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How to Build a Unified Fan Data Strategy That Actually Drives Sponsorship Revenue

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Sports organisations have spent decades refining three core revenue streams: direct fan spend, media rights, and sponsorship. The playbook is well understood. What is less understood, and far less developed, is the data infrastructure that connects those streams to each other and to the fans who power all of them.

Most organisations know they are sitting on significant amounts of fan data. Ticketing systems, CRM platforms, social channels, digital content interactions: the signals are there. But in the vast majority of cases, that data sits in disconnected silos, producing consulting reports rather than actionable intelligence. The result is a fragmented picture of the fan - one that limits commercial potential across every revenue line.

On a recent episode of Future of Fandom, LiveLike CEO and co-founder Miheer Walavalkar sat down with Aidan Cooney, CEO of Envision Sport Group and co-founder of Opta, to unpack this problem in detail. Cooney has spent 25 years building data and fan intelligence businesses across football, cricket, tennis, and rugby. His perspective on unified fan data, the shift from B2B to B2C thinking, and the convergence of sponsorship and performance marketing offers a practical framework for any organisation trying to move beyond fragmented data toward genuine sports intelligence.

From performance data to fan data: the Opta origin story

Cooney's career started with a simple hypothesis. In the late 1990s, football's status as the world's biggest sport came with surprisingly thin storytelling. Broadcasts offered a scoreline, occasional possession graphics, and goalscorer information. American sports, by contrast, had long used statistics to bring audiences closer to the action.

"If you give fans a higher-resolution understanding of what's happening on the pitch, you bring them closer to the sport they love," Cooney explained. That principle drove the creation of Opta, which transformed how football was analysed, discussed, and consumed. The OptaJoe account became a case study in sports data storytelling, building a following of hundreds of thousands across media, journalism, and the broader sports industry.

But Opta was fundamentally about what happened on the pitch. The return path - how fans reacted to that information and what their behaviour revealed - became the foundation for everything Cooney built next: Ellipse Data, InCrowd, and ultimately Cortex.

The difference between a customer data platform and a fan data platform

One of the most important distinctions Cooney drew in the conversation is the gap between conventional customer data platforms and what a fan data platform actually needs to do. Standard CDPs are designed for rational, price-sensitive purchasers. A fan is something else entirely.

"A fan wants to belong. They're passionate about the player or the team they support. The data that matters to you is very different from a purely rational, transactional data proposition," Cooney said.

The implication is that transactional data - which most sports organisations have invested in through ticketing CRM - is necessary but insufficient. Behavioural data is where the real value sits: how a fan reacts to a particular piece of content, when they react, whether content about a specific player activates more engagement than content about the team as a whole. This is the layer that informs personalisation, shapes content strategy, and ultimately creates trackable, monetizable assets for brand partnerships.

Cooney's platform, Cortex, is designed specifically for this purpose: unifying transactional and behavioural data into a single fan data platform that can activate across channels. LiveLike's engagement and gamification tools then sit on top of that foundation, turning data into community and interaction into measurable value.

The silo problem and why unification comes first

When asked about the most common mistakes sports organisations make with their data, Cooney's answer was immediate: silos.

"Very few organisations have a true single view of their fan base. That is the starting point for everything." Some silos are functional, built by design for specific use cases like ticket sales. Others are structural, created by the relationship between leagues and clubs or by the patchwork of technology vendors an organisation has accumulated over time.

The cost of these silos is not abstract. Without a unified single view, organisations cannot connect their content strategy to their commercial strategy. They cannot attribute sponsorship value to specific fan interactions. They cannot retarget fans who engaged with a poll, a vote, or a piece of branded content. Every disconnected system represents lost compounding value.

Cooney's prescription is direct: "You can't activate until you unify." And the use cases for doing so - from personalised content delivery to integrated brand campaigns - are available now in ways they were not five or even three years ago.

Sponsorship, media, and the hybrid model

One of the most commercially significant ideas in the conversation was Cooney's framing of the convergence between sponsorship and performance marketing. Sponsorship, in its traditional form, has not fundamentally changed since Mark McCormack and Arnold Palmer in the 1960s. It remains an awareness play, hard to attribute, and increasingly constrained as a share of total brand marketing spend.

Performance marketing budgets, by contrast, are growing rapidly. Social media ads, YouTube pre-rolls, programmatic buying: brands are spending heavily on audience acquisition through channels that offer clear attribution. The problem for sports properties is that these two budget pools rarely connect.

"If you create a more diverse set of assets and present them as an integrated media plan, you open up new budget areas within brands," Cooney argued. The opportunity for rights holders is to bridge that gap by combining the premium, trust-based qualities of sponsorship with the attribution model of performance marketing.

In practice, this looks like branded content paired with interactive fan experiences - polls, votes, and predictions that generate first-party data - which can then be used for retargeting and attribution. LiveLike's interactive tools are designed to create exactly these kinds of measurable, brand-integrated fan touchpoints that produce both engagement data and commercial inventory.

AI, personalisation, and the crawl-walk-run path

Both Cooney and Walavalkar addressed the promise and the practical limits of AI-driven fan personalisation. The long-term vision is clear: AI that can serve individual fans with content, offers, and experiences tailored to their specific behaviours and preferences. The economics and infrastructure to do this at true 1-to-1 scale, Walavalkar noted, are still being worked out across every industry.

The pragmatic starting point is cohort-based personalisation. Group fans by location, by behavioural patterns captured in your fan data platform, by engagement tendencies during comebacks or winning streaks. Let cohorts emerge dynamically from the data rather than relying on predefined segments.

"By putting the fan at the centre and serving them at the cohort level, you improve the fan experience, which drives up engagement levels, which drives up the value of the inventory you create on the back of it," Cooney said. "If you then take it to the next level and use AI to super-serve the individual, you drive that engagement and value further."

The compounding logic here is critical. Organisations that delay building cohort-based personalisation while waiting for perfect 1-to-1 capabilities lose years of compounding value - both in fan engagement and in commercial inventory quality.

The B2C shift and why it matters now

Cooney's overarching thesis is that sports organisations are fundamentally B2B businesses today, structured around selling rights to broadcasters and sponsorship packages to brands. The future is B2C: direct, data-informed relationships with fans that create value for both the organisation and its brand partners.

This does not necessarily mean streaming video direct to fans - a path Cooney sees as extremely difficult given the sophistication of existing broadcasters. It means building digital properties that offer genuine value to fans, capturing the behavioural data those interactions generate, and using that data to create a fan balance sheet that reflects the true economic potential of the audience.

"The whole original idea, that the fan base becomes a real balance sheet item, becomes a reality," Cooney said. "And that balance sheet isn't just about the lifetime value of the fan to the sports organisation directly. It's about lifetime value, plus the opportunity for brands to invest in that person over the duration of their fandom."

Listen to the full episode

Hear the full conversation between Aidan Cooney and Miheer Walavalkar on Future of Fandom:

YouTube: https://youtu.be/R6QGy7yHTL8?si=JpT8xGVXzb0jbS7O Apple Podcasts: https://podcasts.apple.com/us/podcast/first-party-data-bigger-sponsorship-the-fan/id1599143416?i=1000773991801 Spotify: https://open.spotify.com/episode/5wxyI5pra2rZXNCrvLJOeM?si=qG31OkP3T2GT5_Ef8YmMAw Buzzsprout: https://www.buzzsprout.com/2518370/episodes/19390787

Key Takeaways

  • A unified single view of the fan is the prerequisite for every commercial use case in sport, yet most organisations still operate with fragmented data silos.
  • Fan data platforms differ from standard CDPs because fan behaviour is emotional, making behavioural signals more commercially valuable than transactional data alone.
  • The convergence of sponsorship and performance marketing opens access to larger brand budgets, but only if rights holders can offer integrated media plans with measurable, interactive assets.
  • Cohort-based personalisation is the practical starting point for AI-driven fan engagement - delaying it sacrifices years of compounding value in engagement and revenue.
  • Organisations that treat their fan base as a balance sheet asset - and build the data infrastructure to