Updated October 7, 2026 · NexScale Team
The average fitness operator keeps about two in three members each year: the Health & Fitness Association reported 66.4% annual member retention in its 2025 benchmarking report. New members are the biggest risk, because in one large study about half of new gym members had stopped showing up by month three. If your annual retention is below 66%, or your first-90-day drop-off is above half, the fix is usually an early-warning system, not more marketing.
What is the average member retention rate for gyms and studios in 2026?
The most recent large benchmark is the 2025 HFA Fitness Industry Benchmarking Report. It covers more than 17,000 facilities across 27 countries and reports that member retention averaged 66.4% for the year. In simple terms, the average operator replaces about one in three members every year just to stay the same size.
The 2026 HFA Global Report, released on September 14, 2026, shows the industry is growing: the median operator saw 10.7% revenue growth and 6.1% net membership growth in 2025. Revenue growing faster than membership makes each member more valuable, which makes retention more important, not less.
What does 66% annual retention mean per month?
Annual retention hides how fast members leave each month. The table below converts annual retention into an equivalent monthly churn rate, and shows how many members a 300-member studio has to replace each year. This is arithmetic, not a target from a study.
Annual retention | Equivalent monthly churn | Members to replace per year |
|---|---|---|
55% | 4.9% | 135 |
60% | 4.2% | 120 |
66.4% (HFA 2025 average) | 3.4% | 101 |
70% | 2.9% | 90 |
75% | 2.4% | 75 |
80% | 1.8% | 60 |
The gap between 66% and 75% looks small on paper. At 300 members it is about 26 members a year who stay, renew and refer instead of leaving.
When do new members stop coming?
Early. A 2021 study by Oliveira and colleagues followed 3,802 members of two gyms through their entry-system records for 12 months. Across both gyms:
about 50% had stopped attending by month 3,
about 66% by month 6,
about 85% by month 12.
These numbers measure members who stop showing up, not cancellations. That is the point: attendance drops long before the cancellation email arrives.
How long before cancelling do members stop showing up?
In a well-known study of three US health clubs (DellaVigna and Malmendier, American Economic Review, 2006), members on monthly contracts waited on average 2.31 months between their last visit and cancelling. For most of that time the member is still paying, still reachable, and still undecided. This is the window where a personal check-in works best, and the window most teams miss because nobody is watching every member every day.
Why does a small retention gain matter so much?
Research by Frederick Reichheld of Bain & Company found that a 5% increase in customer retention can increase profits by 25% to 95%, depending on the industry. Retained members renew, refer friends, and cost nothing to re-acquire. Treat this as an illustration of leverage, not a promise for your studio.
How do you measure your own retention the right way?
Use one formula and keep it for at least a year:
Pick the period. Use 12 months for annual retention, or one calendar month for monthly churn.
Count members active at the start of the period.
Count how many of those same members are still active at the end. Do not add new joiners.
Divide step 3 by step 2. That is your retention rate. Monthly churn is 1 minus monthly retention.
Handle freezes the same way every time. Exclude frozen and paused members from both counts so the number is not flattered.
Track cohorts. For each joining month, measure how many members still attend at 30, 60 and 90 days. A total retention number hides the early leak described above.
What do operators with strong retention do differently?
They treat the first 90 days and the "quiet weeks" before a cancellation as a system, not a feeling:
They set a visit goal for every new member in the first two weeks and follow up personally when it is missed.
They review lapse signals every week, not every quarter.
They compare each member with that member's own normal pattern. A drop from three visits a week to one matters more than the total number of visits.
They make the follow-up personal and human, written in the owner's voice.
This is the work a lean team struggles to do every day. NexScale does it as an AI Business Partner, NexScale Chloe™: it connects to the CRM you already use, watches every member's engagement, flags members who are drifting with the aim of catching them 6 to 8 weeks earlier, and prepares a personal message for your approval. Results vary by business; the benchmarks above are reference points, not guarantees.
Frequently asked questions
Is 66% a good member retention rate? It is about average. HFA reported 66.4% average annual retention in its 2025 benchmarking report. Compare against your own last 12 months first, then against this average.
What monthly churn rate matches 66% annual retention? About 3.4% a month. Use the table above to convert your own annual number.
When are members most likely to quit? In the first three months. In the Oliveira 2021 study, about half of new members had stopped attending by month three.
How early can you spot a member who is about to cancel? Usually weeks before. In the DellaVigna and Malmendier study, members on monthly contracts waited on average 2.31 months between their last visit and cancelling. A falling visit frequency is the earliest visible sign.
Should I measure retention monthly or yearly? Both. Monthly churn shows problems quickly; annual retention and 90-day cohorts show whether your member experience is improving over time.
Sources
Health & Fitness Association, 2025 Fitness Industry Benchmarking Report (released Sept 30, 2025): https://www.healthandfitness.org/hfa-releases-2025-fitness-industry-benchmarking-report/
Health & Fitness Association, 2026 HFA Global Report: https://www.healthandfitness.org/2026-hfa-global-report/
Oliveira et al. (2021), Dropout predictors at gyms: a retrospective study, Revista Brasileira de Ciências do Esporte: http://www.scielo.br/j/rbce/a/WtzM3gBFRkcrqY7xKZsVNnm/?lang=en
DellaVigna, S. and Malmendier, U. (2006), Paying Not to Go to the Gym, American Economic Review 96(3): https://www.aeaweb.org/articles?id=10.1257/aer.96.3.694
Reichheld, F., Bain & Company, Prescription for cutting costs: https://media.bain.com/Images/BB_Prescription_cutting_costs.pdf
Related reading
Why churn starts in the first 3 months: https://www.nexscale.ai/resource-hub/why-churn-starts-in-the-first-3-months
How AI churn prediction spots at-risk members weeks earlier: https://www.nexscale.ai/resource-hub/member-churn-prediction-fitness-ai
Member win-back campaigns: https://www.nexscale.ai/resource-hub/member-win-back-campaigns-ai
Get started with NexScale → https://www.nexscale.ai/contact#getstarted 3 month intro period. 100% satisfaction guarantee.



