How Fandom Influences Gen Z Consumer Behaviour and Brand Growth
The science behind fan identity, belonging and the new economics of influence.
Why does one story hold our attention while another loses us within seconds?
Why does one person watch, enjoy and move on, while somebody else joins a community, creates content, buys merchandise and begins to treat the subject as part of their identity?
These are no longer questions for entertainment companies alone.
They matter to brands, platforms, sports organisations, creators, regulators and anyone trying to understand how influence now moves.
Fandom is no longer confined to stadiums, music venues or science-fiction conventions. It forms around creators, games, television programmes, sports teams, products, political movements and, increasingly, AI-generated personalities.
For Gen Z and Gen Alpha in particular, fandom is becoming one of the places where identity is formed, relationships are built and economic decisions are made.
The problem is that most organisations are still measuring it with tools designed for an earlier media age.
They can count views, clicks and purchases.
They are far less able to explain the relationship that caused them.
Why is fandom so important to Gen Z?
A recent Fortune article by Reid Litman described fandom as a new centre of cultural and economic power.
His argument is that young people are no longer simply consuming culture produced for them. They are helping to shape it.
They make edits, write theories, create fan fiction, organise communities, revive old intellectual property and introduce emerging artists to much larger audiences.
A song can become successful because fans repeatedly use it in videos.
A television series can remain culturally relevant between seasons because its audience continues to create around it.
A creator with a committed community can now generate more momentum than an established media company with a much larger marketing budget.
This is partly a result of technology. The internet has removed many of the barriers that once separated audiences from producers.
But technology alone does not explain why people participate.
To understand that, we need to look at identity and belonging.
Research into Gen Z fandom and merchandise consumption has found that participation can be connected with identity formation, personal growth, community, emotional engagement and purchasing behaviour.
The study was qualitative and involved a small number of participants, so it should not be treated as proof of how an entire generation behaves. It does, however, illustrate how closely fandom, identity and consumption can become connected.
People do not always buy fan merchandise because they need another T-shirt, poster or water bottle.
They may be buying a visible sign of who they are and where they belong.
That distinction matters.
The psychology of fandom and consumer behaviour
Fandom is often described as intense enthusiasm.
That misses much of what is actually happening.
A fan relationship can involve several different psychological and social processes:
repeated attention;
emotional attachment;
identification with a person, story or group;
trust in other members of the community;
shared language and rituals;
and a willingness to act on behalf of the thing being supported.
Not every fan displays all of these qualities. Nor are they equally strong in every community.
But when several are present, fandom can move beyond preference and become part of a person’s social identity.
This is why fan communities can influence purchasing decisions in ways that ordinary advertising often cannot.
A recommendation from another fan may feel more credible because it comes from somebody who understands the rules, language and history of the community.
The influence is horizontal rather than top-down.
It travels between people.
This also helps explain why brands are often rejected when they enter fan communities too aggressively. Fans are not simply protecting a product. They may feel they are protecting a shared space, history or identity from being exploited.
A campaign can therefore generate strong reactions even when the brand believes it is only joining a popular trend.
The community may see something very different.
What neuroscience tells us about storytelling and audience engagement
The relationship between stories and behaviour can be studied through physiological response.
In a 2022 behavioural neuroscience study, researchers measured neurophysiological activity while participants watched videos they were free to stop at any time.
The researchers found that their measure of neurological immersion helped predict how long people continued watching. Longer viewing was also associated with a greater likelihood that the video influenced a later behavioural decision.
This does not mean scientists can read somebody’s mind or identify with certainty why a person made a decision.
It does show that self-reported liking is only one part of the picture.
Two people may both say they enjoyed a video. One may have been intensely engaged, while the other watched it with only passing interest.
Their answers look similar.
Their underlying experiences may not be.
This is particularly relevant to the way fan engagement is currently measured.
A view is recorded whether somebody is emotionally involved, distracted, annoyed or simply waiting for the next piece of content.
A like can indicate enthusiasm, social politeness, habit or even irony.
A comment may reflect support, anger or an attempt to gain attention from other users.
The action is visible.
Its meaning is often unclear.
How fan communities influence purchasing decisions
Fandom changes the role of consumption.
A conventional purchase is usually judged by the value of the product or service being bought.
A fan purchase can carry several other forms of value at the same time.
A concert ticket provides entry to an event, but it can also offer shared identity, anticipation and the memory of being part of a crowd.
Merchandise has a practical or decorative use, but it can also signal membership.
Paying for a creator’s subscription may provide access to content, but it can also feel like supporting the continuation of a community.
Travel to a filming location, tournament or fan event may be described as tourism, although the emotional experience can be closer to pilgrimage.
This helps explain why spending within some fan communities remains resilient even when consumers are being more careful elsewhere.
The purchase is not always experienced as a conventional luxury. It can be seen as participation in something that matters.
Recent reporting on the “superfan economy” has highlighted how music, fashion and entertainment businesses are responding to this behaviour with exclusive products, direct fan platforms and physical experiences.
It has also warned that commercialisation can weaken the very relationship companies are trying to benefit from.
That is an important tension.
Fandom creates economic value because the relationship feels meaningful.
If every interaction becomes a sales opportunity, the relationship can quickly lose that meaning.
Fans are no longer just an audience
The language businesses use to describe fans is increasingly out of date.
Terms such as audience, customer and consumer suggest that value moves mainly in one direction.
The company makes something.
The public receives it.
Money and attention flow back.
Modern fandom works differently.
Fans promote, interpret, distribute and extend the things they care about. They often perform work that would previously have sat inside a media company or marketing department.
They translate content.
They make trailers, summaries and recommendation videos.
They organise listening parties and viewing events.
They explain complex story worlds to newcomers.
They defend creators during public controversy.
They keep old content circulating long after the official campaign has ended.
In some cases, they also create the demand for products that do not yet exist.
This does not make fans formal shareholders.
But many now behave more like stakeholders than passive customers.
They invest time, emotional energy, creativity, reputation and money.
That investment changes what they expect in return.
They are more likely to want recognition, access, transparency and a voice in how the community develops.
Why traditional fan engagement metrics are no longer enough
Most organisations still measure fandom through numbers that are easy to count:
followers;
impressions;
watch time;
engagement rates;
sales;
attendance;
and social mentions.
Each can be useful.
The problem comes when they are treated as if they all measure the same thing.
They do not.
Reach measures potential exposure.
Watch time measures duration.
Sales measure transactions.
Comments measure visible participation.
None of them, on its own, measures the quality of a fan relationship.
This is why large audiences can sometimes produce disappointing commercial results, while smaller communities generate unusually strong loyalty and spending.
Research into smaller online communities has found that people may value them precisely because they are narrow and specific. They can offer group identity and more relevant exchanges even when they do not grow to a mass scale.
Size is therefore not always the best measure of strength.
A community with ten million loosely interested followers may be less valuable than one with 100,000 people who repeatedly create, recommend, attend and buy.
The question businesses need to ask is no longer simply:
How large is the audience?
It is:
What kind of relationship does the audience have with us?
How can brands measure fan engagement more accurately?
There is unlikely to be one perfect measure of fandom.
Human relationships are too varied and context-dependent for that.
A better approach is to combine signals and observe how they change over time.
Those signals might include:
how regularly a person returns;
how much attention they give;
whether they create or only consume;
whether they recommend content to others;
how they respond when the subject is challenged;
whether participation happens across several platforms;
how the relationship affects purchasing or attendance;
and whether engagement is strengthening, weakening or becoming dependent.
The purpose is not to label somebody permanently as a fan.
It is to estimate the nature and direction of a changing relationship.
This is closer to forecasting than counting.
Weather forecasters do not claim to know the future with certainty. They bring together multiple signals to estimate what is likely to happen.
A fan relationship can be approached in much the same way.
No individual action proves loyalty, trust or influence.
A pattern of actions can provide evidence that these qualities may be developing.
The future of fandom marketing is relationship measurement
This is where the next phase of fan engagement measurement is likely to develop.
Instead of measuring isolated actions, organisations will begin trying to understand the relationships behind them.
Is the audience merely aware of the content?
Are people paying attention without forming an attachment?
Is a sense of trust developing?
Are people beginning to identify with the community?
Does that identity lead to creation, recommendation or purchase?
Is the relationship healthy and voluntary, or is it becoming compulsive?
These are harder questions than counting views.
They are also far more useful.
Thetafan’s view is that fandom should be understood as a dynamic relationship rather than a fixed audience category.
The aim is not to reduce a complex human experience to a single number. It is to infer different parts of the relationship by looking at behaviour, context and change over time.
That might include measures of trust, loyalty, influence, identification or dependency.
It also means accepting uncertainty.
A score should not be presented as an unquestionable statement about a person. It is an evidence-based estimate produced from the information available.
That distinction will become increasingly important as AI-generated content grows.
What happens when AI learns to optimise fandom?
For most of the media age, content creation was limited by time, money and production capacity.
Generative AI changes that.
Content can now be produced, tested and adapted at enormous speed. Stories, characters and synthetic personalities can be adjusted in response to audience behaviour almost continuously.
This creates clear opportunities.
It may help people find content that is more relevant to them. It could give smaller creators access to production capabilities that were once available only to large companies. It may allow stories and experiences to become more interactive.
It also creates a more difficult question.
What exactly is the system optimising for?
There is a difference between creating something people value and creating something they find difficult to stop consuming.
There is a difference between building trust and engineering dependency.
There is a difference between encouraging participation and repeatedly triggering behaviour because the system has learned an individual’s vulnerabilities.
Watch time and clicks cannot reliably tell us where those boundaries sit.
Future media platforms, regulators and content owners will need better ways to understand the consequences of personalised content.
Not simply whether it worked, but what it did to the relationship.
Fandom may become a leading indicator of economic value
Fandom has always mattered.
What has changed is its speed, reach and visibility.
Digital communities can now organise across borders, spread stories, coordinate action and create demand before traditional institutions have noticed what is happening.
Recent computational research continues to show that aspects of fan emotion and behaviour can be measured at scale, including how sentiment changes around sporting events and team performance.
The science is still developing. Fandom should not be treated as a simple formula, and no measurement system will remove the unpredictability of human behaviour.
But the direction is becoming clearer.
Stories shape attention.
Attention can develop into emotional attachment.
Attachment can contribute to identity and belonging.
Identity can influence creation, recommendation, attendance and spending.
Those behaviours, repeated across a community, create cultural and economic power.
For decades, the media industry focused on measuring how many people were watching.
The next challenge is understanding what the experience is doing to them.
And what they are likely to do next.
The audience is visible. The relationship is not.
Views, clicks and purchases show what people did. They do not explain the strength of the relationship behind that behaviour, how it is changing or what it may lead to next.
Thetafan is developing a new way to measure the relationships people form with content, creators, brands and AI.
Discover how Thetafan is building the measurement system for the next era of influence.