Introducing AI Audiences: Smarter Targeting, Better Performance

Summary
As marketing leaders contend with mounting pressure to drive ROI from leaner budgets, Wunderkind’s new AI Audiences offering introduces a more intelligent, predictive layer to audience segmentation. By leveraging behavioral signals and machine learning, the platform’s Purchase Propensity and Product Affinity features enable brands to zero in on users most likely to convert—and tailor messaging to inferred interests, even in the absence of explicit behavior. This shift away from static rule-based targeting to dynamic, intent-driven segments reflects a broader trend: marketers increasingly turning to automation not just for efficiency, but for strategic clarity. The challenge ahead lies not in accessing this intelligence, but in operationalizing it to create more relevant, resonant customer experiences at scale.

Wunderkind’s mission has always been to help marketers unlock the full value of their owned audiences. Today, we are thrilled to announce the general availability of AI Audiences—our newest intelligence layer for Wunderkind Text audience segmentation. With AI Audiences, marketers can now target with unprecedented precision using two powerful features: Purchase Propensity and Product Affinity.

These machine learning models help answer two of the most important questions in marketing: Who is ready to buy? And what are they most likely to buy?

What Is AI Audiences?

AI Audiences is a suite of predictive audience-building tools powered by Wunderkind’s proprietary machine learning models. These models analyze behavioral signals—like product views, add-to-cart actions, and browsing history—to generate dynamic segments based on conversion likelihood and product interest.

Meet the Features

Purchase Propensity identifies users most likely to convert by analyzing their activity over the past 14 days. Whether you’re looking to maximize return on ad spend or drive higher text engagement, this score-based targeting enables more effective retargeting and smarter campaign prioritization.

Product Affinity uses natural language processing and behavioral data to determine which products or categories a user is most interested in—even if they haven’t viewed them directly. This allows brands to serve relevant recommendations and personalize offers based on inferred intent.

Why It Matters 

Marketers are under more pressure than ever to deliver results without overextending budgets. AI Audiences helps solve this by focusing outreach on the people most likely to engage and convert. Instead of relying on manual rules, you can now let machine learning surface the segments that drive the most value.

Designed With Marketers in Mind 

You don’t need to be a data scientist to benefit from AI Audiences. Our intuitive interface lets you:

  • Select high-propensity segments with a simple slider.
  • Enter a product or category to generate an affinity audience.
  • Preview estimated reach before launching a campaign.

This Is Just the Beginning 

AI Audiences is part of our broader vision to bring greater intelligence and automation to performance marketing. As we continue to invest in this space, you can expect even more AI-driven capabilities to help you convert more of your owned audience into loyal customers.

Author

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Sarah Hall

Sarah Hall is a Product Marketing Manager at Wunderkind. She holds a Bachelor’s degree from Washington and Lee University, with an established track record in digital product and customer-facing roles. Sarah enables the success of the Product, Sales, and Customer Success teams by conducting extensive competitive intelligence research, developing effective product messaging and positioning, and building compelling marketing materials.

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