Charts & Visualisations
Analytics includes several charts to help you see patterns in your booking data. Each chart updates when you change the period (Week, Month, Year, or All Time).
Charts at a glance
| Chart | Type | Shows |
|---|---|---|
| Booking Trend | Line / area / column | Bookings and revenue over time (daily or monthly) |
| Customer Mix | Donut | New vs returning customers |
| Revenue | Bar | Booked vs completed revenue |
| Busiest Days | Horizontal bar | Bookings by day of week |
| Booking Lead Time | Horizontal bar | How far ahead customers book |
| Booking Source | Donut | Online, Staff, Walk-in, Phone |
| Peak Hours | Heatmap or bar | Bookings by hour (and day for Week/Month) |
Booking Trend
A line or area chart showing bookings and revenue over time. For Week and Month periods, you see a daily breakdown — each point is a day. For Year and All Time, you see a monthly breakdown — each point is a month.
| Series | Description |
|---|---|
| Bookings | Total appointments created |
| Completed | Appointments marked as completed |
| Revenue | Booked or completed revenue (when available) |
Use this to spot busy and quiet periods, seasonal patterns, and revenue trends.
Customer Mix
A donut chart showing the split between New Customers (first-time visitors) and Returning (repeat visitors). The centre shows the total count.
Insight: A healthy mix depends on your business. High new-customer share suggests growth; high returning share suggests strong retention. Use this with the Repeat Rate metric to understand retention.
Revenue
A bar chart comparing Booked revenue (value of all appointments created) and Completed revenue (value of appointments that were completed). The gap between them reflects cancellations, no-shows, and reschedules.
Insight: If booked is much higher than completed, focus on reducing no-shows and cancellations. If both are low, consider promotions or higher-value services.
Busiest Days
A horizontal bar chart showing bookings by day of the week (Mon–Sun). Each bar represents total bookings for that day across the period.
Insight: Use this to plan staffing. If Saturday is your busiest day, ensure you have enough staff. If Monday is quiet, consider promotions or different opening hours.
Booking Lead Time
A horizontal bar chart showing how far in advance customers book:
| Bucket | Lead time |
|---|---|
| Same Day | Booked on the day of the appointment |
| 1–3 Days | 1 to 3 days ahead |
| 4–7 Days | 4 to 7 days ahead |
| 1–2 Weeks | 1 to 2 weeks ahead |
| 2–3 Weeks | 2 to 3 weeks ahead |
| 3–4 Weeks | 3 to 4 weeks ahead |
| 30+ Days | More than 30 days ahead |
Insight: If most bookings are same-day, consider encouraging advance booking. If many are 30+ days ahead, your booking window is working well.
Booking Source
A donut chart showing where bookings come from:
| Source | Description |
|---|---|
| Online | Via your public booking page |
| Staff | Entered by staff (internal) |
| Walk-in | Walk-in customers |
| Phone | Booked over the phone |
Insight: If online is low, promote your booking link. If staff is high, consider training or incentives to move more bookings online.
Peak Hours
For Week and Month periods, this is a heatmap: rows are days (Mon–Sun), columns are hours. Darker cells mean more bookings at that day–hour combination.
For Year and All Time, it becomes a bar chart of bookings by hour across the whole period.
Insight: Use this to align staff schedules with demand. If 2–4pm is consistently busy, ensure coverage. If mornings are quiet, consider later opening or promotions.
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