How to Measure Fan Engagement When Attendance Numbers Aren’t Enough
Most clubs can tell you exactly how many people came through the gate last Saturday. Very few can tell you who those people were, why they came, or what would bring them back.
That gap is where most programming, pricing and matchday decisions currently get made. Not on evidence — on impressions, habits, and the handful of opinions that reach the marketing office.
The measurement gap most clubs live with
Ask a club how engaged its fans are and you will usually get a number that measures something else. Attendance. Followers. Email opens. All real, all useful, none of them an answer.
The industry knows this. In a 2025 analysis of public fan conversation, 47% of sports executives named creating personalised fan experiences as critically important. The same analysis was blunt about its own limits: publicly available data only tells part of the story, and organisations need their own fan datasets to see the rest.
The temptation is to fill that gap with published research. It doesn’t work, for a simple reason: those studies are not about your fans. L.E.K.’s 2025 sports survey polled 4,520 US adults. It is excellent research. It will not tell a Swiss ice hockey club why its Tuesday crowd is thinner than its Saturday crowd.
And the ground moves faster than any benchmark. That same 2025 survey recorded the WNBA up 65% year-on-year, Formula 1 up 41%, the English Premier League up 35% — while men’s college basketball fell 18% and the NHL fell 8%. Interest is shifting between sports, between formats and between age groups within a single season. A benchmark from a different country, a different sport and a different year is not evidence about your audience. It is a starting hypothesis.
Why engagement KPIs alone don’t answer the question
We’ve written before about the ten fan engagement KPIs that matter most — lifetime value, churn rate, attendance-to-capacity, NPS and the rest. Those remain the right dashboard.
But a dashboard has a blind spot, and it’s worth naming precisely.
Behavioural data tells you what happened. Someone stopped renewing. Someone stopped opening. Someone came twice this season instead of eight times. Your CRM records all of it faithfully.
It never records why. And “why” is the only part you can act on.
A club can watch its renewal rate slide for three seasons and build three different explanations for it — the results, the prices, the weather — without ever testing one. Meanwhile the actual reason may be something no dashboard has a column for: a service that frustrates people, a matchday moment that was quietly removed, a communication that arrives two months after the decision was already made.
Behavioural data is the what. Declarative data — what fans tell you directly — is the why. Measuring fan engagement properly means holding both.
What a standardised fan survey actually measures
Asking fans is not the same as running a poll on Instagram.
A structured post-season survey is built around a fixed set of dimensions so that answers stay comparable — between segments, between seasons, and between clubs. The version we deploy covers five: fan profile, matchday experience, services, loyalty, and digital behaviour.
Two types of data come out of it, and both matter.
Quantitative: rating scores per service, Net Promoter Score, distributions across the fan base. These give you the size of a problem and let you rank what to fix first.
Qualitative: open verbatims, recurring themes, the words fans actually use. These give you the cause, and they’re what turn a low score into a decision.
The standardisation is the part people underestimate. When every club answers the same core questions in the same format, three things become possible that a bespoke survey can never deliver: you can benchmark yourself against comparable organisations, you can measure your own progress season on season with the same ruler, and you can hand a sponsor a real audience profile instead of an attendance figure.
That last point tends to be worth the most money. An audience you can describe precisely is an asset. A crowd you can only count is not.
What six clubs found when they asked
For the 2025-26 season, six clubs across ice hockey, basketball and football ran the same standardised satisfaction survey with their fans. Same core questions, same five dimensions, same analysis method — which means the results can be read side by side.
We’ve published the full findings as a case study. Without giving away the numbers, here is the shape of what came back:
- The highest-rated part of the matchday was not the sport. The single most-loved moment in the stadium is something clubs control entirely, costs almost nothing, and several organisations had been treating as filler.
- One service ranked lowest in nearly every club. The same one, across three different sports and six different venues. It is not the service most marketing plans prioritise.
- A large share of the audience turns out to be a segment almost nobody prices for. It shows up consistently across all six clubs, in a range wide enough to change how you build an offer — and most clubs currently have no product designed for it.
- A significant group is sitting undecided on a season ticket. They are undecided at precisely the moment in the calendar when most clubs stop communicating with them. That timing is a revenue decision, and right now it’s being made by default.
- The sharpest criticism was not about results, prices, or the team. It was about something clubs change casually, without announcing it, assuming nobody would notice. Fans noticed.
Each of those findings has a number attached, a club-by-club breakdown, and a recommended action. Those are in the case study.
From evidence to revenue
The point of measuring is not the report. It’s what the report lets you decide.
When a club replaces assumption with evidence, the changes are usually unglamorous and fast: a pass built for a segment that was already showing up, an offer sent in June instead of September, a matchday moment protected instead of cut, a service fixed before the next season starts.
The commercial effect of working this way is documented across our client portfolio:
- Servette FC: +59% season ticket sales and a 90% renewal rate — achieved alongside a 10% price increase.
- HC La Chaux-de-Fonds: +1,614% CRM growth over five years, +43% attendance, +40% season ticket holders.
- Yverdon Sport: +34% CRM contacts and a 58.46% email open rate.
None of that comes from a better guess. It comes from knowing who is in the stands.
Get the case study
From assumptions to evidence: listening to 2,300 fans covers the full method, the cross-club Net Promoter Score range, the complete findings across all five dimensions, and the prioritised recommendations each club received.
It’s free, it’s short, and it’s built to be forwarded to a board or a sponsor.
FAQ
Use two data sources together. Behavioural data from your CRM and ticketing system shows what fans did — attendance frequency, renewal, email interaction, purchase history. Declarative data from a structured fan survey shows why they did it. Behavioural data alone will show you a problem but never its cause; survey data alone lacks the volume and objectivity to size it. Clubs that measure engagement well run both on a fixed annual cycle so results stay comparable season on season.
The core set is fan lifetime value, churn rate, attendance-to-capacity ratio, Net Promoter Score, email engagement, and per-service satisfaction scores. Which one leads depends on your objective: for retention, churn and NPS; for sponsorship, audience profile and reach quality; for matchday revenue, per-service satisfaction and spend per visitor. Our full breakdown is in the 10 most important fan engagement KPIs in sports.
On the standard Net Promoter Score scale, anything above zero means promoters outnumber detractors, and scores above 50 are generally considered strong across industries. Sports clubs usually score well, because a stadium audience is self-selected — people who dislike the experience simply stop coming and stop answering. That makes the absolute number less useful than two other readings: your position against comparable clubs, and your own trend season on season. Where the six clubs in our case study actually landed, and how wide the spread between them was, is in the download.
Once per season, run at the end of the campaign, with a collection window of three to six weeks. Annual cadence is frequent enough to catch problems before the next season is planned, and infrequent enough to avoid survey fatigue. The critical rule is that the core questions stay identical between editions — the moment you rewrite them, you lose the comparison, which is where most of the value sits.
Yes. The barrier is method, not budget or headcount. What a small club needs is a properly designed questionnaire, a distribution plan that reaches beyond its most loyal fans, and someone to turn the raw answers into ranked decisions. The six clubs in this case study range widely in size and none of them ran the analysis in-house.
