Yoga practices do not follow one universal schedule. Mako shows when a student is overdue for their normal return cadence, adds historical context, and helps organize respectful, auditable recovery work.
Weekly classes, short series, workshops, and occasional practice create different rhythms. Mako helps the team review observed gaps without assigning one generic churn score to every student.
Mako surfaces overdue return patterns from supported data. A gap is a prompt to review context—not proof that a student will leave.
Review aggregate retention and rebooking patterns for supported cohorts while withholding small or identifying groups.
Mako turns reviewed signals into internal work with ownership and source context. The studio decides whether any authorized follow-up is appropriate.
Use connected data to review cadence, retention, and rebooking while preserving context, consent, and privacy.
Explore retention, rebooking, cohorts, client segments, historical revenue context, and privacy-safe benchmarks at no cost.
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Contact usMako helps identify students overdue for their normal return cadence, review historical value, and compare retention and rebooking across privacy-safe aggregate cohorts.
Only when those dimensions are available in the connected source and supported by the implementation. This page does not promise them universally.
No automated campaign is promised. Pulse organizes internal recovery work; the studio decides what outreach is appropriate.
No. Mako uses observed return patterns and historical context rather than predictive cancellation scoring.
Yes. This workflow is designed around supported connected data and does not require a platform-replacement claim.
Review overdue returns, cohort context, and respectful recovery work in one auditable workflow.