Building an AI-Powered Customer 360 with Braze and Snowflake Cortex

In our previous sessions, we explored how to bridge the gap between Braze and Snowflake to track email engagement. But for the modern marketer, "opens" and "clicks" are only one piece of the puzzle. To drive true loyalty, you need a Customer 360 view—one that marries digital engagement with offline transactions, purchase history, and even customer sentiment.

In this virtual hands-on lab, we will take your data strategy to the next level. You will learn how to unify Braze's real-time engagement data with "brick-and-mortar" POS transactions and predictive propensity scores. Using Snowflake Cortex, you will then build an AI-powered interface that allows your marketing team to query this 360-degree dataset using natural language.

No more complex SQL for your marketing ops—just ask the data directly.

What You Will Learn:

• Data Unification: How to ingest and join Braze engagement data with external sources like POS (Point of Sale) and Purchase History inside Snowflake.
  
• Customer 360 Architecture: Designing a "Golden Record" that connects digital behavior (Braze) with physical behavior (Store transactions).
  
• Natural Language Insights: Implementing Snowflake Cortex to build a chatbot that answers complex questions like: "Which high-value users opened our last email but only purchase in-store?"
  
• Sentiment & AI Analysis: Using LLMs to analyze long-form customer reviews and link sentiment to specific purchase behaviors.
  
• Predictive Activation: Leveraging Propensity Scores (Churn vs. Purchase) to identify which segments should be pushed back into Braze for immediate re-engagement.