Product Tutorial

How AI Business Insights shows you where your gym is losing money

Your numbers are already in Rezerv, spread across a dozen reports. AI Business Insights pulls them together, compares your last completed month against the one before, and flags what needs your attention. Here's what the screen covers and how to read the findings.

Every gym owner has had the same thought at the end of a slow month: something changed, but what?


Revenue dipped. Or attendance dropped. Or fewer members renewed than usual. The numbers that explain it are already in Rezerv, spread across Sales over Time, Class Attendance, No Show, and half a dozen other reports. Finding the answer means opening all of them, comparing last month to the month before, and working out which change actually matters.


Most owners never get to that. There's a schedule to build, staff to cover, and members to look after.


AI Business Insights does that comparison for you. It takes your last completed month, reads it against the month before, and covers revenue, attendance, customers, staff, and operations on one screen.


Then it goes further. Rezerv's AI reads across those numbers and tells you what it found, ranked by how urgent it is. Each finding explains what's happening in your business and gives you three or four specific things you can do about it.


So instead of guessing why last month felt off, you get an answer and a next step.

Here's what the screen shows you, and how to use it.



I. What AI Business Insights covers

You'll find it under Reports > AI Business Insights.


The screen opens on your last completed month, with the exact period shown at the top. So if you're reading this in September, you're looking at August, measured against July.


Every figure on the page carries three pieces of information:

  • The current value. What the number was for the month you're viewing, whether that's revenue collected, active members, or your class fill rate.
  • The percentage change. How far that number moved from the month before, shown in green when it improved and red when it dropped, so you can spot the problem areas by scanning down the page.
  • The previous month's figure. The actual number you're being compared against, sitting directly beneath. Useful because a 20% jump means something different when it's 5 members versus 50.


That means you never have to open a second report to know whether a number moved in the right direction, or by how much.


The screen is split into seven tabs across the top:

  • Key performance for the overall snapshot
  • Revenue insights for where the money came from
  • Leakage & bookings for what you lost and where
  • Customer intelligence for how your member base is holding up
  • Churn risk analysis for who's about to leave
  • Staff performance for how work is spread across your team
  • Operational analysis for whether your timetable matches demand


Each tab reports its own set of numbers and ends with the AI's read on them. Section III will covers what sits inside each one.



II. How the AI Overview works

The tabs give you numbers. The AI Overview tells you what they mean.


At the end of every section on the page, Rezerv's AI reads the metrics in that section and writes up what it found. Each finding comes as its own card, and every card follows the same four-part structure.


A priority tag. High, Medium, or Low, so you know where to start. When the AI flags six things in one month, the tags tell you which two actually need attention this week.


A headline that names the problem. Something like "Member churn severely outpacing acquisition" or "App channel critically underperforming." The headline gives you the finding itself rather than the metric behind it.


An explanation of what's happening. A short paragraph connecting the numbers and spelling out why it matters to your business. This is where the AI shows its working, so you can judge whether the conclusion fits what you already know about your studio.


Three to four things you can do. Specific actions you can start this week. Set up a reminder sequence at 48, 24, and 2 hours before class. Run a win-back offer to members who've lapsed. Enable waitlist automation so a no-show triggers an offer to the next person in line.


Why this beats reading the reports yourself

The AI looks across metrics rather than at one at a time.


A single card might connect your class fill rate to your no-show count and your appointment revenue, then draw one conclusion from all three. That's the kind of link that stays hidden when each number lives in a separate report. You'd have to already suspect the connection to go looking for it.


It also catches the numbers you weren't checking. Most owners watch revenue and attendance closely. Fewer are tracking how much of their revenue sits with a single payment method, or how their appointment fill rate compares to their class fill rate. The AI reads all of it every month, whether you thought to look or not.


Treat the findings as a starting point

The AI reads patterns in your data. It doesn't know that your Tuesday evening class dropped because your instructor was on leave, or that last month's revenue looked odd because a corporate client paid three invoices at once.


Rezerv shows a note under every AI Overview for this reason: AI insights may be inaccurate. Verify with your own data or a qualified professional before making decisions.


So read the findings as a prompt to check something, and let your own knowledge of the business decide what happens next.




III. The seven views and what each one answers

Each tab answers a different question about your month. Here's what sits inside them.



1. Key performance

The question: did last month go well?


The snapshot you check first. If you only have five minutes, this tab is the one to open. It pulls the headline numbers from every part of your business onto one screen.


  • Revenue: recognised revenue, total payment collected, refunds and cancellations
  • Momentum: active members, new customers, lapsed members
  • Attendance health: class average fill rate, appointment fill rate, overall attendance rate, covering classes, appointments, and courses
  • Busiest time: busiest day, busiest hour, and your single peak activity slot
  • Additional metrics: average revenue per active member, total no-shows, total cancellations


Read momentum and attendance health together. Growing active members alongside a falling fill rate means you're signing people up faster than you're getting them through the door.



2. Revenue insights

The question: where did the money actually come from?


The detail behind your revenue figure, broken down four ways.

Top-level numbers cover gross sales, transaction count, average transaction value, total discount, total tax, joining fees, and appointments revenue.


Below that, four breakdowns:

  • By item type: memberships, packages, appointments, bookings, courses, retail, and wallet top-ups, each with net sales and transaction count
  • By sales channel: Business Portal, Web, and the Rezerv App
  • By payment method: every method you accept, with total revenue, transactions, items, and average transaction value
  • By customer: your top ten by completed bookings and your top ten by revenue, each showing completion rate alongside spend


The channel and payment breakdowns are where quiet problems show up. A channel with plenty of transactions but a low average value tells you something different from a channel with few transactions and a high one.



3. Leakage & bookings

The question: what did you lose, and where?


This tab tracks the revenue that booked but never showed up.


  • Top classes by no-shows, listed down to the date, time, day, instructor, number booked, number of no-shows, and the resulting no-show rate
  • Cancellations and no-shows by service, so you can see which class types drive the most
  • Cancellations and no-shows by customer, so you can see whether the problem is spread across your base or concentrated in a handful of people


That last distinction changes what you do next. A pattern across many members points at your schedule or your reminders. A pattern across a few members points at a conversation.



4. Customer intelligence

The question: is your member base growing or shrinking?


Retention, measured from several angles.

  • Total, active, and inactive customers
  • Customer retention rate and churn rate
  • Active versus lapsed members, with each shown as a share of your total
  • New versus returning customers, with a customer loyalty figure showing what share of your active base is returning


Watch new customers against lapsed members. When lapsed climbs faster than new, your acquisition spend is covering losses rather than adding growth.


5. Churn risk analysis

The question: who is about to leave?


This one works differently from the other six. You set the conditions and run it yourself. Section IV covers it in full.



6. Staff performance

The question: how is the work spread across your team?


Workload and revenue contribution, per staff member.

  • Total bookable staff, total bookings handled, total attendance completed, and overall staff attendance rate
  • The same figures split between classes and appointments
  • Top ten staff by bookings handled, with attendance rate alongside
  • Top ten staff by revenue generated


Bookings and attendance rate sitting next to each other is the useful pairing. An instructor with a full book and a low attendance rate has a different problem from one with a light book.



7. Operational analysis

The question: does your timetable match demand?


Capacity against actual usage.

  • Total classes run, total class capacity, total class bookings, and class utilization rate
  • Class fill rates
  • Busiest days of the week, each showing bookings against classes offered
  • Busiest hours, each showing bookings against classes offered


Bookings against classes offered is the number that earns its place here. A day with plenty of classes and few bookings is costing you instructor hours. A day with high bookings and few classes is demand you're turning away.



IV. Churn risk analysis

Six of the seven tabs show you what already happened. This one shows you who is about to leave.


It also works differently. You set a number, then run the check yourself.


How it works

You pick how many days of no booking counts as a warning sign, then click Analyze.


Set it to 30 days and you'll catch members who are starting to drift. Set it higher and you'll get a shorter list of people who have been gone a while.


The right number depends on your gym. A member on an unlimited plan who usually trains four times a week is worth checking on after two weeks. Someone with a 10-class package who comes every other week is fine. Try a few different numbers and see which one gives you a list you'd actually act on.


What you get back

Running the analysis returns two headline figures: how many customers are at risk, and the potential revenue loss attached to them.


Below that sits a list of your at-risk customers, each with:

  • Days inactive, so you can see who just went quiet and who has been gone for months
  • Unused credits, what they already paid for and haven't used yet
  • Value at risk, what you lose if they don't come back
  • Appointments, how often they were booking before they stopped


You can open the full report when you want to go through everyone, not just the top 10.


Start with the unused credits

Of everything on this list, the unused credits column is the one to look at first.


A member holding credits they paid for and never used is sitting on a bad feeling. They spent money on something they aren't doing. That's what turns into a refund request, or a quiet decision not to renew.


It's also the easiest message to send. You're telling someone they have sessions waiting for them, which is good news. A short note saying what's left, plus a class and time that might suit them, usually gets a better response than a discount offer. You're not asking them to spend anything.


What to do with the list

The list gives you names, not just a churn percentage. That's what makes it usable.


Sort by value at risk to see which conversations matter most financially. Sort by days inactive to catch people early, before the habit is properly broken. Look at unused credits to find the members with the clearest reason to come back.


Then decide how you want to reach them. A personal message from their usual instructor works differently from a bulk win-back campaign, and the list tells you which members deserve which.


V. Putting the insights to work

Here are three situations that come up often, and how the screen takes you from spotting a problem to doing something about it.


The numbers below are made up. Yours will look different, but the path is the same.


1. The same class keeps showing up in your no-show list

What you see. You open Leakage & bookings and notice that seven of your top 10 no-show sessions are the same class, mostly on weekday afternoons, mostly with the same instructor.


What it tells you. People are booking this class and not turning up. Since it's one class and one time band rather than a spread across your timetable, the cause is likely the slot rather than your members in general.


What to do.

  • Turn on booking reminders for that class, sent a day before and again a couple of hours before
  • Set up a waitlist so a cancelled spot gets offered to someone else straight away
  • Check Operational analysis to see how many people book that time slot overall. If the demand isn't there, moving the class is a better fix than chasing attendance


2. One of your sales channels is barely being used

What you see. Revenue insights shows the Rezerv App bringing in a small fraction of your revenue, while web and the Business Portal handle nearly everything.


What it tells you. Your members are booking, just not through the app. Usually that means they either don't have it, or they can't buy what they want inside it.


What to do.

  • Check what your members can actually purchase in the app. If packages or memberships aren't available there, that explains most of the gap
  • Give members a reason to download it, like an offer they can only get in the app
  • Check the same figure next month to see whether the share moved


3. More members are lapsing than joining

What you see. Customer intelligence shows your lapsed member count climbing while new customers stay flat.


What it tells you. You're losing members faster than you're replacing them. Revenue may still look fine this month, since lapsed members often paid earlier, but the gap will show up in a month or two.


What to do.

  • Send a win-back message to your lapsed list with a clear reason to come back
  • Use Churn risk analysis to find members who are going quiet now, so you can reach them before they lapse
  • Ask a few recent leavers why they stopped. Price, schedule, and results are the usual answers, and each one points to a different fix


The pattern behind all three

You spot something on one tab, check it against another, then act.


That's the habit worth building. The AI findings tell you where to look, and the other tabs tell you whether your first guess was right.



VI. Controlling who can see it

AI Business Insights shows your full financial picture. Revenue, refunds, average spend per member, how much each staff member brings in, and what your top customers pay you.


Most of that is information you'll want to keep to yourself, or share only with the people who need it.


It has its own permission setting

Rezerv treats AI Business Insights as a separate permission, so turning it on for someone is a deliberate choice.


You'll find it under Settings > Staff > Roles. Open a role, expand Reports, and AI Business Insights sits there as its own line, which you can leave switched off or set to View only.


Because it's tied to the role rather than the person, you set it once and it applies to everyone assigned to that role. Add a new manager later and they get the same access automatically.


Who usually gets access

Most gyms keep this one narrow:

  • Owners and managers, who need the full picture to make decisions
  • Finance staff, if someone handles your accounts
  • Front desk and instructors, usually left off, since staff revenue rankings and customer spend sit on this screen


That last point is worth thinking through before you switch anyone on. Staff performance ranks your team by bookings handled and revenue generated. That's useful information for you. It changes the mood of a team room if everyone can see where they sit on the list.


Check it before you start using the report

If your roles were set up a while ago, it's worth opening them and checking what's switched on before you begin working with the insights.


You can read more about setting up roles and permissions in [link to roles and permissions article].


VII. Before you start

A few things worth knowing so the screen makes sense the first time you open it.


Access is unlocked separately

AI Business Insights isn't switched on by default. Access is arranged separately from your regular plan, and there's an option to view more months of history if you want to track changes over a longer period.


Our team can walk you through what's available for your account.


It runs on completed months only

The screen reports on your last full calendar month. September's numbers appear once September ends.


That means you're always looking at a finished picture rather than a month in progress, which is what makes the comparison reliable. It also means this is a monthly habit rather than a daily one. Once a month, early in the month, is the right rhythm.


Your first month won't have a comparison

The value of this screen comes from comparing one month against the last. On your first month, there's nothing to compare against yet, so you'll see your numbers without the change figures.


From the second month onward, the comparisons fill in.


The AI knows your numbers, not your gym

The findings come from patterns in your data. They don't account for the things only you know.


If a class emptied out because your instructor was away, or last month's revenue looked strange because a corporate client settled three invoices at once, the AI won't know that.


It will report what the numbers show and suggest what usually fixes that pattern.

So treat each finding as a prompt to check something, rather than an instruction. You decide what's worth acting on.


Get your roles sorted first

If you're planning to use this regularly, set your permissions before you start. It takes a few minutes and saves you from someone seeing revenue figures you didn't mean to share.


Start using AI Business Insights

You already have the data. This screen is what turns it into something you can act on in ten minutes at the start of the month.


Once access is set up, you'll find it under Reports > AI Business Insights, running on your last completed month.


Visit the support center


If you're unsure whether this fits your business or you'd like a walkthrough first, reach out via live chat in your business portal. Our team can show you what the screen looks like with your own numbers in it.





FAQ

1. Where do I find AI Business Insights?

Under Reports > AI Business Insights in your Business Portal.


2. What time period does it cover?

Your last completed month, compared against the month before it. The exact dates appear at the top of the page. The current month appears once it closes.


3. Do I need to set anything up before using it?

No configuration is needed. The insights run on the booking, sales, and attendance data already in your Rezerv account. Access to the feature is unlocked separately from your standard plan, and our team can walk you through the options.


3. Can I look at more than one month of history?

Yes. Extended history is available as an add-on. Reach out to our team for the current options.


4. Does every staff member see this screen?

Only the ones you allow. AI Business Insights has its own permission line under Reports in the role editor, so you control which roles can open it. The screen shows revenue figures, individual staff revenue contribution, and customer spending, so most businesses limit it to owners, managers, and finance.


5. How accurate are the AI findings?

The AI reads patterns in your data without knowing the context behind them. It won't know that a class emptied out because your instructor was on leave, or that revenue spiked because one client settled several invoices at once.


Rezerv displays a note under every AI Overview for this reason: AI insights may be inaccurate. Verify with your own data or a qualified professional before making decisions. Use the findings to point you at something worth checking, then apply your own judgment.


6. What's the difference between this and my existing reports?

Your existing reports each answer one question and show one set of figures. AI Business Insights runs the month-on-month comparison for you across all of them, then reads across the results to find connections.


A single finding might link your class fill rate, your no-show count, and your appointment revenue, which is the kind of pattern that stays hidden when each number sits in its own report.


7. Can I change the churn risk settings?

Yes. Churn risk analysis lets you set an inactivity threshold, then run the analysis on demand. Adjusting the threshold changes which customers get flagged, so you can start conservative and tighten it as you learn what early disengagement looks like in your business.


8. What counts as an active member versus a lapsed member?

These are based on membership status in your account. Active members hold a current membership, and lapsed members previously held one that's no longer active. The Customer intelligence tab shows both figures with the split as a percentage of your total member base.


9. Does the AI look at my data on its own, or do I have to ask it something?

It runs on its own. Every section of the report ends with an AI Overview covering the metrics in that section, so you get the findings by opening the page.

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