Samba TV and InfoSum launch AI-powered clean room partnership for privacy-safe media measurement at global scale

Samba TV has entered into a strategic global partnership with InfoSum, the data collaboration platform recently acquired by WPP, to deliver a privacy-first, AI-enhanced media measurement and planning framework. Announced on June 18, 2025, the partnership will integrate Samba TV’s real-time omniscreen data signals into InfoSum’s clean room ecosystem, enabling brands to optimize advertising strategies without compromising data privacy or ownership.

The agreement marks a major expansion of agentic media planning capabilities by combining Samba TV’s proprietary television viewership insights with InfoSum’s privacy-enhancing federated architecture. The initiative is now available to WPP Media and InfoSum clients globally, with a rollout starting in European markets and broader international availability expected in the coming quarters.

This move comes two months after WPP’s acquisition of InfoSum in April 2025, a strategic play aimed at consolidating the advertising giant’s privacy-first, AI-native infrastructure for next-generation marketing. The integration enhances WPP Media’s capacity to offer advertisers real-time, identity-secure collaboration without needing to centralize or expose raw data—a priority in today’s tightening global privacy environment.

How does the Samba TV–InfoSum partnership support AI-powered personalization without violating privacy rules?

At the core of the partnership is Samba TV’s AI-ready dataset, sourced from tens of millions of opted-in smart TVs across more than 20 global TV brands in over 100 countries. These datasets offer deep insights into cross-platform viewer behavior, contextual media consumption, and ad exposure outcomes. Integrated into InfoSum’s decentralized collaboration environment, this data becomes actionable for advertisers—without being moved or directly accessed—offering a privacy-preserving yet data-rich foundation for campaign activation.

This model aligns with the industry’s growing shift toward clean room ecosystems, where sensitive data remains siloed and encrypted, yet interoperable through advanced privacy-enhancing technologies. Institutional investors and brand marketers are increasingly prioritizing such architectures as alternatives to legacy identity-based targeting methods, which have come under scrutiny due to data protection laws like the GDPR in Europe, the CPRA in California, and India’s Digital Personal Data Protection Act.

According to indirect sentiment from institutional stakeholders, the integration is seen as a foundational capability for advertisers that want to personalize at scale without triggering legal exposure or reputational risk. The inclusion of real-time viewership signals, combined with WPP Media’s planning and activation workflows, introduces a level of responsiveness that many advertisers have struggled to achieve across siloed media environments.

What specific advantages does this partnership offer to marketers navigating fragmented media ecosystems?

As media consumption patterns fragment across linear TV, streaming, mobile, and digital environments, the need for unified measurement has become a strategic imperative. The partnership addresses this fragmentation by offering a single, privacy-safe interface where Samba TV’s viewership data—covering content consumption, ad exposure, and behavioral trends—can be joined with advertisers’ own first-party data within InfoSum’s clean room framework.

Marketers can then model consumer journeys, detect in-market signals, and inform contextual targeting strategies—all in near real-time. The infrastructure also supports AI-powered automation, which allows for dynamic content decisioning and bid optimization based on evolving viewer patterns.

By embedding Samba TV’s data directly into InfoSum’s platform, brands gain immediate access to scaled intelligence across all screens without breaching regulatory boundaries. The integration helps brands implement what institutional sentiment has labeled “agentic personalization”—the use of AI to autonomously adapt creative and media strategies in response to individualized consumer signals, all while preserving data integrity.

Why is this clean room deployment considered a blueprint for future advertising infrastructure?

The Samba TV–InfoSum collaboration is drawing attention across the industry as a model for how data owners, media agencies, and AI platforms can collaborate without the risk of data exposure or regulatory violation. Analysts believe this integration supports what will likely become the standard in media measurement: real-time, federated analytics with embedded compliance safeguards.

Unlike legacy data onboarding or programmatic targeting, where user data is often pooled or exported, InfoSum’s architecture enables Samba TV’s datasets to remain in place. Secure APIs allow advertisers to query audiences, model behaviors, and even trigger campaigns—all without raw data changing hands. This “data stays home” model is seen as vital to scaling AI while complying with multi-jurisdictional privacy regimes.

The clean room infrastructure also eliminates dependence on cookies, MAIDs, or centralized IDs, offering marketers a path forward in a post-identity digital ecosystem. Instead of relying on universal identifiers, the integration focuses on signal-based matching, behavioral trends, and contextual relevance—each augmented by Samba TV’s scale and InfoSum’s security protocols.

What sectors and use cases stand to benefit most from this agentic infrastructure?

While the integration is being marketed broadly, institutional sentiment suggests the greatest near-term impact will be seen in verticals that require real-time decisioning and outcome tracking. This includes automotive, financial services, consumer packaged goods, and retail, where campaign budgets are large, and attribution pressure is high.

For example, an automotive brand can use Samba TV’s data to measure the lift from a CTV campaign, analyze showroom visit rates, and tailor future ad delivery based on regional viewership trends—all within InfoSum’s federated environment. Retail brands, on the other hand, can align in-store transaction data with TV exposure without ever merging datasets directly, satisfying both internal compliance teams and external regulators.

From an operational standpoint, the AI-ready signals also reduce manual labor in campaign planning, allowing marketing teams to shift from deterministic segmentation toward fluid, AI-informed creative workflows. This has the potential to lower costs while improving engagement metrics, a trade-off highly attractive to enterprise advertisers under performance pressure.

What is the future roadmap for the Samba TV and InfoSum collaboration?

Following the initial rollout in Europe, the Samba TV–InfoSum integration is expected to extend to North America, Asia-Pacific, and Latin America over the next 12 to 18 months. Additional product enhancements are also planned, including the layering of new datasets such as retail loyalty, mobile app behavior, and real-world location data—all processed within InfoSum’s clean room protocols.

Institutional observers expect further bundling of AI tools from WPP Media’s broader portfolio, allowing marketers to orchestrate multi-platform campaigns, test creative variants, and simulate consumer responses—all before committing budget to live activation. These capabilities are expected to play a central role in what analysts are calling the “agentic era” of marketing: a shift toward intelligent systems that not only execute but optimize themselves.

Looking forward, the partnership between Samba TV and InfoSum may also set the stage for future cross-industry clean room standards. As interoperability becomes a requirement, pressure may mount for platforms like Snowflake, Habu, and Amazon Marketing Cloud to offer similar plug-and-play frameworks that match the scale and privacy resilience seen in the Samba–InfoSum alliance.