Media Minute19th May 2026
From Challenger to Champion: Why Rethinking Your Data Strategy is Key to Reimagining Growth
Media Minute is WPP Media's series, specifically crafted to empower our clients and marketers for their intelligence era.
Fueled by traditional ID solutions powering formulaic strategies, brands face a crisis of Differentiation. Learn how leveraging data connectivity and AI can unlock unique, uncontested growth opportunities.
We’ve entered the golden age of marketing. There are more opportunities for growth than stars in the sky as the age of addressability has made it easier to reach and engage consumers, across all demographic, geographic, and every other -graphic profile imaginable, everywhere.
In this age, brands can co-create with the very people that consume them, fueling a content engine that’s data-backed, commerce-forward, and human-centric. It’s an age where every single interaction can be linked to sales, and where we can unpack these consumer behaviors and business outcomes in real-time to tap new occasions. Wait a minute… [cue the record scratch interrupting that marketing daydream]
Doesn’t sound like your current reality? That’s because what marketers can do, with all the power of data and AI in marketing today, and what they actually do stands worlds apart. Out went broadcast media, and in arrived the digital age with a shiny promise: precision, at scale, through ID-based targeting. It was a compelling idea. But it was never fully realized by marketers, and it was never really embraced by consumers either.
In fact, most brands are experiencing a crisis in differentiation, especially pertinent for challengers, who by definition thrive on being different. Brands have spent so much energy chasing relevance that they've ended up fitting in more than standing out. And that gap is costly. Even a 1% increase in differentiation can drive significant market share gains (WPP Open Intelligence).
With an overreliance on the same IDs and algorithms, platforms have dictated how brands 'target’ and ‘optimize’ in formulaic frameworks. Meanwhile, the 'privacy tax' of ID-reliant marketing has pushed media CPMs up 22% since 2021. The very infrastructure we thought would accelerate brand power has actually aided in its precipitous decline across almost every category. Brands are paying more, and getting much less in return.
The good news? There's a better way forward for brands to build genuine influence, not just relevant reach, and it's available to reimagine your growth right now.
The landscape shifted. Marketers placed the wrong bets.
Consumer privacy concerns are growing. Regulation is tightening. Walled gardens are locking down valuable data. And the channels that matter most to your consumers; gaming, podcasts, TV, social, influencers, immersive out-of-home (OOH) and in-store experiences, are largely invisible to traditional ID solutions. That's a significant blind spot. Integrated plans that lead with Earned, Shared, and Owned, amplified by Paid media (ESOP), are 2.6x more influential than Paid media alone (How Humans Decide, 2025). You can't afford to leave that on the table.
With this context, let’s be honest about where the industry got things wrong.
Match rates are falling. Centralized ID solutions can only learn from the data between parties that can be matched to an ID. As consumers opt out of sharing personally identifiable information (PII), known audiences are shrinking fast, especially among the younger, more diverse consumers your brand needs for long-term growth.
Available inventory is contracting. Traditional ID solutions only add incremental value to advertising in the open web, which extrapolated to the total media opportunity represents less than 2% of total global media spend (This Year, Next Year, 2025). Nearly two-thirds of those open web impressions are already invisible to ID solutions thanks to data fragmentation and privacy regulations. The remaining available inventory resides in an increasingly narrow corner of the internet, more susceptible to low quality content at best, and ad fraud at worst.
Valuable data is sitting idle. Hindsight is 20/20, and assuming there is but one way to anchor and organize all the world’s most valuable data (IDs) is obviously limiting in an AI world. It doesn’t consider all the other data a brand, and their key partners, will have that is not matchable to a name, address, or email.
AI changes everything. And that's genuinely exciting.
Here's the thing about AI: it's only as good as the data behind it. Models built on ID-based data alone are starting from a limited, increasingly unreliable foundation. But AI trained on the full breadth of signals available to your brand? That's a completely different story.
We're talking about more than identity and consumer data. Think business data, campaign data, supply chain data, and rich contextual, behavioral and cultural signals from the platforms where your consumers are spending their time, their money, and building communities. Every one of those signals makes the model smarter.
By moving beyond just the data that’s matchable to a traditional ID, modern AI data techniques allow marketers to use more diverse data to train models and apply that intelligence across all inventory. This empowers brands to reclaim reach and effectiveness in valuable spaces your competitors locked into legacy ID solutions simply can't see.
By embracing data connectivity and AI to build intelligence beyond IDs, challenger brands are better armed to create a “System of Influence”: a future-proofed communications strategy that deliberately builds a consistent, reinforcing pattern of signals about a brand across people, platforms, and contexts , helping them stand out in the pursuit of meaningful difference in the algorithmic era.
Ready to make the move? Here are three places to start.
The shift away from centralized, identity-based models doesn't have to be overwhelming. The answer is a decentralized, privacy-by-default approach. WPP's Open Intelligence is built exactly for this. It acts as both a flexible data connectivity layer and an AI data model, unifying a brand’s disparate data sources, from their Customer Data Platform (CDP) to their AI content studios, and enriching their intelligence with signals from essential retailers and media platforms. Your existing tools don't get replaced. They get smarter.
Here are three ways to get started:
Connect. For too long, brands have felt they had no choice but to hand their data over to third parties. But that's no longer true. You have a choice, and it starts with prioritizing ownership and control of your own data. Privacy regulations are only getting stricter, and the risks of sharing data unnecessarily are growing. Solutions like WPP's InfoSum let you connect your data with other data owners in a way that's secure and privacy-compliant, without anyone ever moving, sharing or copying the underlying data. The insights you unlock stay yours. They don't fuel your competitors' optimizations.
Collaborate. Once those connections are in place, it's time to put them to work. Unexpected insights can be found in the intersections of data previously unconnectable before. Universal signal translation allows us to understand all data through a common multi-dimensional marketing data ‘language’ and build expansive growth intelligence by training models across a decentralized network of data sources, without exchanging raw data. The result is growth opportunities that no single database could surface on its own, with privacy and security built in by design.
Validate. Test what you build. But measure it against the outcomes that actually matter to your business, not just media metrics that can look skewed when your inputs have now changed. The real advantage of AI data models over legacy ID solutions is that they're much more dynamic. As more data feeds in, the model gets better at understanding what drives your desired outcomes and keeps improving over time.
The difference is clear. This isn’t about buying data and doing some better targeting. This is building the intelligence advantage you need to reimagine growth.
