Case Study: How to succeed scaling connected insurance propositions to the mass market

October 19th, 2022 | 10 AM EST | 3 PM BST

Register for free

Case Study: How to succeed scaling connected insurance propositions to the mass market

In North America, UBI and connected insurance programs are largely opt-in, discount-focused innovation projects targeted only at a niche subset of the insurer’s portfolio. Post pandemic realities and increasing inflationary pressures continue to accelerate broad consumer appetite for data-driven connected insurance propositions across the globe. Consumers are seeking more control over the premiums they pay, and the insurance experience they receive. To meet this demand, and fully leverage the full ROI value that connected insurance offers, auto insurers need to think bigger and start targeting their full book of business with broad connected insurance use cases, such as connected claims, FNOL, risk profiling and policyholder retention propositions.

Do you have a connected insurance strategy in place? The time to act is now!

Join IMS, with experts from Aviva, a leader in connected insurance and an early pioneer for mass market connected insurance, and LexisNexis, a pioneer in normalizing and scoring data at massive scale from multiple data sources, including direct from OEMs. In the panel, you will:

  • Hear how auto insurers are managing the current situation with mass market connected insurance propositions
  • Learn about connected insurance strategies at play in UK and Europe that provide ideas for what is possible in the US market
  • Find out how you can leverage your existing investments in your existing policyholder app and mobile app-based technologies to offer ROI across the entire value chain

Date: Wednesday, October 19th, 2022
Time: 10 am EST / 3 pm BST
Duration: 1 hour (45 minutes live discussion; 15 minutes live Q&A)

Panel Speakers

David Lukens (Host)

SVP North American Sales, IMS

Matthew Washer

Head of Connected Motor, Aviva

Adam Hudson

VP of Connected Car, LexisNexis