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, says Iterable. 


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, optimise and activate segments with greater speed and confidence, adds the company. 


Iterable says marketers at Realtors Property Resource (RPR) and Fetch are leveraging Iterable's Smart Segmentation feature set to maximise 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," says 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 intelligence layer to Iterable's Audience Segmentation tool. With the Smart Segmentation feature set, marketers can understand and explain complex audience logic and avoid missteps in segmentation setup, says the company. 


According to Iterable, with Smart Segmentation, marketers can:

  • size and prioritise audience opportunities using predictive attributes like Brand Affinity and Predictive Goals
  • build audiences for every stage of the customer journey
  • work autonomously in a visual, no-code interface, and 
  • avoid mistakes before they happen with intelligent guardrails that flag mismatches, missing logic, or conflicting conditions.


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

Iterable says AI Query Summary is powered by Amazon Bedrock. 


"Our work with AWS is accelerating our roadmap and helping us bring powerful, secure and deeply useful AI to the hands of every marketer," says 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 says it has seen a 50% reduction in turnaround time in its research and development and ideation timeline.


Iterable concludes that its 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. 


For more information, visit www.iterable.com. You can also follow Iterable on Facebook, LinkedIn, X, or on Instagram. 


*Image courtesy of Facebook