Marketing teams are under pressure to deliver better customer segmentation —but traditional analytics approaches often struggle because customer behavior is inherently connected. When interactions are reduced to tables and aggregates, critical relational signals are lost.
We’ll begin this webinar with a live Q&A with Ben Squire of Audience Acuity, discussing how leading marketing teams are using connected data to better understand customers, identify meaningful segments, and improve recommendation performance. Ben will share real-world perspectives on where standard approaches break down—and why graph-based techniques are proving more effective.
We’ll then move into a practical deck and live demo showing how Neo4j Graph Analytics for Snowflake applies graph algorithms directly to data in the Snowflake AI Data Cloud. You’ll see why graph algorithms outperform traditional methods for segmentation, and how these insights can be generated using SQL, with no ETL and no infrastructure overhead.
You’ll learn:
- Why customer segmentation benefits from graph-based approaches
- How graph algorithms reveal customer similarity, communities, and product affinity
- How to run graph analytics directly in Snowflake using elastic, serverless compute
Join us to see how graph analytics can deliver deeper, more explainable marketing insights—without leaving Snowflake.
