Use it when you want to answer questions like:
- When do people want to play? (weekday + time of day)
- Which bays are carrying the venue? (hours + revenue per bay)
- Is demand shifting? (comparison vs another period)
1) Start with the period (and optional comparison)
Choose a period
Add a comparison (optional)
- KPI cards show change vs the comparison period
- “Busiest day” shows the comparison period’s busiest weekday as a subtitle
2) The top KPI cards: a quick demand snapshot
Total number of bookings
How to use it:
- If this goes up while “Usage per bay” stays flat, you may be getting more short bookings or more single-bay bookings.
- If this goes down but peak periods look the same, you may have a distribution shift (fewer off-peak bookings).
Total number of users
How to use it:
- If bookings rise but users don’t, demand is coming from repeat customers.
- If users rise, you’re likely expanding reach.
Busiest day
How to use it:
- Plan staffing and opening-hour focus
- Validate that a promotion moved demand to a target weekday
- Compare busiest weekday across periods to see if behavior is shifting
3) Usage per bay: your most practical “what should we improve?” section
This section shows one row per bay with:
- Hours booked
- Revenue
- Bookings
How to interpret it (the “so what”)
- High hours + high revenue: your strongest bay(s). Protect these peak slots and consider smart price increases.
- High hours + low revenue: you’re filling time but not earning much per hour (discounts, off-peak heavy mix, or pricing mismatch).
- Low hours + decent revenue: premium bay that sells less often—good candidate for targeted promotion or better placement/visibility.
- Low hours + low revenue: underperformer—review pricing, bay setup, booking flow, or whether it should be bookable.
How bay revenue is attributed (important for multi-bay bookings)
4) Booking heatmap: “when do people want to play?”
What you’re looking at
- Rows: weekdays
- Columns: hours (0–23)
- Each square: a time slot
- The number is a percentage relative to the busiest slot in the selected period:
- 100% = the single busiest slot
- 50% = about half as busy as your peak slot
What the heatmap is not
It is not an occupancy or utilization chart. It does not tell you:
- coverage percentage
- how many bays were filled
- how “full” you were in absolute terms
Filters
You can switch between:
- All sims
- One specific bay
How to use it (real decisions)
- Staffing: match staffing to the dark-green clusters
- Pricing: add peak pricing where demand clusters; run off-peak offers where it’s consistently light
- Opening hours: consider extending hours into a consistently busy edge, or trimming persistently dead hours
- Operations: if weekends are packed but weekdays are light, plan weekday leagues/events or corporate offers
5) Activity by day of week: your weekly demand shape
Use it to:
- Compare weekday vs weekend demand
- See if demand is moving (e.g. Thursdays becoming the new peak)
- Measure whether a campaign changed which days people book—not just the total count