How Hex Uses Data to Score Leads

This post details the technical implementation of a lead scoring model using regression analysis within Hex. It describes how Hex's data team built an interactive app that maps contact attributes and engagement data, runs them through a regression model to identify predictive traits and behaviors for pipeline creation, and segments these insights by company size (Enterprise, Mid-Market, SMB). The post highlights the use of AI features to translate complex data science outputs into plain-English summaries and actionable recommendations for scoring logic and targeting strategy. It also emphasizes the reusability and on-demand update capabilities of the model within the Hex platform.