If you're looking for a platform to help insurance carriers predict purchase intent and minimize premium leakage, ForMotiv could be a great choice. ForMotiv's behavioral analytics platform is specifically designed for the insurance industry, capturing hundreds of unique behavioral data cues to translate into actionable intent scores. The platform uses machine learning to analyze real-time data, providing accurate predictions of user intent and guiding next-best actions for each applicant. It can help in predicting purchase intent, reducing premium leakage, improving agent oversight, and increasing conversion rates.
Another excellent option is Cambridge Mobile Telematics. This platform leverages driving data from IoT devices like smartphones, dashcams, and connected cars to understand vehicle and driver behavior. By providing a comprehensive view of driving habits, Cambridge Mobile Telematics helps auto insurers and others reduce accidents and lower insurance costs through risk assessment and safety programs. The platform is known for its privacy-first approach, ensuring that data is never sold to third parties.
Quanata also offers a compelling solution. Quanata uses next-generation AI-assisted modeling and real-time telematics to predict and mitigate risks. Its contextual and behavioral risk modeling helps in accurate risk prediction and scoring for underwriting and marketing, while its telematics-driven rewards programs can encourage positive behavior changes. This platform is designed to provide more accurate and predictive risk insights, benefiting both insurers and policyholders.