A.M. Best Company

03/12/2026 | Press release | Distributed by Public on 03/12/2026 06:01

AM Best to Host Webinar on Smarter Insurance Risk Segmentation Through Data

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MARCH 12, 2026 07:50 AM (EDT)

AM Best to Host Webinar on Smarter Insurance Risk Segmentation Through Data

CONTACTS:

Lee McDonald
Senior Vice President, Publication & News Services
+1 908 882 2102
[email protected]

FOR IMMEDIATE RELEASE

OLDWICK - MARCH 12, 2026 07:50 AM (EDT)
AM Best will host a complimentary webinar, titled, "Breaking the 'Set-It-and-Forget-It' Mindset: Smarter Insurance Risk Segmentation Through Data," sponsored by LexisNexis Risk Solutions, on Thursday, April 16, 2026, at 2:00 p.m. (EDT). Register today.

Traditional credit-based scores alone are no longer enough to drive effective insurance risk segmentation. To remain competitive and reduce adverse selection, insurers must adopt more dynamic, data-driven approaches.

This webinar will explore how combining credit and public records data can sharpen segmentation strategies, support profitable growth and promote more inclusive underwriting. Join our panel for practical insights and real-world examples of how modern data solutions are helping insurers make better, fairer decisions.

Panelists include:

Attendees can submit questions during registration or by emailing [email protected]. Playback will be available shortly afterward. Those unable to attend the live webinar can still register to receive the playback to view at their convenience.

AM Best is a global credit rating agency, news publisher and data analytics provider specializing in the insurance industry. Headquartered in the United States, the company does business in over 100 countries with regional offices in London, Amsterdam, Dubai, Hong Kong, Singapore and Mexico City.
A.M. Best Company published this content on March 12, 2026, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on March 12, 2026 at 12:01 UTC. If you believe the information included in the content is inaccurate or outdated and requires editing or removal, please contact us at [email protected]