Anthony Rotio

Marketing teams run thousands of experiments, but the learnings don’t always translate into better results. Why? We’re scaling our campaigns on the wrong data. This session introduces the agentic context graph built on the Snowflake AI Data Cloud. It’s a warehouse-native learning layer that continuously captures customer context, actions and outcomes to power AI decision-making. Walk away with a blueprint for turning results from thousands of experiments into compounding intelligence, helping you scale smarter campaigns and guarantee growth.

Agentic AI is poised to revolutionize how marketing and data teams unite to fuel revenue growth in 2025 and beyond. Join this session to discover how marketers can leverage AI agents applied directly to their first-party data on Snowflake to suggest, build and execute marketing campaigns that compound growth over time. Learn how GrowthLoop’s Compound Marketing Engine, built natively on the Snowflake AI Data Cloud, leverages agentic AI to automate campaign launches, accelerate experimentation and deliver hyperpersonalized experiences at scale.