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What Is AI Audience Segmentation?

Contextual amplification is a well-established concept in advertising, particularly in digital media buying. However, traditional segmentation often falls short by relying solely on keyword-based targeting. This approach overlooks crucial elements for brands and limits ad placements, missing unique opportunities to connect with the right audiences.

To address this gap, Kontent Room developed Contextual Layering, an advanced AI audience segmentation tool that enhances contextual targeting. By analyzing visual content—such as images and videos—on relevant websites, it refines audience segmentation and ensures more precise ad placements.

How Does Contextual Layering Improve Audience Targeting?

The first step in integrating Contextual Layering into a campaign is identifying key brand elements that help determine the optimal ad placements. These elements are based on audience characteristics such as socioeconomic status (SES), interests, gender, and messaging objectives.

Once these parameters are defined, the platform generates a custom AI prompt to scan the web for relevant images and videos that align with the brand’s message. This process ensures that ads appear in highly targeted environments, maximizing engagement and conversion potential.

Additionally, based on audience interactions, the system creates interest-based clusters that allow brands to retarget users with personalized marketing with AI, ultimately building a more effective consumer journey.

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What Is AI Audience Segmentation?

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