Studio metrics
The metrics screen tells what happens inside your studio: what it earns, what your customers book, what they buy. Everything is scoped to a period picked at the top of the screen — today, this week, this month, the last 30 or 90 days, this year, the last 6 or 12 months, or all time. The arrows on either side of the selector step through earlier periods: that is how you compare this month to last month, or this year to the last — a lone figure says nothing, a comparison says everything.
The screen is organised into six sections. Each opens on its key figures, then details them in monthly charts.
Revenue
The total collected over the period, split between shop sales (with the order count) and billed subscriptions (with the number of subscriptions involved). A separate card gives the number of subscriptions active today — that figure does not depend on the period. The chart traces the sales and subscription shares month by month.
Bookings
The number of sessions booked over the period, and the fill rate: seats booked over seats offered, computed on sessions already past — an upcoming session is not “under-filled” yet. The charts break bookings down by activity, month by month and in total, to spot what fills up and what struggles. The sessions themselves are managed in the planning calendar.
Credits
Credits purchased (or granted) against credits consumed by bookings, month by month. A lasting gap between the two is quick to read: credits bought but little used point to customers drifting away; the reverse, to balances running out.
Members
The total number of customer accounts and the new sign-ups over the period. The charts detail sign-ups month by month by title, and the overall make-up of your customer base.
Retention
Who comes back, who stopped. Four figures sum up the situation: the return rate, that is the share of customers who came at least twice, together with the median delay between the first and the second session — a lengthening delay announces a return rate about to fall; active customers, who came recently; inactive customers, who used to come and no longer do, with how many of them still hold unused credits; and customers who never came, registered but who never booked.
The monthly chart separates, for each month, customers attending for the first time from those coming back: their sum is the month’s attendance, and the split is what matters. A studio carried only by new faces fills its sessions without building a customer base. The doughnut gives the same reading as of today, splitting all accounts between active, inactive and never came.
- These figures are computed as of today, not over the period picked at the top of the screen — only the monthly chart follows the period.
- A customer counts as active or inactive by the date of their sessions, not by the date they booked: booking in January for a session in March makes them active in March.
- The inactivity threshold is the one set for the inactive-customer follow-up, in the settings — 45 days by default. It is repeated under the active-customer figure, so “inactive” is never read with one threshold in mind and another on screen.
- Bookings made without an account are keyed on their email address: the discovery funnel therefore counts towards retention, as it should.
- Accounts created less than a week ago are not counted among “never came”: they have not had a chance to book yet.
This is the section that measures the effect of automatic follow-ups: a rising return rate, a falling number of inactive customers. See the article on automatic follow-ups to set them up.
Shop
The period’s sales, product by product, with the ranking of best-selling products. The “Products in the catalog” card is an inventory: it counts what the shop offers today, regardless of the chosen period.
How to read these figures
- An order only enters revenue once paid; a credit only counts as consumed once the booking is made.
- Amounts are gross takings: they do not replace your accounting.
- For public-site traffic — visitors, page views, traffic sources — see the article on visitor analytics.