Iterable Launches AI Query Summary to Enhance Marketing Campaign Execution and Targeting, Powered by Amazon Bedrock

Iterable, the AI-powered communication platform, today announced AI Query Summary, a groundbreaking addition to its Smart Segmentation feature set that helps marketers instantly understand and explain complex audience queries. Built using Amazon Bedrock from Amazon Web Services (AWS), this generative AI innovation transforms segmentation from a technical bottleneck into a strategic growth driver—empowering teams to move faster, avoid errors, and deliver more relevant experiences at scale.

Audience queries—the rules used to define target groups based on behaviors, 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 friction by automatically translating intricate audience criteria into clear, natural language, allowing teams to validate, optimize, 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 maximize audience engagement and uncover new growth opportunities, transforming audience segmentation from a point of complexity into a strategic advantage.

“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-Powered Smart Segmentation: Smarter Segments. Bigger Impact.

AI Query Summary is part of Iterable’s Smart Segmentation feature set, which adds an important intelligence layer to Iterable’s trusted 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.

Importantly, Smart Segmentation retains the speed and flexibility marketers already love about Iterable: near-instant queries, real-time audience counts, and the ability to combine behavioral, demographic, and AI-powered user data in a single, intuitive workflow.

With Smart Segmentation, marketers can:

• Quickly size and prioritize audience opportunities using predictive attributes like Brand Affinity and Predictive Goals—focusing efforts on segments that drive loyalty and revenue
• Build precise, dynamic audiences for every stage of the customer journey, using real-time behavioral, demographic, and custom event data
• Work autonomously in a visual, no-code interface built for intuitive segmentation and seamless collaboration—no technical support required
• Avoid mistakes before they happen with intelligent guardrails that flag mismatches, missing logic, or conflicting conditions—ensuring quality and accuracy at every step

AWS and Iterable: Accelerating the Future of AI-Powered Marketing

AI Query Summary is powered by Amazon Bedrock, a fully managed service that provides secure, scalable access to foundation models (FMs) from leading 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.”

Iterable also leverages Amazon Bedrock to speed up experimentation and reduce manual intervention within its own operations. Using Bedrock, Iterable saw a 50% reduction in turn-around time in its research and development and ideation timeline.

Iterable’s collaboration with AWS also includes joint customer solutions, available in the AWS Marketplace, and shared thought leadership to help brands unlock the full potential of their customer data. Learn more at https://iterable.com/partnerships/aws.

Smart Segmentation is the latest chapter in Iterable’s journey to reinvent how marketing works leveraging AI—not by bolting AI onto legacy workflows, but by rethinking how teams operate from the ground up to power moments-based marketing at scale. Learn more at www.iterable.com/whatsnew.

Meet Iterable and AWS at Cannes

Iterable and AWS will be at Cannes this June, partnering on conversations about the future of marketing and AI. For more information about this release or to connect onsite, reach out to press@iterable.com.

About Iterable:

Iterable is the AI-powered communication platform that organizations trust to build deeper customer relationships through personalized, real-time engagement. With Iterable, leading brands like Priceline, Fabletics, Blockchain, and GitLab deliver seamless cross-channel experiences by turning data into action and continuously optimizing for maximum impact. Because the future of marketing isn’t about sending more campaigns—it’s about creating moments that matter. Learn more at www.iterable.com.

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Iterable has launched AI Query Summary, powered by Amazon Bedrock. This new generative AI capability streamlines audience segmentation—eliminating manual bottlenecks and enabling teams to move faster, reduce errors, and drive strategic growth.