Iterable, the AI-powered communication platform, 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.
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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.”
SOURCE: Businesswire