Vertical Playbooks · emerging evidence
Membership, Habit, and the Search Funnel: How Fitness and Wellness Consumers Decide
How fitness consumers choose a studio is now a two-part question, and only one part has firm evidence behind it. The membership side is well documented: a record 81 million Americans belonged to a gym or studio in 2025, cost-sensitivity is elevated, and members increasingly mix in-person and at-home training rather than committing to one channel. The discovery side, how a mover actually finds and picks which studio to try first, is a genuine white space with no fitness-specific study behind it. This playbook separates what the data establishes from what is reasoned inference, and it argues that in one of the most crowded local categories there is, the surfaces a buyer checks in the moment of decision, chiefly the map pack and the review signal, most plausibly still govern which studio gets the first visit.
The first visit is where the whole model turns
A fitness business does not monetize a search. It monetizes a habit. Revenue depends on converting a first visit or a trial class into a paying member, and then holding that member through the fragile early weeks when a routine is not yet a routine. Everything upstream of that first visit, the discovery, the shortlist, the decision about where to book, is the funnel that feeds it.
That structure makes the discovery moment consequential in a way it is not for a one-time transaction. If a prospective member never encounters a studio at the point of decision, the studio does not merely lose one booking. It loses the entire lifetime of a member it never met, and it loses that member silently, with no record that the loss occurred. The purpose of this playbook is to look carefully at what is actually known about that moment, and to name plainly the parts that are not.
What the membership data establishes
The strongest evidence in this domain concerns membership and behavior rather than discovery. The Health and Fitness Association, formerly IHRSA, reports in its 2025 US Health and Fitness Consumer Report that a record 81 million Americans belonged to a gym or studio in 2025, roughly 26.1 percent of the population aged six and older, with membership having recovered past its pre-pandemic level. This is a large, stable, industry-primary dataset, and it is the firm ground this playbook stands on.
Two findings from that report matter most for how a buyer decides. First, cost-sensitivity is elevated: the fitness consumer of 2025 is measurably more price-aware and more inclined toward deal-seeking than in prior cycles. Second, modality is no longer a binary. Members increasingly combine studio visits with at-home and digital training rather than choosing one channel exclusively. The market did not simply recover to its old shape. It recovered into a different, more hybrid pattern of behavior.
The bifurcation: deal-seekers and modality-mixers
Put those two findings together and the consumer base reads as bifurcated along two axes at once. On price, the elevated cost-sensitivity in the Health and Fitness Association data describes a buyer who treats a first class or an intro offer as a low-commitment trial rather than a considered purchase, and who is willing to shop across nearby options before committing. On modality, the same buyer may hold a studio membership and a home-workout habit simultaneously, which means a studio competes with the studio down the street and with the friction of staying home.
For a studio owner the operational reading is that the value proposition has to survive a comparison the buyer runs quickly and often, and that the studio has to earn the trip. Neither pressure is a discovery finding on its own. Both, though, raise the stakes of the discovery moment, because a price-aware, hybrid buyer has more reasons to defer or default to whatever option is most visible and most reassuring at the instant of decision.
Where the evidence runs out: the discovery white space
This is where the evidence stops. The membership and cost-sensitivity findings above are established. The claim that the map pack decides which studio gets tried first is not established in the same way, because no fitness-specific study of search and discovery behavior was located in the research behind this piece. The Health and Fitness Association data describes how members behave once they are members. It does not describe how a prospective member searches, shortlists, and chooses a studio in the first place.
This is a genuine gap in the literature, not a temporary absence of a citation. Marketing content across this vertical repeats confident percentages about how gym-goers find studios, but those figures generally trace back to vendor blogs rather than to a disclosed primary methodology, and this playbook will not reproduce them. The discovery behavior of fitness consumers is a white space, and any claim about it should be labeled as reasoned inference or as evidence borrowed from adjacent categories, never as a fitness-specific fact.
Why the map pack most plausibly still governs the first trial
With that caveat set, the inference can be built on its merits. Fitness is one of the most crowded local categories that exists. In a dense metro a mover may have five or more studios within a ten-minute radius, and when supply is that thick and geographically clustered, price and location stop functioning as differentiators because too many options share them. The decision then tends to collapse onto whatever is most visible and most credible at the moment of choice.
The moment of choice for a local service is increasingly a "near me" query resolved inside a map pack: a short, ranked set of nearby businesses with pins, hours, and a star rating, presented above the ordinary list of links. This mechanism is well understood as the dominant surface for local-intent search, and its behavior does not change by vertical. A price-sensitive, convenience-driven buyer looking for a class tonight is exactly the buyer that surface is built to capture. It is therefore a reasonable, mechanism-based inference, not a proven fitness-specific finding, that the map pack and its adjacent review signal are the surfaces most likely to decide which studio a first-time mover actually tries.
The hybrid buyer raises, not lowers, the stakes
One might argue that a hybrid, at-home-capable consumer needs the local pack less. The more likely reading is the opposite. A buyer who can always default to a home workout requires a stronger, more immediate reason to leave the house, and the studios that supply that reason at the point of decision, through a complete profile, fresh reviews, and a legible intro offer, are better positioned to convert an idle intention into a booked first visit.
The reputation signal in a price-sensitive decision
The one piece of hard causal evidence adjacent to this decision concerns reputation. Michael Luca's study of Yelp ratings and revenue found that a one-star increase in a business's rating was associated with a 5 to 9 percent change in revenue, and, critically, that the effect was concentrated among independent businesses rather than chains. Chains carry a brand that already answers the trust question, so the review aggregate moves them little. Independents do not, so the synthesized rating carries the weight that word of mouth once carried alone.
That finding is established for restaurants, which is the setting Luca studied. Extending it to fitness studios is an extrapolation, and it should be labeled as one, because no equivalent large-sample study of ratings and revenue in the fitness category was located. The logic, however, transfers cleanly: most boutique studios are independents, not chains, and a cost-sensitive buyer weighing a trial has every incentive to lean on the review aggregate as a proxy for quality they cannot verify in advance. Industry-primary surveys of local consumers, such as BrightLocal's long-running Local Consumer Review Survey, corroborate that reviews are among the signals consumers routinely consult before choosing a local business, though those are self-reported survey sources and are tiered accordingly.
What a studio owner should and should not conclude
The defensible conclusions are narrower than the marketing narrative but more useful for it. It is established that fitness membership is at a record high, that the buyer is more price-sensitive, and that the buyer is hybrid across modalities. It is a well-supported inference, resting on how crowded local categories and map-pack search behave rather than on a fitness-specific study, that visibility and reputation at the moment of decision materially shape which studio wins a first trial. And it is an extrapolation from established research, not a fitness-specific fact, that the review aggregate is likely to carry outsized weight for an independent studio.
What a studio owner should not conclude is any precise number about how gym-goers search, because no such number has a trustworthy primary source. The correct response to a white space is not to fill it with a borrowed statistic. It is to measure the specific thing that matters, which is whether a given studio actually appears, and appears credibly, on the surfaces where its real prospective members decide. That measurement is available to any studio today, and it is the starting point that the industry's repeated but unsourced claims cannot substitute for.
The evidence
Key findings, with their sources
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A record 81 million Americans belonged to a gym or studio in 2025, about 26.1 percent of the population aged six and older, with membership recovered past its pre-pandemic level.
established Health and Fitness Association (formerly IHRSA), 2025 US Health and Fitness Consumer Report.
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Fitness-consumer decision-making has bifurcated: cost-sensitivity is elevated and members increasingly mix in-person and at-home modalities rather than choosing one channel exclusively.
established Health and Fitness Association (formerly IHRSA), 2025 US Health and Fitness Consumer Report.
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A one-star increase in a business's Yelp rating was associated with a 5 to 9 percent change in revenue, with the effect concentrated among independent businesses rather than chains.
contested Luca, M., "Reviews, Reputation, and Revenue: The Case of Yelp.com", Harvard Business School Working Paper No. 12-016, 2011 (rev. 2016). Established for restaurants; extension to fitness studios is extrapolation.
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Reviews are among the signals local consumers routinely consult before choosing a local business.
emerging BrightLocal, Local Consumer Review Survey (2024 and 2026 editions), used as an industry-primary self-reported survey source.
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No fitness-specific study of how consumers search for and choose a studio was located; discovery behavior in this vertical is a documented white space, and circulating vendor percentages lack a disclosed primary methodology.
contested RavenEye research synthesis of the available literature, 2026 (gap explicitly flagged; not a positive finding).
Calibration
What is proven, what is promising, what is unproven
| Evidence tier | Tactics | What the evidence says |
|---|---|---|
| established | Anchor messaging on record membership, elevated cost-sensitivity, and hybrid modality; treat the first visit as the conversion event. | Health and Fitness Association, 2025 US Health and Fitness Consumer Report. |
| established (adjacent) | Prioritize the review aggregate as a decision signal, especially for independent studios competing on trust rather than brand. | Luca (2011/2016) ratings-and-revenue finding, established for restaurants. |
| emerging | Assume prospective members check reviews as part of the local-choice process; corroborate with your own data before quoting figures. | BrightLocal Local Consumer Review Survey (self-reported). |
| contested / white space | Treat "the map pack decides the first trial" as a mechanism-based inference to test per studio, never as a fitness-specific fact; measure actual visibility rather than borrow a statistic. | No primary fitness discovery-behavior study located; vendor percentages unsourced. |
Reference
Glossary
- Map pack
- The ranked set of nearby businesses, shown with pins, hours, and a star rating, that a search engine returns above the ordinary link list for a local-intent query such as "yoga near me".
- Hybrid modality
- A consumer pattern in which a member combines in-studio training with at-home or digital workouts rather than committing to a single channel.
- First-trial decision
- The moment a prospective member selects which studio to visit or book first, the point at which discovery converts into an opportunity to win a member.
- White space
- A subject on which no trustworthy primary evidence currently exists, so any claim about it must be labeled as inference or as evidence borrowed from an adjacent category.
- Credence signal
- A proxy a buyer relies on to judge quality they cannot verify before purchase, such as a review aggregate standing in for a class they have not yet taken.
Straight answers
Frequently asked questions
How do fitness consumers choose a studio?
The membership behavior is well documented and the discovery behavior is not. Established data shows the 2025 fitness consumer is price-sensitive and hybrid across modalities. How that consumer searches for and shortlists a studio has no fitness-specific study behind it, so the answer is a reasoned inference: in a crowded local category, the surfaces a buyer checks at the moment of decision, chiefly the map pack and the review signal, most plausibly govern which studio gets tried first.
Does the map pack really decide which studio gets tried first?
It is a well-supported inference, not a proven fitness-specific fact. The map pack is the dominant surface for local-intent search across every vertical, and fitness is one of the densest local categories, which pushes the decision onto whatever is most visible and credible in the moment. The correct move is to measure whether your own studio appears there for your real buyer questions, rather than to assume the answer either way.
Do online reviews affect whether someone books a studio?
The strongest evidence is adjacent. Michael Luca's Yelp study found a one-star rating increase was associated with a 5 to 9 percent revenue change, concentrated among independent businesses. Most boutique studios are independents, so the logic transfers, but applying a specific number to fitness would be extrapolation. Treat reviews as a high-weight signal to manage honestly, using real member reviews only.
Why does this article avoid the common statistics about how gym-goers search?
Because those figures generally trace back to vendor blogs rather than to a disclosed primary study, and repeating an unsourced number would be a fabrication risk. Discovery behavior in fitness is a genuine white space. We label it as such and reason from established adjacent evidence instead of inventing a fitness-specific statistic.
What should a studio owner actually do given the uncertainty?
Measure the specific thing that matters: whether your studio appears, and appears credibly, on the map pack, in reviews, and in AI answers for the real questions prospective members ask nearby. A structured read of that visibility replaces guesswork with a starting point you can act on, without relying on any unsourced industry figure.
Provenance
Sources
- Health and Fitness Association (formerly IHRSA), 2025 US Health and Fitness Consumer Report (established)
- Luca, M., "Reviews, Reputation, and Revenue: The Case of Yelp.com", Harvard Business School Working Paper No. 12-016, 2011 (rev. 2016) (established for restaurants; fitness extension is extrapolation)hbs.edu
- BrightLocal, Local Consumer Review Survey, 2024 and 2026 editions (emerging, industry-primary self-reported survey)brightlocal.com
- RavenEye research synthesis of the available literature, 2026, documenting the fitness discovery-behavior white space (contested / gap note)
Every figure above is attributed to a real, dated source and tagged with its evidence tier. Where a claim could not be verified to a primary source, it is not stated as fact.