On June 5, 2025, WPP Media launched something big—and potentially transformative.

Open Intelligence, the first-ever Large Marketing Model (LMM), is now live. As reported by Marketing Dive, this LMM leverages AI trained on vast, real-time data from 75+ global markets and advertising partners, including Google, Meta, Snap, and TikTok. The result? Smarter, predictive audience insights—without relying on cookies or traditional IDs.

For brands investing in the future of marketing infrastructure and AI marketing scalability, including ProjectBloom clients, this shift represents a clear signal: intelligent, privacy-first targeting isn’t just coming—it’s here.

What Makes WPP’s LMM a Breakthrough?

Open Intelligence isn’t just another AI feature—it’s a marketing milestone. Key innovations include:

  • AI-powered audience prediction: Forecast behavior, interests, and conversion potential without traditional user IDs.
  • Global data scale: Real-time insights from 75+ markets across 350+ data partners.
  • Full-funnel targeting: From awareness to action—one system manages it all.
  • Privacy-first learning: Using federated techniques, data stays secure while still enabling model improvement.

This is a bold departure from cookie-based tracking—and it mirrors broader industry moves toward contextual, intelligent, and compliant targeting solutions.

How ProjectBloom Aligns with the LMM Revolution

WPP’s Open Intelligence validates a direction ProjectBloom has already embraced: marketing needs robust, modular, and brand-safe AI infrastructure.

  1. Intelligence-Driven Data Pipelines
    At ProjectBloom, we believe AI can only be as smart as the signals it receives. Our real-time data pipelines and enrichment layers empower agents with clean, contextual data—making predictive segmentation and campaign calibration possible.
  2. Modular AI Agents for Audience Modeling
    Just like WPP’s LMM anticipates behavior without identifiers, ProjectBloom’s agents are designed to map audience intent through ongoing learning. These agents can analyze performance, adapt to shifting patterns, and scale messaging accordingly.
  3. Infrastructure That Prioritizes Privacy and Precision
    Federated learning and privacy compliance are embedded into ProjectBloom’s architecture. Whether integrating global data or scaling across markets, brand safety and trust are always protected.

Why This Matters Now

As ID-based targeting continues to erode, the demand for AI-driven audience models is skyrocketing. WPP’s LMM demonstrates that global players are moving away from legacy tactics and toward infrastructure powered by intelligent systems.

If your team is still relying on manual segmentation, static personas, or cookie-based retargeting—it’s time to rethink your stack.

Open Intelligence signals what’s next: autonomous marketing systems guided by predictive AI, not spreadsheets.

ProjectBloom: Infrastructure That Grows With You

We don’t just help brands create content—we help them scale their entire marketing operation with trustworthy, AI-native infrastructure. That includes:

  • Real-time knowledge graphs for adaptive messaging
  • Brand-aware agents that preserve tone, goals, and compliance
  • Campaign orchestration across paid, organic, and lifecycle channels
  • Compatibility with emerging tools like LMMs and federated AI platforms

Whether you’re building your first AI-led funnel or optimizing an enterprise-level stack, ProjectBloom was built to handle the complexity that’s now required.

Final Thoughts: The Future of Targeting Isn’t Tracked—It’s Predicted

WPP Media’s Open Intelligence isn’t just a product—it’s a paradigm shift. It shows what’s possible when AI, privacy, and scale converge. For ProjectBloom and our clients, it’s proof that the future we’ve been building toward is becoming reality.

👉 Ready to evolve your marketing infrastructure for this new era of AI-powered audience targeting?
Book a live demo today

References

ETCentric. WPP Media Launches Industry’s First Large Marketing Model. June 9, 2025.