Bookings over time
Weekly booked seats by user type — subscribers, pack members, leads and USC guests, stacked.
New vs returning
Distinct visitors each week, by whether it's their first visit ever.
When the studio breathes
Booked seats by weekday and hour. Darker green = busier.
Class fill
How full each scheduled class ended up.
Utilization by weekday
Booked sessions vs machine capacity, per weekday. Dashed line = 70% benchmark.
Utilization by time of day
Peak (07:00–22:00) vs off-hours (23:00–06:00) vs all. Dashed line = 70% benchmark.
Who's booking
Share of booked seats.
Visit frequency
How many times each visitor has come.
Loyal faces
Most frequent attendees by check-in count.
Collected revenue
Money actually collected each month — recurring subscriptions vs one-off packs.
Revenue mix
Membership vs pack vs partner share this month. Healthy ≈ 60% memberships; packs >35% or partners >5% is a watch signal.
Pack mix
Revenue collected per pack product.
Partners
Estimated commission from aggregator check-ins (capped per member/month). 'Over cap' = unpaid visits.
Payment methods
Revenue collected by payment method.
Plan mix
Active members by membership plan.
Credit status
Active customers by sessions left in their packs.
Conversion funnel
Of paying customers: how many return, subscribe, or upgraded from a pack.
Member growth
Signups each month, stacked by what they are today: subscription · pack · lead.
Tenure
How long paying members have been with the studio.
Last check-in
When active members were last in the building.
At-risk breakdown
How many active members need attention, by reason. The hero shows the €/mo at risk.
Reading this dashboard. Studio metrics (utilization, class fill, visitors, frequency, loyal faces) cover the selected window above; money & member metrics are current-state, and revenue is cashcollected (by payment date), smoothed with a 3-month average. Partner income is estimated(accrued per check-in, capped per member/month) and reconciled against what the partner actually pays.Pending cancellations is a point-in-time snapshot, not a true period churn rate.
Not yet measured (needs more data): real footfall / true utilization / no-show rate (a door check-in stream), the acquisition funnel & cost-per-member (lead/trial data), cohort churn & retention (membership state history), and per-instructor performance.