We analyzed this app across 3 independent signals and corroborated nothing unfair. That is a signal, not an audit.
This analysis describes version 8.23.0 of the app, analyzed 2026-10-06 . The app may have changed since.
The store currently lists version 8.23.0, updated 2026-09-17.
What the analysis found
One source only — shown, not confirmed 2
A single kind of evidence. We publish these because withholding them would be the bigger distortion, and we do not treat any of them as a finding we stand behind.
What reviewers said
Verbatim excerpts from public store reviews, shown as corroborating user reports. They are not Appworthy audit evidence, and a quotation is not proof of the finding it sits under.
Aggressive ad load
Endless notifications and ads — I have disabled all push notifications in the app, and I’m still bombarded worn “suggestions” that are basically ads. Makes the app impossible to keep installed on my phone and so infuriating to use
Annoying post booking ads — I use this app to book classes at my local studio. After booking, I get frequent annoying stream of pop up ads from Rokt that you cannot opt out for. Mindbody’s customer “support” is an endless AI bot that…
Works fine, but ads are ridiculous — The app works great for booking my yoga classes, however every time I book one, it tries to sell me something. The yoga studios are paying to use your application. We shouldn’t be asked to buy…
Tracking and data collection concerns
Selling our info no thanks — Websites have to offer you opt-out options for privacy. This app wants to sell your info and you cannot opt out. No thank you! I used to book classes etc thru them online, the service is a good one. I’m just…
Zero point to this app — This app can’t give you access to classes, it can’t let you book memberships. It just shows you other places that use MindBody for payment. Given MindBody has trouble even processing Apple Pay, it’s wild they’d…
Hate that my gym uses this app — App steals and sells a lot of your personal info. Also when booking your class every day you get an advertisement blasted at you. There are better options for gyms to use regularly.
How the automated analysis works
This assessment is produced automatically. Three independent signals are read — user reviews, the store listing and the store privacy disclosure — and each candidate finding is filed under the sources that support it.
No charge stands on one kind of evidence — with one published exception. A finding is either a measured fact that anyone can reproduce (an ad SDK is in the package; every subscription bills weekly; the privacy label omits a tracker we can see), or it is an interpretation — and an interpretation needs independent sources to agree before it reaches the catch list. The exception is a harm only users can see: a charge may publish from reviews alone, as “Reported by N users”, once enough reviewers raise it to clear that charge’s own published bar. That agreement rule is what replaced the human reviewer, not a model’s confidence.
There is no overall score, on purpose. A 0–99 number was published here until 2026-09-15. It was withdrawn because it discriminated too weakly to be the instrument — 44.7% of every pair of apps tied — and because a single number is a verdict where a count is an observation. What publishes instead is a row of measurements, each of which says what was counted and, where we could not look, says that instead.
Findings under One source only are real reports we do not stand behind as findings. They are shown because withholding them entirely would hide a genuine complaint, and labelled because publishing them as charges would be an accusation off a single source.
Several measurements above say “Not assessed” because no artefact we hold can answer them. A human review is what resolves those — and it can remove a favourable band as easily as add one.
Hands-on inspections are not yet open.