gaps and optimize hit rates by using multiple financial data sources. 

The commercial insurance marketplace is incredibly diverse, and traditional financial data may not provide all the information carriers need to rate accurately. To stay competitive, you may need to leverage a wide range of data sources to capture the most accurate view of risk.

LexisNexis® Attract™ for Commercial Scoring Suite helps develop a clearer view of commercial risks by offering access to multiple predictive loss models, including FCRA and non-FCRA options. These models incorporate scores for businesses, business owners and commercial drivers. While many carriers use commercial credit scores when underwriting, these scores and models are designed to help predict insurance risk, not financial risk.

Developed over five years using more than $19 billion in policy premiums, the suite’s proprietary predictive scoring models use policy and loss data to rank risks by loss ratio and/or frequency. Carriers can use these models to help make segmented, automated, data-driven decisions, helping them identify and acquire targeted risks and improve profitability.