College students spend an average of $1,070 a year on wellness products and health-tracking tools. Eight in ten use at least one health app or tracker. Fifty-eight percent of those check their data at least once a day.
And one in five tracker users report making no behavioural change at all based on what they collect.
That last figure is the one worth building a business on.
Where the numbers come from
The data is from the inaugural Body Clock Report by Owaves, a circadian health company, which surveyed 1,000 US college students. It is worth naming the sponsor: a company selling circadian planning tools has an interest in finding that tracking alone underdelivers. The finding is still credible, because it is consistent with what larger datasets have shown about app engagement, and we have covered that pattern before in fitness apps keeping 3% of users at day 30.
Read carefully, the $1,070 is spend on wellness products and health-tracking tools. It is not studio or gym membership spend, and reporting that framed it as fitness budget going to apps instead of studios stretched the number past what it measures.
What is the behaviour change gap?
The behaviour change gap (the distance between what a member measures and what they actually do differently) is the space between a daily readiness score and a different decision on a Tuesday evening. Owaves found a fifth of student trackers sitting entirely inside that gap: paying for the tool, checking it daily, and changing nothing. For a studio, that group is not a lost cause. They are the most pre-qualified prospects in the market, because they have already spent money to be told what to do and are still waiting for someone to tell them.
Why a tracker cannot close it
A tracker reports state. It does not schedule, it does not expect you, and it does not notice when you stop. The three things that reliably convert measurement into behaviour are a specific next action, a time it happens, and somebody who registers your absence. A studio supplies all three by default, which is the structural advantage operators consistently undersell.
| What the member has | What it delivers | What it leaves out |
|---|---|---|
| Wearable or health app | Continuous measurement, daily score | A decision, a time, and consequence for skipping |
| Class schedule | A time and a commitment | Personalisation to what the data says today |
| Coach reading the data | All three, plus interpretation | Nothing, which is why it prices highest |
Three ways to sell into the gap
Ask what they track at intake, then use it once in the first fortnight. Not a dashboard integration. One message that references their own number and recommends one specific session. Members bringing their own data are easier to coach, not harder, which we argued in members feeding wearable data to ChatGPT.
Price interpretation as a service. A recurring fifteen-minute read of a member's own tracker data is a low-cost, high-margin add-on that no app replicates, because the scarce input is judgement rather than measurement. It also runs on staff you already employ, in gaps that already exist in the schedule, which makes it one of the few upsells that does not require new equipment or a new room.
Target the students who already pay. A cohort spending $1,070 a year on wellness tools has demonstrated willingness to pay for health outcomes. Student pricing is usually built on the assumption they have no money, and this suggests the assumption is at least partly wrong. We looked at the wider version of this in Gen Z fitness spending.
The bigger signal
This is the second dataset this week pointing the same way. The Global Wellness Summit's 2026 report, cited by The Atlantic, argues "optimization itself has become a stressor," and Walla's president described people abandoning tracking entirely: "I don't care what the numbers are. I just want to live well." We cover what that means for format strategy in this week's piece on the Pilates conversion.
Put the two together and the opportunity is clearer than either alone. A generation has bought the measurement layer, checks it obsessively, and a meaningful slice of them are getting nothing out of it. The industry has spent three years trying to sell those people better data. The gap says they have enough data.
Worth noting what this does not say. Tracking is not failing for everyone, and four in five users do report acting on their numbers. But a fifth of a cohort this large, this engaged and this willing to spend is a serviceable market on its own, and it is one that currently has nowhere to go.