Booking Analytics and Insights
Track your scheduling performance with booking metrics, no-show rates, and team analytics
meetergo's analytics help you understand your scheduling patterns, measure team performance, and identify opportunities to improve. Track bookings over time, monitor no-shows, and optimize your scheduling strategy.
Accessing Analytics
- Go to your Dashboard
- Click Analytics or Insights in the navigation
- Select the date range you want to analyze
Key Metrics
Booking Volume
Track how many meetings are being scheduled:
| Metric | Description |
|---|---|
| Total bookings | All appointments in the period |
| Bookings by type | Breakdown by meeting type |
| Bookings by host | Distribution across team members |
| Booking trend | Volume over time (daily/weekly/monthly) |
No-Show Rate
Monitor missed meetings:
| Metric | Description |
|---|---|
| No-show count | Meetings marked as no-show |
| No-show rate | Percentage of total bookings |
| No-show by type | Which meeting types have higher no-shows |
| No-show trend | Is it improving or worsening? |
Cancellation Metrics
Track cancelled appointments:
| Metric | Description |
|---|---|
| Cancellation count | Total cancelled meetings |
| Cancellation rate | Percentage of bookings cancelled |
| Cancellation timing | How far in advance people cancel |
| Rescheduled vs cancelled | Did they rebook or drop off? |
Dashboard Views
Overview Dashboard
High-level summary showing:
- Total bookings this period
- Comparison to previous period
- Top-performing meeting types
- Alert indicators for issues
Time-Based Analysis
See patterns over time:
- Daily booking volume
- Day-of-week distribution
- Time-of-day popularity
- Seasonal trends
Meeting Type Performance
Compare your meeting types:
- Which gets the most bookings?
- Conversion rate from page visits
- Average booking lead time
- Completion rate
Team Analytics
For organizations with multiple users:
Individual Performance
| Metric | Shows |
|---|---|
| Bookings per user | Who's handling the most meetings |
| Availability utilization | How full is their schedule |
| Response time | How quickly they accept bookings |
| No-show rate per user | Individual reliability metrics |
Team Comparisons
- Distribution of bookings across team
- Capacity vs. actual bookings
- Coverage gaps
- Workload balance
Group Analytics
For round-robin groups:
- How bookings distribute
- Which members are busiest
- Group availability trends
Using Insights
Identify Peak Times
Look for:
- Which days get the most bookings
- Popular booking times
- Seasonal patterns
Action: Ensure adequate coverage during peak times.
Reduce No-Shows
Analyze no-show patterns:
- Do certain meeting types have higher no-shows?
- Are certain times worse than others?
- Do longer lead times increase no-shows?
Action: Add reminders, require confirmation, or reduce booking lead time.
Optimize Meeting Types
Compare meeting type performance:
- Which types convert best?
- Are certain types underutilized?
- Should you consolidate or expand options?
Action: Promote high-performing types, retire underperforming ones.
Balance Team Workload
Review distribution metrics:
- Is one person overloaded?
- Are some team members underutilized?
- Is the round-robin working fairly?
Action: Adjust availability, modify round-robin settings, or add capacity.
Filtering and Segmentation
By Date Range
- Custom date ranges
- Compare periods (this month vs last month)
- Year-over-year analysis
By Meeting Type
- Focus on specific meeting types
- Compare performance across types
By Team Member
- Individual performance review
- Compare team members
By Source
If tracking enabled:
- UTM source attribution
- Referral tracking
- Embed vs direct bookings
Exporting Data
Export Options
- CSV download for spreadsheet analysis
- PDF reports for sharing
- Scheduled email reports
What You Can Export
- Booking lists with details
- Summary statistics
- Time-based breakdowns
- Custom filtered views
Best Practices
Regular Review
Schedule time to review analytics:
- Weekly quick check
- Monthly deep dive
- Quarterly strategic review
Set Benchmarks
Establish baseline metrics:
- Current no-show rate
- Average bookings per week
- Typical cancellation lead time
Then track improvement over time.
Act on Insights
Analytics are only valuable if you act:
- Spot a problem → Implement a solution
- See a trend → Adjust strategy
- Find what works → Do more of it
Share with Team
If relevant:
- Share team metrics (thoughtfully)
- Celebrate improvements
- Discuss challenges together
Troubleshooting
No Data Showing
If analytics are empty:
- Check the date range selected
- Verify you have bookings in that period
- Ensure analytics feature is enabled on your plan
- Clear cache and refresh
Metrics Seem Wrong
If numbers don't match expectations:
- Check filter settings
- Verify the metric definition
- Look for excluded data (cancelled, etc.)
- Compare with raw booking list
FAQ
How far back does analytics data go?
Typically your full history since joining meetergo. Check your plan for data retention details.
Can I track where bookings come from?
Yes, use UTM parameters in your booking links to track sources. See embedding documentation for setup.
Are analytics real-time?
Near real-time. New bookings typically appear within minutes. Some aggregated metrics may update hourly.
Can I share analytics with my team?
Admins can view all analytics. Individual users typically see only their own data unless granted broader access.
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