AI retention · gyms and boutique studios
Streak reads attendance, class bookings, app opens and card activity together, finds the drop-off while the member is still paying, and sends the one message that gets them back through the door.
By the time someone hits cancel they made the decision a month ago. These are the three things that move first.
Drop in weekly visits versus that member's own established pattern, not against a gym average that means nothing for a two-a-week member.
Since they last booked a class they had previously booked every week. Booking behaviour breaks before attendance does.
More likely to churn once they stop opening the app entirely. The quiet ones leave; the complainers usually stay.
A dashboard number nobody can act on. A named member with a reason is something your front desk can do something about today.
People do not leave because it is too expensive. They leave because the thing that got them in stopped fitting their week.
Generic, discount-led and slightly guilt-shaped. It tells the member the gym noticed nothing about them specifically, which confirms the decision they had already made. Typical reactivation: 3%.
Names the actual reason they stopped, offers the specific fix, and asks one easy question. Written from their attendance record, not from a template. Reactivation on this cohort: 31%.
Mixed estate: two big-box gyms, seven boutique studios, 400 to 3,100 members each.
We run a read-only scan of your last twelve months and send back the members currently drifting, with the reason for each. You will recognise most of the names.
Scan your members