Quad/Graphics is rolling out natural language prompting capabilities for its proprietary Audience Builder platform. The new feature, powered by Snowflake’s Cortex AI platform, accelerates Quad’s ability to create sophisticated audience segments using simple conversational commands instead of complex queries. The AI chat prompt more easily unlocks Quad’s data stack of billions of household data points, speeding the time for Quad to build highly relevant audiences while eliminating the need for technical expertise to create or fine tune results. The natural-language feature uses Cortex AI functionality from Snowflake, a leading cloud data platform, to interpret prompts, analyze stored audience attributes, and enrich results with external demographic data. George Forge, Senior Vice President of Client Technology & Product Development, Quad. “By tapping Snowflake’s AI expertise for natural language prompts, we’re introducing a new level of innovation to our audience targeting process. In the increasingly complex world of marketing, we’re making it even easier, faster and more precise to gather insights, build audiences, and help our clients make meaningful connections with their customers, wherever they may be.” Quad developed Audience Builder to help its clients reach more relevant audiences by identifying consumers who are more likely to engage with advertiser messaging and to break through walled gardens by providing greater transparency about who the advertisers actually reach. Quad’s Audience Builder allows media strategists, analysts and planners to uncover deeper consumer insights and design higher-performing audience profiles that can be deployed across channels to improve marketing mix measurement and incrementality. Intuitive, natural language, AI chat prompting accelerates and streamlines the creation of sophisticated audience segments from Quad’s data stack through basic, conversational prompts, such as, “Build an audience of competitive bike riders in South Carolina.”