Training visits can change with work hours or the end of an introductory challenge. See recent attendance and membership context before a coach chooses the next follow-up.
Members may train several times a week, work around changing schedules, or move from an intro challenge into a routine. Mako starts with observed cadence and keeps the evidence visible.
Mako compares the current return gap with the member’s observed pattern. The signal prompts a review; it does not predict a cancellation.
Check which format, membership and challenge fields your source includes. Those fields determine which groups can be compared and which need more context.
The attendance list cannot tell a coach why a member missed training. Check what the team knows, then keep any follow-up with an owner and record the response.
Put recent training visits and known membership context beside a coach-owned task while keeping the existing timetable in place.
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 usNo. Mako uses observed return cadence, historical value, retention, and rebooking context rather than predictive cancellation scoring.
Attendance, booking, cancellation and no-show fields vary by source. We can check each state in your export before using it in a coach review.
Bring your Mindbody or Momence setup details and an attendance export. We can confirm the connection method and which training records Pulse can use.
Pulse does not retry failed payments. Keep collection and payment reminders in your existing payment workflow.
Keep the gym operating system for scheduling and daily operations. Pulse uses the attendance data available for a separate retention review.
Bring the training history to a walkthrough and see what a coach can use for the next follow-up.