Reports
Revenue analytics and usage insights for your Hygate workspace.
Overview
The Reports module transforms your payment and session data into actionable business intelligence. Generate revenue reports, analyze usage patterns, and export data for further analysis.
Revenue Reports
Views
| View | Description |
|---|---|
| Daily | Revenue broken down by individual day |
| Weekly | Revenue aggregated by week |
| Monthly | Revenue aggregated by month |
Switch between views using the time period selector at the top of the Reports page.
Revenue Breakdown
| Metric | Description |
|---|---|
| Total Revenue | Sum of all SUCCEEDED payments (excluding refunds) |
| Payment Count | Number of successful transactions |
| Average Transaction | Total revenue divided by payment count |
| Refunded Amount | Total amount refunded |
Grouping
Revenue can be grouped by:
- Module — Door vs. Device revenue
- Location — Revenue per physical location
This helps identify which areas drive the most revenue.
Usage Analytics
Session Metrics
| Metric | Description | Why It Matters |
|---|---|---|
| Total Sessions | All completed sessions | Measures overall utilization |
| Average Duration | Average session length | Helps optimize plan durations |
| Cancellation Rate | Sessions cancelled early | May indicate technical issues |
| Peak Hours | Busiest times of day | Informs staffing and pricing |
Device Utilization
Understand how efficiently each device is being used:
- Sessions per device
- Revenue per device
- Average session duration per device
- Utilization rate (active hours vs. available hours)
Filtering
| Filter | Description |
|---|---|
| Date range | Custom period or preset (Today, Week, Month, Quarter) |
| Module | All, Door, Device |
| Location | Filter by specific location |
Filtered reports reflect the selected criteria across all metrics.
Key Performance Indicators
Common KPIs
| KPI | Formula | What It Tells You |
|---|---|---|
| Revenue Per Door | Door revenue ÷ Door sessions | Which doors are most profitable |
| Revenue Per Device | Device revenue ÷ Device sessions | Top-earning appliances |
| Session Conversion | Sessions ÷ Door views | How many QR scans convert to payments |
| Average Session Value | Revenue ÷ Sessions | Pricing optimization benchmark |
| Location Performance | Revenue per location | Identify top-performing properties |
| Peak Occupancy | Active sessions at peak ÷ Total devices | Utilization efficiency |
Setting Revenue Targets
Use historical data to set informed targets:
If last month's revenue = €2,400
And average monthly growth = 8%
Then next month's target = €2,592
Exporting Reports
Download as CSV
- Apply your desired filters
- Click Export
- The CSV includes all visible data rows and columns
What Gets Exported
| Report Type | Data Included |
|---|---|
| Revenue | Date, module, location, amount, currency, status |
| Usage | Session date, device, location, duration, status |
| Payments | Full payment record fields |
Data Retention
Payment records and session data are retained indefinitely. Contact your hosting provider for data backup and retention policies.
Tips for Analysis
Weekly Review
Each week, review:
- Total revenue vs. previous week
- Any failed payment spikes
- Cancellation rate trend
- Top-performing location
Monthly Planning
Each month:
- Compare against previous months
- Identify seasonal patterns
- Adjust pricing based on utilization data
- Review device performance for maintenance needs
Revenue Optimization
Use the data to make pricing decisions:
- If a device has 100% utilization, consider raising the price
- If cancellation rate is high, investigate technical issues
- If certain locations underperform, review pricing or accessibility