MarianaTek is the backbone of hundreds of boutique fitness studios in North America. Its scheduling, booking, membership, and payment rails are rock solid — which is why so many operators stay on it.
The reporting layer is more of a mixed bag.
This isn't a review article. We're not trying to talk you out of MarianaTek — we don't know what would replace it for most of its actual workload. We're talking about the gap between what MT's reports show you and what you actually need to run your studio week to week.
What MarianaTek reporting does well
Before the critique, credit where it's due.
The basics are there. Revenue by period. Attendance by class. New clients in date range. Active memberships. If you want to know a single number for a single timeframe, MT gives it to you.
Exports work. Most report views can be downloaded as CSV. That's table stakes, but not every booking platform gets it right.
The data is trustworthy. The numbers in MarianaTek's own reports come from MT's data model directly — no integration gap, no sync delay, no manual joins. What you see is the source of truth for bookings and payments.
For a studio running at a few hundred active clients, native reporting is often enough. You open it when you have a specific question. You get an answer. You close it.
Where it starts to not be enough
The patterns we see as studios scale:
1. Cross-reference is manual
MT's reports are siloed by type. Want to answer "which of my at-risk clients have active memberships and haven't been in for 20+ days?" You can't ask that natively. You pull the at-risk list, pull the member list, and VLOOKUP in a spreadsheet. Every week.
2. Time-series views are thin
You can see this week's retention. You can see last week's. You can NOT easily see retention over the last 13 weeks trending. Most time-series analysis requires CSV → spreadsheet → chart.
3. Operational alerting doesn't exist
MT reports are pull, not push. Nothing notifies you that your no-show rate spiked this week. You have to open the dashboard, find the metric, compare it to your memory of last week. Most studios end up not doing this.
4. Activation metrics aren't native
"Days to fifth class" — the single best predictor of new-client LTV we track — isn't a first-class concept in MT. You can approximate it with rank-based filters on the reservations export, but it's a build-it-yourself exercise.
5. Lifecycle states aren't named
MT tracks whether someone has an active membership. It doesn't tell you whether they're a new client, a regular, at risk, or reactivated. You have to invent that taxonomy yourself from attendance history.
What you do when you hit the wall
Three common paths we see operators take:
Stay in CSVs. Export weekly, maintain a master spreadsheet, use VLOOKUPs and pivots. Works up to a point. Burns a few hours a week and drifts in accuracy. We wrote about that in Reserve vs. spreadsheets.
Build internal tooling. Some studios hire or contract a developer to build a custom dashboard on top of MT's API. Works, but expensive — an hour-a-week problem becomes a months-of-engineering problem — and now you own the maintenance forever.
Use a purpose-built tool. Reserve is one option. There are others. The value is less "better reports" and more "automated cross-reference + time-series + alerting" — the three gaps above, solved at the infrastructure layer instead of by your manager at 9pm on Wednesday.
The honest summary
MarianaTek's reporting is a solid floor, not a ceiling. It answers the single-query question well and falls short on the rhythm of running a studio.
If your operational cadence is "I look at the numbers when I remember to," MT's native reports are fine. If your operational cadence is "I know what moved this week because something told me," you'll outgrow them.