A note on the data The quantified findings below draw on US and UK research; no equivalent Swiss study exists. Following our years of experience in the fitness industry in Europe, our strong assumption is that they still hold value for Switzerland and the wider European market, for a few reasons: the churn they measure looks structural rather than local, members everywhere tend to overestimate how often they will attend, premium clubs everywhere run on similar recurring-contract models, and retention almost always costs less than acquisition. On that basis we would expect the direction of the finding, that fit failure outranks price as a reason members leave, to transfer, even if the exact percentages differ by market. This is an assumption, not a certainty, and we flag it as such. Where we can speak to Switzerland directly, we do, through an analysis of 36'541 Swiss gym reviews. Full per-source detail, including what each study does and does not report, is set out at the foot of this article.
Around one in three members walks away every year. The average annual retention rate for health clubs is 71,4%, which means roughly 28,6% cancel within twelve months. Half of all new members are gone inside six.
For an operator, that is not a marketing problem. It is a matching problem that surfaces months later as a cancellation.
46% of cancellations come down to "not visiting enough to justify the cost." That is a usage failure, not a price failure. IHRSA cancellation research · US · sample not reported
You pay 5x to replace members who were never a fit
And the biggest reason they leave is fixable before they ever sign.
5x
Cost to acquire vs. retain
Every avoidable cancellation reburns that acquisition spend.
50%
Quit within 6 months
Half your new members are gone before they pay back their CAC.
Where that churn comes from
Members who fit, e.g. group-exercise joiners, churn 56% less. Fit is the lever.
In Switzerland, members don't turn against the training.
They turn against the company around it.
Our study of 36'541 Swiss reviews found praise clusters on coaching, atmosphere, the gym itself; friction clusters on contracts, billing, and sales pressure. vyvo matches on fit before the contract, so the members who reach you are the ones who stay.
The reasons members give are mostly about fit, not price
The instinct is to read churn as a price story. The data does not support that.
When members are asked why they cancel, the largest single reason is that they were not visiting often enough to justify the cost, at 46%. Financial constraints account for 22%. Relocation, the only genuinely unpreventable reason, accounts for 15%.
Read the top reason again. "Not visiting enough" is not a pricing failure. It is a usage failure, and usage failure is what a bad match looks like in the data. A member who picked a club that did not fit how they train stops showing up, then cancels the line item they no longer use.
The window is narrow. Attendance in the first weeks predicts the outcome: members who visit rarely in their first month are far more likely to cancel. The decision to leave is effectively made early, then formalised later.
How a member trains predicts whether they stay
The clearest evidence that fit drives retention comes from a single large study. Members who took part in group exercise retained at 88%, against 82% for members who only used equipment.
56% higher cancellation risk for members who only used equipment, against those who found a format that suited them. The Retention People · n=10'000 · UK · follow-up to 2014
The mechanism is not the class itself. It is that a member using the club the way it suits them stays. A member who signed up for a facility that does not match their preferred way of training drifts.
Fit is not a soft attribute. It is the variable underneath the retention curve.
The economics make the case on their own
Retention is the more efficient side of the growth equation.
5x more expensive to acquire a new member than to keep an existing one. IHRSA · widely cited industry figure · US/global
A 5% increase in retention has been associated with profit gains between 25% and 95% (retention-economics research, cross-industry, originally Reichheld/Bain).
This reframes the lead itself. A lead that converts but churns in ninety days is not a win. It is an acquisition cost that never amortised. The quality of the match at the point of sale sets the ceiling on the return.
50% of all new members are gone within the first six months. IHRSA · US · 2020
What this looks like in Switzerland
The international data measures how much churn happens and confirms that fit drives it. It does not describe the Swiss market specifically, and no Swiss churn study exists in the public record. This is a gap, and it is stated as one.
The closest available Swiss evidence is a review analysis: 36'541 Swiss gym reviews. It does not measure churn rates. It measures what Swiss members praise and complain about, which maps onto the reasons they eventually leave.
The pattern is consistent across the corpus. Praise concentrates in the gym itself: coaching and atmosphere. Friction concentrates in the commercial layer: contracts, billing, sales pressure. Members do not turn against the training. They turn against the company around it, and a mismatch between what they expected and what they signed compounds that friction.
For an operator, the implication is direct. The members who complain least and stay longest are the ones for whom the club was the right choice before they signed. That match is made upstream, at the point of decision.
Where vyvo fits
vyvo is an independent platform that matches Swiss members to premium clubs on fit, before the contract. Members state their budget, goals, and preferred way of training. The match is built on that, not on who paid, because no club pays for placement.
For an operator, that changes the nature of the lead. A member who reaches you through vyvo has already been matched to what you offer. The usage failure that drives the 46% is addressed at the source, not managed after the fact.
The costliest churn is the member who never fit. Matching on fit is how you stop paying for it.
How we know this
Each figure below carries its source, sample size where reported, geography, and year. Where a source does not publish a detail, this section says so rather than inventing one.
| Claim | Source | Sample | Geography | Year |
|---|---|---|---|---|
| 71,4% annual retention / 28,6% churn | IHRSA | Member clubs, aggregate. Original n not published | US | 2020 data |
| 50% of new members quit within 6 months | IHRSA | Not published | US | 2020 data |
| Cancellation reasons: 46% / 22% / 15% | IHRSA cancellation research | Not published | US | Not published (recent) |
| Group vs gym-only retention: 88% vs 82%; cancellation risk +56% | The Retention People | 10'000 members, tracked longitudinally. Best-documented figure in the set | UK | Follow-up to 2014 |
| Acquisition costs ~5x retention | IHRSA, industry figure | Not published; cross-cited aggregate | US / global | Not published (recent) |
| 5% retention lift, 25 to 95% profit | Reichheld / Bain | Cross-industry, not fitness-specific | Global | Foundational |
| Praise vs friction pattern | vyvo corpus analysis | 36'541 reviews. Review sentiment, not churn data | Switzerland | 2025 |
Limitations, stated plainly. International figures are US and UK; there is no Swiss churn study, and the Swiss evidence here is review sentiment, not cancellation data. The best-documented figure is the fit-and-retention finding (The Retention People, 10'000 members, tracked to 2014). Several IHRSA figures are widely cited industry aggregates whose original sample sizes and exact years are not published; where a detail is not published, the table above says so rather than estimating. The vyvo corpus figures are pending re-verification against source before publication.
Patrick Cuesta is the founder of vyvo, Switzerland's independent premium fitness decision engine. Before vyvo he was on the early team at Gymondo and spent fifteen years advising more than thirty companies across industries, fitness among them. He built vyvo on one conviction: a comparison system is only useful when it is completely independent, with no paid placements.
