Iterable Launches AI Query Summary Powered by Amazon Bedrock
AI Query Summary is part of Iterable’s Smart Segmentation feature set, which adds an important intelligence layer to Iterable’s Audience Segmentation tool.
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Iterable has announced AI Query Summary, an addition to its Smart Segmentation feature set that helps marketers instantly understand and explain complex audience queries. Built on Amazon Bedrock from AWS, this AI capability simplifies segmentation, allowing teams to work more efficiently, reduce mistakes, and deliver more relevant experiences at scale.
Audience queries—the rules used to define target groups based on behaviours, attributes, and engagement patterns—are foundational to segmentation. As marketing strategies grow more sophisticated, these queries often involve dozens of interconnected conditions, making them difficult to review, explain, and scale.
Traditionally, marketers had to manually interpret complex logic, increasing the risk of errors, inefficiencies, and delays. AI Query Summary eliminates this by translating intricate audience criteria into clear, natural language, allowing teams to validate, optimise, and activate segments with greater speed and confidence.
Marketers at Realtors Property Resource (RPR) and Fetch are leveraging Iterable’s Smart Segmentation feature set to maximise audience engagement and get new opportunities, transforming audience segmentation from a point of complexity into a strategic advantage.
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“The new AI Query Summary within Smart Segmentation instantly removes the guesswork from detailing an audience’s logic,” said Aaron Flatt, Director, Growth Marketing at Realtors Property Resource.
“I often create many segments for different purposes—sometimes, I forget to leave a list description. Now, anyone on the team can see what a segment was used for, validate it, and run with it. It completely solved our handoff problem.”
AI Query Summary is part of Iterable’s Smart Segmentation feature set, which adds an important intelligence layer to Iterable’s Audience Segmentation tool. With the Smart Segmentation feature set, marketers can instantly understand and explain complex audience logic and avoid missteps in segmentation setup—all within a clean, no-code interface.
AI Query Summary is powered by Amazon Bedrock, a fully managed service that provides secure, scalable access to foundation models (FMs) from AI companies via a single API, along with a broad set of capabilities needed to build generative AI applications with security, privacy, and responsible AI.
Amazon Bedrock allows Iterable to embed real-time generative AI functionality using pre-trained FMs directly into its platform. Using AWS has streamlined Iterable’s costs and improved efficiency by leveraging existing infrastructure to support the development of new capabilities.
“Our work with AWS is accelerating our roadmap and helping us bring powerful, secure, and deeply useful AI to the hands of every marketer,” said Andrew Boni, CEO and Co-Founder of Iterable.
“AI Query Summary for Smart Segmentation is just the beginning. Our collaboration with AWS—and our shared commitment to responsible, scalable AI—is unlocking a whole new level of productivity and creativity for customer engagement teams.”
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