This piece is by Matheus Riolfi and it looks at car insurance in the new mobility market; on demand cover, priced per trip, driver data and many more challenges.
Matheus Riolfi is the Co-founder and CEO of Tint. Before this, he was the Director of International Expansion at Turo and launched the company in Canada, the UK, and Germany. He pioneered operations, including designing risk management in different company stages and sourcing insurance in various countries. He is a licensed insurance broker in all 50 US states, holds an MBA from Harvard Business School and a dual degree in business from the University of São Paulo and Kedge Business School.
For many, car insurance is a simple annual renewal. However, for many operators in the P2P mobility market, it is anything but simple. Vehicle limits on personal use policies and complex commercial policies make insurance harder to navigate for those who host their vehicles on P2P platforms. Additionally, today’s mobility insurance industry is grappling with new needs for specialty coverage; plus, a flood of real-time data from telematics, GPS systems, and connected vehicles. While this data explosion promises unprecedented personalization, it’s putting pressure on insurers for almost overnight technological innovation, not to mention raising thorny questions about privacy and trust.
Data from the World Property and Casualty Insurance Report by Capgemini showed that 42% of policyholders want a single policy that covers them irrespective of their mode of transportation, whether they are driving a car or using a ride-sharing service. Unfortunately, 63% of insurers are concerned about the adequacy of their technology capabilities and 45% are concerned about evolving customer expectations. How did we get to this inflection point that converges multiple industries?
The Four-Way Data Intersection
Let’s start by challenging a common assumption: more data doesn’t automatically equal better insurance. The real opportunity lies in thoughtful data partnerships between platforms and insurance providers. When non-insurance platforms collaborate with insurance partners, they can leverage existing customer data to streamline the entire insurance process.
Take the quote process, for instance. Rather than asking drivers to manually input information already known to the non-insurance platform, insurance providers can tap into this existing data through secure partnerships. This approach not only reduces errors and saves time, but it also creates genuine value for policyholders by turning a tedious 30-minute questionnaire into a quick, seamless experience that aligns with modern buyer expectations. The key isn’t collecting new data – it’s intelligently using the data that platforms already have to create coverage that takes into account the unique needs of this market.
The most exciting developments in mobility insurance are happening at a unique crossroads where four data streams meet:
● Platform providers possess transactional data about how vehicles are being used in real-time;
● Original Equipment Manufacturers (OEMs) hold detailed vehicle-specific data, from maintenance records to built-in telematics;
● Telematics providers track data about usage, distance, driving behavior, and location; and
● Insurance carriers maintain industry-wide historical data that provides crucial context.
When these streams come together – carefully and purposefully – we can leverage data to build coverage and programs that reflect real-world risks and usage patterns.
Reframing the Timeline
Traditional insurance has always looked in the rearview mirror, relying heavily on historical data to predict future risks. However, mobility platforms operate in the present and future – considering current usage patterns and upcoming bookings. This misaligned timeline creates friction, but it also opens doors for innovation.
The sweet spot lies in bridging these different time horizons. Imagine combining historical patterns with real-time data and future bookings to create coverage that adapts as dynamically as the mobility sector itself. It’s not science fiction – it’s the natural evolution of insurance in a connected world.
Drawing boundaries around data collection isn’t just about privacy regulations – it’s about respect for customers and operational efficiency. Consider usage-based insurance, for example: you might only need to verify monthly mileage, not track every turn and brake. This selective approach keeps things simple while still enabling meaningful personalization.
Connecting the Mobility Insurance Dots
Looking ahead, success in mobility insurance will depend on building innovative and comprehensive frameworks that embrace innovation without compromising privacy. This means zeroing in on data that directly impacts coverage or customer value, creating crystal-clear governance across partnerships, and keeping compliance at the heart of innovation – not as an afterthought.
The partnerships forming between platforms, manufacturers, and insurers are reshaping what’s possible. Yet, these collaborations need guardrails. Every piece of shared data should have a clear purpose and benefit. When we respect these boundaries, we can create insurance products that feel personal without feeling invasive.
The future belongs to companies that use data wisely, not widely. It’s about building insurance that evolves alongside changing mobility needs while maintaining rock-solid trust. In a world where data flows like water, trust becomes the dam directing its path.
The mobility insurance industry faces a choice: strategically align multiple data streams or drown in information overload. Success hinges on orchestrating the flow of data between platforms, OEMs, telematics providers, and insurers in ways that enhance rather than complicate coverage. The path forward isn’t about collecting the most data – it’s about thoughtfully connecting these data streams to create seamless, personalized protection that works as naturally as the mobility services themselves.
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