From fandom to checkout: what are we actually measuring?
Sports organisations are becoming increasingly sophisticated at selling to fans.
A supporter can now browse merchandise inside a 3D locker room, use an AI assistant to find the right product, see personalised recommendations and move from watching a match to buying something from the club without ever leaving the digital experience.
That all sounds impressive, and in some cases it probably is. But a new academic review raises a much more interesting question: how do we know whether any of this is actually improving the relationship with the fan?
Researchers from several Romanian universities have brought together 80 sources spanning professional sport, immersive retail, AI-enabled services, consumer psychology and e-commerce to examine how these technologies might create both commercial and relational value. Their proposed Immersive Sport Commerce Conversion Framework separates something that is often bundled together in digital strategy: making a transaction easier and strengthening the underlying relationship are not necessarily the same thing.
That distinction matters far beyond merchandise.
A better shopping experience does not automatically create a better fan relationship
Some digital tools can make a very practical difference. An AI assistant might help a supporter find a shirt more quickly, explain delivery options or navigate a large catalogue. A 3D environment might make products easier or more enjoyable to explore.
Those improvements can have value without changing how someone feels about the club.
The researchers therefore describe two possible routes. One is largely functional, where technology improves search, product evaluation or transactions. The other is relational, where the experience may affect things such as identification, belonging, authenticity, trust or psychological ownership.
It is an important distinction because sport is not ordinary retail.
A shirt is rarely just a shirt. It can carry memories of a season, a city, a family tradition or a player. For some supporters, the club is already part of their identity long before they enter the online store.
That means adding technology to the relationship can either strengthen something that already exists or interfere with it.
A useful AI assistant might feel like good service. An inaccurate one speaking in the club's voice could feel strangely personal. A recommendation based on information the supporter knowingly shared might feel helpful, while the same recommendation based on unexplained tracking could feel intrusive.
The technology may be identical. The relationship is not.
This is where measurement gets more interesting
Digital commerce is very good at measuring the end of the journey.
Conversion. Basket size. Revenue per visitor. Time on site.
Those numbers matter, but the paper argues that they are not enough.
A supporter might spend longer in a virtual store because they are enjoying it, or because they cannot find the exit. A gamified experience might increase an impulse purchase while reducing trust. Personalisation might increase conversion today while making the supporter less willing to share information tomorrow.
The authors therefore propose measuring several different outcomes separately: access and exploration, transactions, the ongoing relationship, community behaviour and the quality of the data exchange between the fan and the organisation.
That is a much richer way of looking at value because it recognises that a fan relationship continues after checkout.
The fan already arrives with a relationship
This is one of the parts of the research that particularly resonates with Thetafan.
Traditional e-commerce often begins with the assumption that the organisation is trying to create preference or loyalty.
Sport is different because much of that attachment may already exist.
A highly identified fan can enter a digital experience carrying years of history, emotion and belonging. The technology does not create that relationship from nothing; it interacts with it.
The research therefore suggests that team identification itself should be measured separately from someone's purchasing history. Someone who buys frequently is not necessarily the same as someone for whom the club forms a deep part of their identity, and treating those two things as interchangeable makes it much harder to understand what the technology is really changing.
That sounds obvious once you say it, but much of digital measurement still struggles with exactly this problem.
We measure behaviour because behaviour is easy to count.
The relationship underneath it is much harder.
More technology is not necessarily more value
The paper is also refreshingly sceptical about the assumption that richer technology automatically produces a better experience.
Immersion can create excitement, but it can also create friction. Gamification can encourage exploration, but it can become pressure. Personalisation can make something more relevant, but it can also feel like surveillance. An AI assistant can make a journey easier, but only if it is accurate, useful and clearly understood as AI.
The authors' practical advice is therefore surprisingly simple: begin with what the fan is actually trying to do, rather than with the technology available to the club.
That might mean better sizing, faster search or multilingual assistance rather than a fully immersive virtual world.
For organisations tempted by the latest AI or metaverse experience, that is probably a useful discipline.
Why this matters to Thetafan
At Thetafan, we focus on the part of the journey that conventional analytics often miss.
A purchase tells us that someone bought something. Repeat purchasing tells us more. But neither necessarily tells us how much the relationship is built around trust, identity, loyalty, influence, dependency or belonging, or whether those characteristics are becoming stronger or weaker over time.
This research reaches a similar conclusion from a commerce perspective.
If clubs begin using AI, immersive environments and increasingly personalised experiences, the important question is not simply whether those technologies generate more activity.
It is whether they create incremental, lasting value without damaging the relationship that made the fan valuable in the first place.
The authors themselves argue that gross sales following a launch are not enough to prove a return. Teams need controls, longitudinal measurement and verified behaviour if they want to separate genuine impact from novelty, timing or demand that would have happened anyway.
That may ultimately be the bigger lesson here.
As fan experiences become more intelligent, immersive and personalised, measuring what people do will remain important.
Understanding what those experiences are doing to the relationship may become even more important.