StackAdapt Unveils Snowflake Native App, Powered by Snowflake Cortex AI, Unlocking First-Party Data Activation and Insight for Programmatic Campaigns

First DSP to embed Snowflake Cortex AI in the Snowflake Native App Framework, turning complex data into actionable audiences with just a few clicks

TORONTO--(BUSINESS WIRE)--StackAdapt (www.stackadapt.com), a leading technology company in advertising and marketing, today announced the availability of its first Snowflake Native App, powered by Snowflake Cortex AI, on Snowflake Marketplace. It is the first demand-side platform to launch a Snowflake Cortex-powered Snowflake Native App within the Snowflake ecosystem, turning complex data preparation into a streamlined workflow that any marketer can use.

The launch marks a significant leap forward for enterprise advertisers aiming to activate first- party data at scale. Using StackAdapt’s Snowflake Native App, powered by Snowflake Cortex, marketers can create real-time audience segments directly within the platform, eliminating the need for IT intervention, and seamlessly transform raw first-party data into actionable insights without moving data outside Snowflake.

“Marketers want results, not roadblocks. Bringing Cortex into the Snowflake Native App means our clients can turn raw tables into ready-to-use audiences in minutes,” said Yang Han, Co-Founder and CTO at StackAdapt. “Being able to use first-party data to pinpoint users with precision in a privacy-safe manner is critical to driving performance and growth in today’s world.”

Using Snowflake Cortex, marketers can use natural language to query tables, identify relevant columns for mapping, and seamlessly locate the precise data they need to execute their campaigns. Processes that once required manual updating and spreadsheets can be automated through guided flows that allow teams to focus on creative strategies and performance optimizations.

Teams can use first-party data to retarget past customers, build lookalike audiences, suppress segments like converted users or ineligible leads, and measure campaign results using data already within their systems. Integrated with the StackAdapt Data Hub, users can bring data from multiple Snowflake tables into a single environment without needing to stitch or reformat, providing a more comprehensive view of their customers.

“StackAdapt has launched a number of solutions on Snowflake Marketplace, and this latest launch illustrates how the Snowflake Native App Framework simplifies first-party data activation at scale,” said Eric Batscha, Industry Principal, Adtech at Snowflake. “StackAdapt is a prime example of a partner that’s raising the bar for usability while protecting customer data in Snowflake.”

By simplifying data discovery, mapping and activation into a unified process, StackAdapt’s Snowflake Native App gives teams greater control, faster execution, and more meaningful outcomes. Brands can also grant data access to agencies using StackAdapt’s API key, making collaboration more flexible and seamless.

Together, these features give advertisers a faster, more secure way to put first-party data to work across every digital channel. This means marketers across industries including food & beverage, financial services, e-commerce, and technology, can more effectively activate their campaigns to measure inventory, loyalty programs, personalized campaigns, and more.

StackAdapt’s Snowflake Native App is now available in public preview in Snowflake Marketplace. To learn more and access the app, visit the Snowflake Marketplace page.

About StackAdapt

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. For further information, visit www.stackadapt.com.