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Statistics overview: How to read it and what to do with it

Statistics overview: How to read it and what to do with it

Last updated: February 3, 2026


The Overview dashboard helps you answer three questions fast:
  • Are we busy? (bookings, hours, customers)
  • Are we using our capacity well? (coverage, utilization, hours chart)
  • Are we earning well from that capacity? (booking value, RevPAR, revenue breakdown)
Everything you see is for the selected location only, and all dates are shown in the location’s timezone.

1) Start here: choose the period (and optional comparison)

Pick a period

The period selector controls everything on the page.
  • Use presets (Today, Last 7 days, This month, etc.) for quick checks.
  • Use a custom range when you want to evaluate a campaign, a price change, or a specific event window.

Optional: turn on comparison

Add a comparison (previous period / last week / last month / last year) when you want context.
  • Comparison is best for answering “is this improving?
  • Without comparison, you’re answering “what happened?

2) The top KPIs: your quick health check


Bookings

What it tells you: how many confirmed bookings happened in the period.

How to use it

  • Track demand changes after marketing, pricing, or opening hour changes.
  • Pair with Hours booked to see if you got more bookings or just longer bookings.

Hours booked

What it tells you: total booked hours across all bays (capacity sold).

How to use it

  • This is your best “volume” metric. If revenue changes but hours don’t, pricing/mix is likely the reason.

Booking value

What it tells you: the value of bookings/events based on when customers play (activity timing).

How to use it

  • Use this to judge operational performance (“what was this week worth in playtime?”).
  • Compare it to Hours booked to understand pricing effectiveness.

Unique customers

What it tells you: how many different customers booked at least once.

How to use it

  • A growing customer count usually means you’re reaching new demand (not just the same people booking more).

3) Coverage vs utilization: the two “capacity truth” metrics

These often explain “why revenue is lower than expected.”

Coverage (sales coverage)

Meaning: how much of your available opening-hour capacity was booked by customers.
  • High coverage = you’re selling a lot of what you’re open for.
  • Low coverage = you have sellable hours going unused.

Utilization (total usage)

Meaning: how much of your capacity was used by bookings + events + blockings.
  • High utilization with lower coverage often means you’re busy, but not necessarily selling (events/blockings take space).
  • Low utilization means you simply had unused capacity.

Practical interpretation

  • Low coverage + low utilization: demand problem (pricing/marketing/visibility/time slots).
  • Low coverage + high utilization: schedule problem (too many blocks/events, or hours not sellable).
  • High coverage: demand is healthy; focus on price optimization and upsells.

4) Member vs drop-in: where demand comes from


Member bookings

Meaning: bookings made by customers with an active membership.

Drop-in bookings

Meaning: bookings from customers without an active membership.

Member share

Meaning: the percentage split between member and drop-in demand.

How to use it

  • If member share rises, you may see higher hours and occupancy without the same increase in booking payment revenue (members don’t always pay per visit). That’s normal—use it to understand demand mix, not just income.

5) The charts: where to take action


Hours chart (Booked / Blocked / Events)

Think of your opening hours as inventory.

Use it to

  • Spot peak times (staffing, pricing, minimum duration rules)
  • Spot quiet times (promotions, adjust opening hours, add off-peak offers)
  • Confirm whether low sales are caused by blocking or low demand
A great weekly routine: check this chart every Monday, then decide one action for quiet periods.

Booking value over time

Shows value by when customers play.

Use it to

  • Validate whether you improved “busy days” (not just payment timing)
  • Find patterns by weekday/week and plan staffing + pricing changes

6) RevPAR: one metric that combines “full” and “price”

RevPAR is the quickest way to understand if you’re monetizing capacity well.

RevPAR (revenue per available hour)

Meaning: average revenue earned per available hour (whether it was booked or not).
  • Goes up when you either fill more hoursraise average price per booked hour, or both.

Occupancy rate

Meaning: how full you were (booked hours ÷ available hours).

Average hourly rate

Meaning: what you earned per booked hour (revenue ÷ booked hours).

Potential revenue

Meaning: the “ceiling” if you sold all available hours at list prices.

How to use this section

  • Low occupancy + decent hourly rate: focus on filling hours (marketing, discoverability, offers).
  • High occupancy + low hourly rate: focus on pricing (peak pricing, packages, minimums).
  • Both low: fix product + schedule first (opening hours, friction in booking flow, promos).

7) Revenue breakdown: what people are buying

This answers “what drives money in this location?

Use it to

  • See if you’re overly dependent on one product type
  • Track membership growth vs booking-driven growth
  • Evaluate whether vouchers/gift cards are spiking (often seasonal)

8) The one thing that confuses everyone: two kinds of “revenue”

This page intentionally shows two correct views:
  • Total revenue: money received in the period (purchase timing)
  • Booking value (and RevPAR): value tied to when customers play (activity timing)

When to use which

  • Use Total revenue for cashflow and “what was purchased”
  • Use Booking value/RevPAR for operations, capacity, and pricing performance