How Better Understanding Intent Drives Life & Health Insurability Scores (w/Sudhama Gopalan, AveriSana)

Sudhama Gopalan is founder and CEO of AveriSana Inc., an insurtech startup that uses data science and machine learning to make customer acquisition in life and health insurance more cost-efficient and productive.  

Matching customers to products used to be about understanding intent and then looking at insurability (health and medical records) later on in the sales funnel. Technology now enables insurers to aligning intent with insurability simultaneously in order to reduce the total cost of acquiring a customer and a higher match and customer experience. 

The team started by modeling outcomes however using more data were able to define proxies for individuals' health risk. Averisana is thus able to better match customers to insurance products across the marketing, sales, and underwriting process, both digital and traditional. This also enables agents to quantify their leads pipeline up-front and accurately.

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