The industry's obsession with identity-based marketing is exactly what will hold companies back in the next era of data-driven marketing. Commerce, CTV, social, audio, gaming, and more have become deeply embedded in everyday consumer life, yet IDs tell marketers little about how consumers spend their time on these channels and platforms.
IDs answer one question: "Who are my audiences?" Depending on the type of ID, they’ll reveal who someone is or the makeup of devices in a household, along with what they did (which could be based on surveys). But in an environment where consumer behavior fragments across dozens of touchpoints daily, this narrow view leaves marketers blind to the signals that actually provide a unified customer view and enable them to predict what happens next.
We're now in the intelligence era. The path forward isn't bigger ID graphs or more IDs built on a model of data extraction and movement. It's the secure connectivity of data representing real people with real behaviors, where data stays with its rightful owners. This is the shift from IDs to signals, from centralized solutions to collaborative intelligence.
Why relying on IDs alone has a performance ceiling
Identity-based marketing promised a complete view of the consumer. The mechanics behind it require companies to share and centralize data with a third-party ID provider, match against their graph, and understand audiences through basic attributes. This remains central to many solutions today, but IDs are now only a small part of understanding consumer behavior and have significant limitations.
Firstly, ID solutions were architected for consolidation and have become ubiquitous and largely undifferentiated. The trouble with this one-size-fits-all model is that when every competitor accesses the same centralized ID graphs, insights become commoditized. Competitive advantage through data differentiation is impossible when everyone works from the same playbook.
The signals that would provide differentiation remain locked across the ecosystem. Privacy regulations and commercial concerns mean the richest signals, for example, which creators consumers engage with, their favorite TV shows and genres, YouTube channels they watch, or SKU-level transaction data, sit with companies that will never centralize data into someone else's infrastructure.
Lastly, IDs are static snapshots in time. They reveal who audiences are and what they did, but provide no context for how consumers actually navigate and experience the digital world. Without connectivity, marketers are relying on incomplete information.
Connectivity: The path to intelligence
In today’s fast-paced world, where consumers move at speed across channels and platforms, it’s not enough to know what they did. Better results, stronger performance, and growth come from understanding what consumers will do next. To achieve this, marketers need connectivity to live, unique, diverse, and signals at scale.
The challenge for marketers is that these signals are scattered across the ecosystem, sitting with media owners, retailers, platforms, financial services, gaming, audio, sports teams and leagues, other brands, and more. This is where the importance of decentralized data collaboration and private data networks becomes clear, giving marketers the ability to connect to any and all data without any party having to share or centralize data.
Grounding data strategies in connectivity enables marketers to move from commoditized insights to customized intelligence built on real-time, high-fidelity signals tailored to specific business needs and goals. Instead of being forced to work one way through centralized solutions, private data networks enable marketers to flexibly select the best datasets and partners for any objective.
What’s more, the introduction of AI and advanced collaboration technology, like InfoSum Beacons, means vector databases can be used to match and model data across various formats, including structured records, images, audio, video, and even free text. Marketers now have the flexibility and ability to leverage any data, from any partner, in any format, to build intelligence that extends far beyond IDs.
How intelligence drives performance
Equipped with true marketing intelligence, companies can positively impact every step of the media cycle from planning through to measurement, creating a flywheel that optimizes for outcomes and growth.
At the insight phase, diverse signals enable companies to gain a holistic understanding of how people engage, consume, and interact with media and brands across the ecosystem. AI uncovers hidden patterns and opportunities across datasets, revealing high-value audiences and growth segments.
These insights then allow marketers to plan far more effectively. It gives companies the ability to transparently see the optimal media channels and platforms to reach their audience before a campaign has even launched, enabling brands to allocate media spend more effectively and reduce waste.
Media spend also works harder because intelligence seamlessly flows into creative decisions and production, ensuring advertising is personalized and relevant. With continuous insights into performance, campaigns can be optimized in-flight and results used to inform future campaigns.
Over time, marketers build always-on ecosystems that continuously learn from every campaign and consumer interaction, to predict, and eventually guarantee, outcomes.
This flywheel approach is what powers modern marketing platforms designed for collaborative intelligence, enabling brands to move from static ID matching to dynamic, predictive performance. Powered by decentralized data collaboration and AI, this all happens at orders of magnitude faster than centralized ID solutions. This is intelligent growth and is the data engine behind WPP Open.
The new foundation
The key takeaway for marketers is to recognize the shift from IDs being the strategy to exclusive, tailored marketing intelligence, where IDs are just one part of the data strategy.
This isn't an incremental improvement; it's a new foundation. It’s about acknowledging the role of IDs, but also recognizing their limitations. Marketers who realize and act on this are building competitive advantages that will continue to compound. Those who wait will find themselves perpetually a step behind, optimizing for yesterday while competitors move further ahead.
The intelligence era has arrived. The question is whether you'll architect your strategy for it or let the old playbook hold you back.
