WPP Bets on Data Collaboration Over Ownership as AI Reshapes Marketing
WPP's acquisition of InfoSum signals a fundamental shift in how marketers think about data. Rather than competing to own the most customer information, brands increasingly need to access richer intelligence without moving that data between systems.
The change reflects two colliding forces: AI systems demand vastly larger volumes of high-quality data signals than any single organization can generate internally, while governments continue tightening privacy rules. This pushes marketers to abandon decades of assumptions about data ownership.
From Ownership to Access
Richard Knott, SVP APAC at InfoSum, frames the shift plainly: "Uber doesn't own cars. Airbnb doesn't own hotels. Yet they achieve scale through collaboration. Data is moving in a similar direction-from ownership towards access."
Technologies like data clean rooms and federated learning enable organizations to combine insights across datasets while keeping the underlying information secure and under the original owner's control. This architecture preserves privacy while still allowing analysis and activation.
The business logic strengthens as AI systems increasingly depend on signal diversity and quality, not just volume. A customer purchasing diapers for the first time, for example, may signal a lifestyle transition that influences future spending across automobiles, insurance, and mobility services.
Success Becomes About Signals, Not Identity
Traditional marketing identified intent through direct behavioral indicators-product page visits, category searches. AI interprets adjacent signals that may reveal future behavior patterns.
This requires rethinking the entire marketing feedback loop. Vishal Jacob, President of Choreograph at WPP Media South Asia, said the focus shifts to identifying audiences, activating them, learning from outcomes, and continuously improving. "The strength of AI comes from how effectively that learning compounds over time," he said.
The question marketers should ask is no longer how many consumers they know, but how much meaningful intelligence they can access.
India's Data Silos Hold Back AI Adoption
Indian enterprises generate substantial consumer data but remain in early stages of building mature data capabilities. Most organizations have data scattered across business functions-marketing, pricing, distribution, growth-making cross-functional use difficult.
Jacob said ownership structures around data remain fragmented, slowing adoption. "The immediate challenge is bringing those datasets together and creating meaningful use cases," he said.
As advertisers, publishers, and platforms move toward direct intelligence sharing, marketing outcomes should become more accountable and growth-oriented. WPP expects the next phase of growth will come not from building bigger data pools, but from building smarter connections between them.
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