
Deliver highly personalized mobile telematics insurance offers
With robust driving behavior data plus an intuitive mobile app, you’re in the driver’s seat when it comes to having dynamic pricing capabilities and generating predictive, personalized packages.
Bring your UBI programs to life
For the most part, insurers have resorted to third-party mileage trackers and other basic products for driver behavior data collection, the inconsistencies, and inefficiencies of which have led to expensive operational costs. Today, most telematics vendors still only provide a single driver score or a limited set of metrics, and insurers are having a hard time leveraging insights to forecast demand for their telematics portfolio.
Start improving your top-line revenue and bottom-line profits
When you make the most of telematics data, you’re able to manage the entire UBI lifecycle. Not only will you improve your ability to determine demand and profitability, but you’ll gain a new way to increase lifetime value, customer engagement, and retention.
Put operational efficiency into overdrive
Combining rich mobile telematics data and existing end customer data sets with dynamic pricing capabilities allows you to achieve a new level of precise, behavioral-based pricing that sharpens your organization’s view of risk. With AI/ML capabilities, you can create more informed, future-focused pricing strategies that align with customer expectations and unlock new revenue streams.
Give more power to the policyholder
Employ the best-in-class Earnix mobile telematics app to provide a hassle-free policyholder experience. Our Drive-It app automatically detects when a trip starts and stops and has exceptionally low battery usage.
Understand exactly how drivers drive
Earnix telematics leverages cutting edge smartphone sensor fusion to provide up to 96 different data features enabling you to capture driving risk data and detect car crashes in real-time, with high consistency and quality.
Know how your policyholder travels
Using billions of miles of driving data, machine learning helps to provide high consistency and quality of trip data capture. Now you can identify driver vs. passenger trips and differentiate between public transit modes including trains, buses and rideshare.
