Build a churn prevention campaign for Braze using AI

To prevent customer churn and maintain high net dollar retention, it's crucial to keep customers engaged. Identifying at-risk customers and intervening at the right moment can be challenging. This guide explains how to use Census's GPT Columns to create data points like an engagement score and trend, which can help identify valuable customers who are at risk of disengagement. These insights can then be used to power re-engagement campaigns in platforms such as Braze. The process involves identifying high-value customers, understanding their engagement levels, defining a dataset with relevant events, setting up GPT Columns for analysis, and syncing the data points to Braze or other marketing platforms.