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Dashboard & AnalyticsPerformance Metrics

Performance Metrics

⭐Pro Performance metrics are available on Pro and Premium plans.

Performance metrics go beyond basic counts to show how well your sessions are converting and which services are most popular.

Available Performance Metrics

Confirmation Rate

Percentage of sessions that get confirmed.

Calculation:

Confirmation Rate = Confirmed Sessions / Total Sessions Γ— 100

What it shows:

  • How often bookings convert to confirmed appointments
  • Effectiveness of your confirmation process

Healthy range: 80-95%

If too low:

  • Review confirmation process
  • Send more reminders
  • Follow up on pending sessions

Cancellation Rate

Percentage of sessions that get cancelled.

Calculation:

Cancellation Rate = Cancelled Sessions / Total Sessions Γ— 100

What it shows:

  • How often clients cancel
  • Potential issues with scheduling or commitment

Healthy range: Under 15%

If too high:

  • Send more reminders
  • Consider deposit requirements
  • Review cancellation policies

No-Show Rate

Percentage of clients who don’t attend their sessions.

Calculation:

No-Show Rate = No-Show Sessions / Total Sessions Γ— 100

What it shows:

  • Client reliability
  • Reminder effectiveness

Healthy range: Under 5%

If too high:

  • Strengthen reminder system
  • Require confirmations
  • Consider deposits

Peak Hours

Times of day when most sessions are booked.

What it shows:

  • Most popular booking times
  • When clients prefer appointments

Use it to:

  • Focus availability on peak times
  • Adjust working hours
  • Schedule administrative time in low periods

Top Services

Your most frequently booked services.

What it shows:

  • Which services clients prefer
  • Revenue-generating services

Use it to:

  • Promote popular services
  • Consider expanding popular offerings
  • Review underperforming services

Performance Dashboard

Metrics Cards

Performance metrics display with:

  • Percentage - The rate or proportion
  • Trend arrow - Up/down from previous period
  • Color coding - Green (good), yellow (warning), red (concern)

Example Display

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Confirmation Rate β”‚ β”‚ Cancellation Rate β”‚ β”‚ 92% β”‚ β”‚ 8% β”‚ β”‚ ↑ 3% vs last β”‚ β”‚ ↓ 2% vs last β”‚ β”‚ βœ“ Excellent β”‚ β”‚ βœ“ Good β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ No-Show Rate β”‚ β”‚ Peak Hour β”‚ β”‚ 2% β”‚ β”‚ 10:00 AM β”‚ β”‚ βœ“ Excellent β”‚ β”‚ Most bookings β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Understanding Performance

What Good Looks Like

MetricPoorAverageGoodExcellent
ConfirmationUnder 70%70-80%80-90%Over 90%
CancellationOver 25%15-25%5-15%Under 5%
No-ShowOver 10%5-10%2-5%Under 2%

Industry Context

Performance varies by industry:

IndustryTypical Cancellation
Coaching5-10%
Therapy8-15%
Consulting5-8%
Wellness10-20%

Seasonal Variations

Expect variations:

  • Holidays: Higher cancellations
  • New Year: More bookings
  • Summer: Varies by industry

Improving Performance

Improving Confirmation Rate

  1. Send confirmations promptly - Immediate booking confirmation
  2. Request confirmation - Ask clients to confirm
  3. Make confirming easy - One-click confirmation
  4. Follow up - Reach out to pending sessions

Reducing Cancellations

  1. Reminder strategy - 24h, 2h, 30min reminders
  2. Clear policies - Communicate cancellation terms
  3. Deposits - Require deposit (Premium)
  4. Flexibility - Offer rescheduling options

Reducing No-Shows

  1. Multiple reminders - Don’t rely on one
  2. Confirmation requests - Require explicit confirmation
  3. Easy rescheduling - Make it easy to change vs skip
  4. Consequences - Clear no-show policy

Top Services Analysis

Understanding the List

Top services shows:

  • Service name
  • Number of bookings
  • Percentage of total
  • Trend vs previous period

Using Top Services Data

Promote what works:

  • Feature top services on booking page
  • Market your popular offerings
  • Expand successful services

Review underperformers:

  • Why aren’t they booking?
  • Pricing issue?
  • Visibility problem?
  • Should it be discontinued?

Peak Hours Analysis

Peak Hours Display

Shows your busiest times:

  • Hour of day
  • Day of week
  • Booking volume

Acting on Peak Data

Maximize peak times:

  • Ensure availability during peaks
  • Don’t schedule admin during peak hours
  • Consider premium pricing for peak slots

Fill off-peak times:

  • Offer discounts for quiet times
  • Schedule flexible clients in gaps
  • Use for admin and breaks

Date Range Considerations

Performance metrics can be filtered by date range:

  • Last 7 days - Recent performance
  • Last 30 days - Monthly view
  • Last 90 days - Quarterly trends
  • Custom range - Specific periods

See Date Range Filtering for details.

Compare the same periods year-over-year to account for seasonal patterns.

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