A gym runs a new early-morning HIIT class. Bookings are modest. But when the manager looks at website questions, dozens of people have asked whether there is a 6am class, and most asked on weekday evenings. The demand is there; the class is at 7:30am. Moving it to 6am fills it within two weeks.
Gym enquiry analytics are one of the simplest ways to understand what members and prospects want. The questions people ask show demand, confusion and interest before any booking happens.
1. Questions by class
What: which classes get asked about most.
Why: high interest with low bookings may mean the time, level or description is wrong.
2. Questions by offer
What: which promotions or membership types generate questions.
Why: confusing offers produce lots of questions and few sign-ups.
3. Questions by page
What: which website pages trigger the most questions.
Why: pages with many questions are often unclear.
4. Timing of questions
What: when questions arrive by hour and day.
Why: shows when prospects research, and when to have answers ready.
5. Questions that lead to sign-ups
What: which questions come before a trial or membership.
Why: these are the questions to answer best.
6. Unanswered questions
What: questions the website could not answer.
Why: a direct list of missing information, similar to the programme and nutrition questions described in nutrition and programme questions coaches get daily.
7. Requests for things you do not offer
What: classes, times or facilities people ask about that you do not have.
Why: evidence for what to add next.
Where the data comes from
SpideyChat for gyms and fitness studios records website conversations and unanswered questions. Combine these with booking data and a simple reception tally for a fuller picture. Setup is in the installation guide and training guide.
8. Questions from beginners versus regulars
What: whether questions come from people new to the gym or existing members.
Why: beginners ask about suitability and what to expect; regulars ask about schedule changes and bookings. Knowing the mix helps you decide which pages to improve first.
9. Seasonal patterns
What: how questions change through the year.
Why: January brings joining questions, spring brings outdoor classes and summer brings holiday freezes. Seeing the pattern lets you publish answers before each season starts.
10. Conversion by source
What: whether people who asked a question came from search, social media or a referral.
Why: shows which channels bring serious prospects rather than casual browsers, and where to focus marketing budget.
Keeping it simple
None of this needs a complicated dashboard. A monthly half hour looking at the most common questions, the unanswered ones and the classes people ask about most is enough to spot the biggest opportunities. The value comes from acting on one finding each month, not from collecting every possible number and never looking at them.
Using the data
Once a month, look at the top classes and offers by questions, compare with bookings, and act on one finding. Timetable adjustments are the most common quick win, as covered in class timetable questions that tie up reception.
The same method elsewhere
Estate agents use the same approach to measure listing interest, described in measuring which listings generate real enquiries. For more on how gyms use assistants, see AI chatbots for fitness studios and gyms.