StackAdapt has become the first demand-side platform (DSP) to roll out a Snowflake Cortex-powered Native App within the Snowflake ecosystem—bringing simplified, real-time first-party data activation to marketers without the usual IT bottlenecks.

Available now in public preview on Snowflake Marketplace, StackAdapt’s new app allows marketing teams to create audience segments, retarget users, suppress converted leads, and measure campaign performance—all without moving data outside Snowflake.

This release taps into Snowflake Cortex, the AI layer within Snowflake’s platform, enabling marketers to query data using natural language, automatically identify relevant fields, and streamline campaign workflows that traditionally required manual spreadsheet handling and IT support.

“Marketers want results, not roadblocks,” said Yang Han, Co-Founder and CTO at StackAdapt. “By integrating Cortex, we’re enabling clients to turn raw tables into campaign-ready segments in minutes.”

The app’s functionality extends beyond just building audiences. Marketers can use guided workflows to automate repetitive tasks, bring together data from multiple Snowflake tables via StackAdapt Data Hub, and execute campaigns with precision—without the need for data stitching or reformatting.

The collaboration also ensures data stays within the Snowflake environment, preserving data privacy and governance standards while enabling teams to grant secure access to agency partners via StackAdapt’s API key.

“This launch showcases how the Snowflake Native App Framework can make first-party data activation fast, secure, and scalable,” said Eric Batscha, Industry Principal, Adtech at Snowflake. “StackAdapt continues to raise the bar for usability in data-driven advertising.”

For marketers in sectors like e-commerce, financial services, food and beverage, and tech, this integration promises more efficient campaign execution, deeper personalization, and improved ROI—especially in an era where privacy-compliant data activation is more important than ever.

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