Solving the Profitability Puzzle – Addressing Auto Insurance Quote Manipulation

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Sponsored by LexisNexis Risk Solutions

Quote manipulation can indicate higher claims risk as individuals provide incorrect information to appear less risky. Unchecked, widespread quote manipulation can lead to better customers subsidizing riskier ones, inflated premiums that drive away good customers, and greater risks of adverse selection.

New research suggests that up to 8% of new shopping events could be subject to auto insurance quote manipulation by individuals misrepresenting their garaging address. 

In this webinar, a panel of data scientists and insurance experts examine how carriers can identify garaging address mismatches to better support underwriting and profitability.

 

Moderator: John Weber, Senior Associate Editor, AM Best

Panelists:
  • Jon Atteberry, Director, Data Science, LexisNexis Risk Solutions 
  • Jennifer Kostyrna, Director, Product Management, LexisNexis Risk Solutions 
  • Katie Raftelis, Senior Product Manager, Driving Risk Violations Product Management Team, LexisNexis Risk Solutions