
About the Case Study
According to Verisk, application integrity for personal auto insurance has deteriorated more than 20 percent over the past eight years, including a 5.6% decline in the veracity of data inputs in just the past four years. To combat this, carriers today leverage expensive, timely, and often incomplete 3rd-Party data sources to get a better picture of risk and identify patterns of premium leakage.
ForMotiv launched a Premium Leakage Solution in 2022 that works by identifying risky behaviors on high-impact premium questions and alerting carriers to possible misrepresentations and premium leakage during the application process. The solution works for both direct-to-consumer and agent-based applications.
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Simple Integration
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Glass-Box Approach
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1st Party Behavioral Data
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