Use supported Mindbody data to see who is overdue for their normal return cadence, review historical value, compare privacy-safe aggregate cohorts, and organize consent-safe, auditable recovery work—without making a platform-switch claim.
Mako adds a focused retention layer around supported Mindbody data. Connection method, field availability, and setup requirements depend on the studio and should be confirmed before rollout.
Review which members are overdue for their normal return cadence, what historical value is attached, and where eligible cohorts differ in retention or rebooking.
On this page, “at risk” means a member is overdue relative to an observed return pattern. The team reviews the evidence and applies its own context.
Mako supports supported Mindbody data, along with Mako, Momence, CSV, and Excel sources. It does not promise a universal live or two-way sync.
Keep the platform question separate from the retention question. Start with supported data, inspect the signal, and document the next step.
Explore retention, rebooking, cohorts, client segments, historical revenue context, and privacy-safe benchmarks at no cost.
Create a free Pulse account →Need to confirm a source or workflow? Talk with the Mako team.
Contact usThis page is about retention intelligence using supported Mindbody data. It does not require a platform switch or claim that Mako replaces Mindbody.
Mako supports supported Mindbody data. Connection method, availability, and fields depend on the studio setup and should be confirmed before rollout.
Mako shows who is overdue for their normal return cadence, historical value attached to those signals, and privacy-safe aggregate comparisons of retention and rebooking.
Mako can surface members overdue for their normal return cadence. “At risk” is an observed review label, not an AI cancellation prediction.
No automated campaign or write-back is promised. Pulse creates internal recovery work; any authorized outreach remains with the studio.
Yes. Mako supports Mako data or supported Mindbody, Momence, CSV, and Excel sources.
Confirm the supported data path, inspect overdue return patterns, and organize reviewable recovery work.