Comscore, a global leader in audience measurement and analytics, has introduced its AI-powered Data Partner Network, a platform designed to help third-party data providers transform ID-based datasets into scalable, privacy-compliant audience segments. Leveraging Proximic by Comscore’s proprietary AI predictive technology, the network enables advertisers to reach targeted audiences without relying on traditional identifiers like cookies or mobile IDs.

The network allows partners to run their datasets through Comscore’s AI predictive engine and verified truth set panels, producing ID-free, privacy-centric audience segments that can be activated across multiple demand-side and supply-side platforms. Early tests showed major gains: the AI-enhanced ‘online holiday shoppers’ segment grew 95% using Proximic’s predictive models.

By enabling data providers to maximize the value of their datasets while maintaining privacy compliance, the network creates a win-win ecosystem: advertisers gain precise targeting at scale, publishers can monetize more effectively, and data providers secure future-proof solutions.

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AI at the Core of Smarter Audience Targeting

The network applies AI predictive models to partner datasets, generating ID-free, privacy-centric audience segments that can be activated across multiple DSPs and SSPs. For example, when the AI processed Comscore’s own ‘online holiday shoppers’ segment, it expanded audience reach by 95%, demonstrating the power of machine learning to amplify data value while preserving privacy.

According to Rachel Gantz, Managing Director of Comscore’s Proximic: “Our goal is to create an ecosystem where every participant benefits. Advertisers get precision at scale, publishers unlock smarter monetization, and data providers future-proof their business.”

Global programmatic partner MiQ has reported measurable success deploying AI-generated segments across Connected TV (CTV) campaigns, noting improved audience reach and lower cost per unique reach.

“The future of audience targeting is privacy-first but still needs to deliver scale and performance,” said Sara Sowsian, Director of US Product Partnerships at MiQ. “Comscore’s AI-powered network allows our clients to reach the right audiences efficiently and responsibly.”

By integrating AI into the core workflow, the network allows data providers to maximize the utility of their datasets, advertisers to achieve more precise targeting, and publishers to monetize smarter. This AI-first approach addresses the decline of traditional identifiers, providing a future-ready solution for programmatic campaigns.

Michael Quinn, SVP Global Media at Circana, added: “Integrating our best-in-class audiences with Proximic’s AI technology has opened new opportunities for advertiser performance and smarter monetization.”

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Key Participants

Over ten data providers have already joined the network, including:

This broad participation ensures a rich supply of high-quality datasets, all privacy-aligned and scalable for programmatic activation.

The announcement positions Comscore as a forward-thinking innovator bridging AI and privacy-driven marketing. The story isn’t just about launching a new network; it’s about how AI is enabling the evolution of audience targeting in a privacy-first digital landscape.

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FAQs

1.  What is Comscore’s AI-powered Data Partner Network?
It is a platform that allows third-party data providers to convert ID-based datasets into privacy-first, scalable audience segments using Comscore’s AI predictive technology.

2. How does it benefit advertisers?
Advertisers can reach precise audiences at scale without relying on cookies or mobile IDs, leading to better campaign performance and improved ROI.

3. How are privacy concerns addressed?
The network generates ID-free audience segments, ensuring compliance with privacy regulations while maintaining scalability across programmatic platforms.

4. What results have been observed so far?
Initial tests showed that the AI-enhanced ‘online holiday shoppers’ segment grew by over 95%, demonstrating the effectiveness of predictive modeling.

5. Who is participating in the network?
Major data providers, including AnalyticsIQ, Circana, Dynata, Eyeota, TransUnion, and several others, have joined, creating a diverse and high-quality dataset ecosystem.

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