Iterable, the AI-powered communication platform, has introduced AI Query Summary, a new addition to its Smart Segmentation capabilities. Built with Amazon Bedrock from AWS, this feature automatically translates complex segmentation logic into easy-to-understand natural language—streamlining workflows, preventing errors, and making real-time audience targeting more accessible to marketers. This release marks a major step in transforming segmentation from a technical obstacle into a strategic enabler.

The Challenge: Segmentation Complexity Slows Growth

Why segmentation has been difficult:

• Audience queries often contain intricate logic with dozens of conditions.

• Manual review and interpretation increase the risk of human error, inefficiency, and delays.

• Handoffs between team members suffer due to lack of clarity and documentation.

Traditional segmentation bottlenecks:

• Time-consuming validation of audience logic.

• Limited ability to scale or replicate segments across teams.

• Dependence on technical or data experts to translate conditions.

The Solution: AI Query Summary Explained

Features of AI Query Summary:

• Automatically translates complex audience rules into natural language explanations.

• Enables team members to quickly validate, understand, and act on segmentation logic.

• Reduces handoff friction by eliminating the need for manual list descriptions.

Real-world impact:

“It completely solved our handoff problem,” says Aaron Flatt, Director of Growth Marketing at Realtors Property Resource.
“Now, anyone on the team can understand what a segment does and why it exists.”

What Makes Smart Segmentation Truly “Smart”

AI Query Summary is part of Iterable’s broader Smart Segmentation feature set, delivering an advanced segmentation experience that is:

1. No-code and intuitive

• Visual interface with drag-and-drop ease.

• Removes reliance on technical teams for query building.

2. Intelligent and dynamic

• Combines behavioral, demographic, and AI-generated user data.

• Includes real-time audience counts and predictive insights like Brand Affinity and Predictive Goals.

3. Error-resistant

• Built-in logic checks and intelligent guardrails flag errors before activation.

• Reduces missteps caused by overlapping or missing criteria.

4. Future-focused

• Designed for scalability across teams and campaigns.

• Ready for moments-based marketing and personalized engagement at scale.

Powered by Amazon Bedrock: AI Innovation at Scale

Amazon Bedrock’s role in AI Query Summary:

• Offers secure, scalable access to leading foundation models.

• Enables real-time generative AI functionality embedded directly in Iterable’s platform.

• Supports privacy, security, and responsible AI usage standards.

Benefits of AWS partnership for Iterable:

• 50% faster research-to-implementation turnaround times.

• Cost-efficient development of advanced AI-powered features.

• Seamless access to enterprise-ready infrastructure for ongoing innovation.

“Our work with AWS is accelerating our roadmap,” said Andrew Boni, CEO and Co-founder at Iterable.
“AI Query Summary is just the beginning of how we plan to reimagine marketing operations with AI.”

Customer Benefits: Speed, Scale, and Smarter Decisions

How Iterable Smart Segmentation helps marketers:

• Faster audience building with natural-language summaries.

• Greater accuracy in targeting and personalization.

• Improved collaboration across marketing, product, and data teams.

• Time saved on manual reviews and list documentation.

Marketer use cases:

• Launching time-sensitive campaigns with confidence.

• Sharing segments across departments with full context.

• Rapidly testing and scaling campaigns without data ambiguity.

A New Standard in AI-Driven Marketing

Iterable’s AI Query Summary is more than just a feature—it’s a rethinking of how segmentation should work in the modern marketing landscape. Powered by AWS’s generative AI technology, this innovation allows teams to work faster, collaborate better, and make smarter decisions based on reliable, interpretable audience data.

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