Planet Fitness Can Live With 3.5 Percent Monthly Churn. Your Club Cannot

A trainer guides a member through a squat exercise in a gym

Planet Fitness closed its second quarter with 21.5 million members and told analysts that monthly attrition averaged 3.5 percent in the quarter, the midpoint of the 3 to 4 percent range the company describes as historical.

Nobody on the call treated it as news, and at that price point nobody should have. With memberships starting at 15 dollars and an acquisition machine that has logged more than 12 million workouts to date through its free High School Summer Pass alone, churn at that level is a planned line item, absorbed the way a supermarket absorbs shrinkage.

The trouble begins when the number escapes into the rest of the industry as a benchmark. One studio owner finds 3 percent in her own report and files retention under control; another sees 5 and reads Planet Fitness with envy. Both are measuring themselves with someone else's ruler, built for a business that sells a different promise at a different price.

Both of them should run the compounding first.

What 3 percent a month really costs, and what the average hides

Three percent monthly attrition means that of the members on your books in January, roughly 30 percent are gone by the following January. A 600 member club at that rate is processing around 18 cancellations every month, which is more than 200 memberships a year that new sales have to replace before the club grows by a single person.

The aggregate also hides where the losses happen, because a rate computed across the entire base, ten year veterans included, says nothing about who is doing the leaving. Attrition is front loaded: industry research long attributed to IHRSA, now the Health and Fitness Association, has put the figure at roughly half of new members gone within their first six months. A calm looking headline rate and half of the newcomers lost before their habit ever forms can be the same club, read at two different zoom levels.

So a club reading 3 percent on the whole base can easily be losing new members at double or triple that rate, with the calm behavior of its long timers hiding the leak.

Each of those replacements has a real cost: the ad spend, the trial management, the front desk hours, the discounted first month. Whatever your acquisition cost per member is, multiply it by 200 and you have the annual invoice for treating churn as weather.

And the conditions around that invoice are tightening. In the same call, Planet Fitness reported that same club sales grew 1.7 percent, driven entirely by rate growth rather than by member growth, that membership was flat against the first quarter, and that later in the third quarter it will test a limited time 10 dollar promotion on its entry card nationally.

The company frames the test as a way to reinforce affordability and drive acquisition, and says explicitly that it is not a step back from the 15 dollar price.

Either way, when an operator at that scale puts a promotional offer back in the market, the offer everyone below it has to beat gets cheaper. Every cancellation you prevent is marketing you do not have to buy in an auction against a 15 dollar competitor.

A churn rate that works at 15 dollars costs five times as much at 70

The deeper error in borrowing the benchmark is that acceptable churn depends entirely on what a membership costs to sell and what it promises to deliver.

High volume low price clubs run on cheap access, industrial acquisition and thin service, and their economics digest high attrition by design. A club charging 70 or 90 dollars a month with coaching in the pitch lives in a different equation, where each lost member takes a meaningful revenue stream and a broken promise out the door with them. Plenty of clubs at that price already run at or above Planet Fitness's rate. That is the problem, not the defense: the same percentage carries several times the revenue out the door.

There is an honesty in the budget model worth acknowledging: it never promised that anyone would follow you. The price says so, and members hear it clearly, which is why the promise is rarely what they leave over.

A club that charges four to six times more has implicitly promised the opposite. Its leavers are disproportionately the members for whom the promise went undelivered, the ones nobody greeted, whose missed Tuesdays nobody noticed, whose stalled program nobody adjusted. They did not choose a competitor; they concluded that no one would notice the difference if they stopped coming, and they were right.

Your real benchmark is how many new members are still active at three and six months

Industry averages blend budget chains, boutiques, franchises and municipal facilities into a single meaningless figure. The benchmark that matters is your own cohort curve, and it takes an afternoon to build. It also goes stale the moment the next cohort joins, which is the whole problem with building it by hand.

Take everyone who joined in each month of the last year and check how many were still active at 30, 90 and 180 days. The shape will almost certainly show a cliff somewhere between month three and month six, and that cliff, not a national average, is the number your retention work should be judged against.

Count active members, not paying ones. A member who pays and never comes is churn that has already happened but not yet been invoiced, and treating her as retained is how clubs surprise themselves in renewal season.

The cohort curve also tells you where intervention pays. If the cliff sits at month four, the decisive contact has to happen in month two or three, while the habit still has a pulse, not when the cancellation form is already open.

If you do nothing else this week, pull last January's joiners and count how many are still walking through the door.

Members stay when they see results, and no coach can follow hundreds without technology

None of this analysis keeps a single member on its own. Members leave in the months before the habit forms, and the habit stays fragile until the member sees results: the load that went up, the resting heart rate that came down, the string of weeks that did not break. Results rarely show themselves: someone has to measure them, notice them and put them in front of the member. That is what following someone means, and following people is expensive.

Three coaches cannot genuinely track six hundred members; from memory, a good coach holds perhaps twenty regulars. The usual outcome is that attention flows to the members who ask for it, who are rarely the ones about to leave.

Planet Fitness is building the same tool. In the same call, management said it is deepening its retention work with a predictive AI churn model integrated into its CRM, designed to catch early signals of abandonment. When an operator whose economics tolerate churn by design starts investing in predicting it, the category has stopped being optional.

This is where software earns its keep in retention: not by talking to members, but by deciding which members a human should talk to. A system that reads attendance and effort for every member and produces a short ranked list each Monday, the way UPTIVO's DASH does with its churn risk score, does not save anyone by itself; it decides where the ten minutes between classes go.

Paired with NATE Assistant, the AI copilot for the trainer that reads each member's training history and drafts the analysis, the program and the follow-up for the coach to approve, it lets the same three coaches put their attention where the data says it is needed this week, not where memory happens to land. Nothing reaches a member without a human sign-off.

Whatever tool does it, the underlying fact stands: capacity, not caring, was always the bottleneck, and capacity is the one input in this business that has actually gotten cheaper.

Judge your churn against the promise you priced

Planet Fitness can live with 3.5 percent monthly churn because its promise is a clean, cheap, judgment free room, and it delivers exactly that at extraordinary scale.

Your club made a different promise the moment it priced itself above the budget tier. The only churn benchmark that means anything is whether the people who bought that promise are still in the building when it comes time to renew, cohort by cohort, month after month.

Borrowed numbers are comfortable, and comfort is the most expensive thing a retention strategy can contain.

If you want the Monday morning list without building it by hand, that is what DASH's churn risk score produces from your club's attendance data.