Growth Insurance: Product’s and Data Science’s New Best Friend

About this white paper

How can product leaders and data science teams turn fragmented insurance data into decisions about customers, products, and markets? This guide explains how Growth Insurance connects policyholder data with household attributes, external signals, and predictive models through the G1 Growth Operating System. Who this is for: Insurance product leaders, data scientists, and teams responsible for customer understanding and portfolio growth. What the guide covers: Connecting first-party and external data; using Growth Factors to understand differences between customer groups; identifying life-stage and shopping signals; and applying the four Growth Engines to product fit, acquisition, cross-sell, and retention. What you can take away: A framework for connecting a customer or market question to the data, model, operational decision, and outcome needed to answer it. The guide describes the approach rather than guaranteeing a particular result.