Customer churn over lost loyalty and poor customer experiences can cost as much as $470 billion in premiums globally. Increasingly, the insurance customers' buying expectations have shifted, while the industry is rapidly figuring out how to meet the customers where they are. Technology advancements such as data analytics and AI are rapidly being adopted to boost client acquisition, cross-sell and up-sell. Insurers are finding new ways to offer dynamic and personalized recommendations, leverage more data to understand risks, pricing and customized experiences across all channels.
Agenda
1. How insurers are accurately curating and scaling their offers for every customer?
2. What has been done with new technology to drive better personalized policy recommendations?
3. What lessons learned from experimenting with hyper-personalization initiatives?
4. What 5 key takeaways insurer's can gain to drive better personalization across channels?
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