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 — peak (07:00–22:00) vs off-hours (23:00–06:00). 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 over the selected window. 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.

Lead → customer conversion

Do free trial classes drive sales? Share of leads who paid a first invoice, split by whether they took a class before paying.

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.