The most important fandom signals don’t show up in traditional metrics.
For a long time, growth has been assessed through a familiar lens: views, reach, impressions, engagement rates. These numbers are useful.. to a point. They tell us something travelled, it landed somewhere, and it was noticed.
But fandom doesn’t live in those moments alone.
Views aren’t trust. Engagement isn’t care. And scale isn’t belonging.
The mistake isn’t relying on metrics. It’s assuming they tell the full story, when in fact there are signals that tell us so much more.
Why the numbers can look healthy while fandom feels thin
It’s increasingly common to see brands, rights holders, and platforms hit their targets on paper, while still struggling to build momentum, advocacy, or long-term connection.
That disconnect exists because traditional metrics are designed to capture exposure, not attachment.
They tell us what people saw. They rarely tell us what people felt, remembered, or carried forward with them.
Fandom, by contrast, is built slowly, emotionally, and more often than not, invisibly. It develops through repeated connections, shared meaning, and most importantly of all, trust.
And none of this scales in a linear way.
Fandom reveals itself in behaviour
One of the clearest indicators of fandom isn’t how many people engage, but how they engage, especially over time.
Do people keep talking after the moment has passed? Do they explain the world to others? Do they debate decisions, defend intent, or challenge direction?
These behaviours don’t always generate particularly impressive numbers. They’re often much quieter, messier, and far harder to quantify. But they’re also so much more revealing.
A smaller group of people returning consistently, building on shared memory, and investing emotionally is a stronger fandom signal than a large one-off spike of attention.
Why engagement is an incomplete proxy for care
Likes, comments, and shares are often treated as evidence of connection. But interaction alone doesn’t tell you whether someone feels attached.
Fandom is defined less by reaction and more by interpretation. Fans don’t just respond to content… it goes deeper. They integrate it into an ongoing relationship with a world, a team, or a story.
That’s why fandom growth can look slow or even stagnant through conventional measurements.
That is until it suddenly shows up as outsized cultural relevance, resilience during controversy, or unexpected spend.
Trust is the hardest thing to see, and the easiest thing to miss
Trust is one of the most important drivers of fandom, and one of the least visible through traditional measurement.
You see trust when:
- fans give the benefit of the doubt during missteps
- criticism is detailed and protective rather than dismissive
- people wait for the next chapter instead of disengaging
- conversations continue even when there’s nothing new to promote
These are emotional signals. Relational signals. They don’t fit neatly into tarditional ways of measuring audience engagement.
BUT… they are what determine whether people stick around.
Spend follows meaning
Another common assumption is that more reach naturally leads to more revenue.
In fandom, that’s rarely true.
Fandom spending is often much more selective. The decision to spend isn’t driven by frequency of exposure, it’s driven by emotional resonance. Whether or not somebody cares really matters.
That’s why smaller, deeply connected fandoms often outperform much larger audiences when it comes to conversion.
What actually matters if you’re trying to understand fandom
If traditional metrics only tell part of the story, what should you be paying attention to?
Look for patterns like:
- people returning repeatedly without prompting
- fans creating their own explanations, edits, or interpretations
- disagreement that references shared history or values
- language shifting from “they” to “we”
- conversations that persist between official moments
These signals are harder to capture, but they’re far more predictive of long-term relevance and value.
The real challenge isn’t measurement. It’s interpretation
Data isn’t the enemy here. Misreading it is.
Traditional metrics are good at showing what happened. Fandom signals help you understand why it mattered, and whether it will matter again.
When organisations optimise only for what’s easiest to count, they end up chasing attention rather than building connection. And attention, on its own, is fleeting.
The takeaway
Metrics can tell you if something was seen. Fandom is revealed in what people choose to do next.
If you want to understand whether you’re really building fandom, you have to look beyond surface-level numbers and pay attention to behaviour, memory, and emotional investment.
Because the most important fandom signals don’t sit neatly in reports.
They live in connection.
Looking to go deeper?
Check out my new Substack Fandom Power: Signals
Fandom Power: Signals is a paid Substack for people who need to understand how fandom actually works , and what that means for strategy, growth, and commercial decision-making across sport, entertainment, gaming, fashion, music, and culture.
If the free Fandom Power newsletter on LinkedIn explores what’s happening in fandom culture, this is where we focus on what to do with it.
This article was originally published on my LinkedIn Fandom Power Newsletter, updated for the site.
