Overview
The Averages page provides a comprehensive view of your facility's performance metrics over time, tracking entries, exits, and transaction amounts at daily, weekly, or monthly intervals to help you identify trends, patterns, and opportunities for optimization. Access this page from Statistics → Averages in the main navigation.
Key Features:
- Multi-Line Chart: Visualize three key metrics simultaneously for easy comparison
- Time Period Views: Switch between Day, Week, and Month aggregation views
- Trend Analysis: Identify growth patterns, seasonal variations, and anomalies
- Detailed Data Table: Access exact values for every date in the period
- Performance Correlation: Compare entries/exits with revenue generation
- Export Capability: Download data for external analysis and reporting
Performance Chart
The main visualization displays three key performance indicators as line graphs, allowing you to track and compare facility activity and revenue generation over time.
Chart Components
- Entries Line (Green): Number of vehicles or visitors entering the facility
- Exits Line (Red): Number of vehicles or visitors leaving the facility
- Transaction Amount Line (Blue): Total revenue generated per period
- X-Axis: Time periods (dates for daily view, weeks, or months)
- Y-Axis: Count/amount values (automatically scaled)
- Legend: Color-coded indicators at the top of the chart
Chart Features
- Hover Tooltips: See exact values by hovering over any point on the lines
- Zoom Capability: Click and drag to zoom into specific time periods
- Line Toggle: Click legend items to show/hide specific metrics
- Responsive Scaling: Y-axis automatically adjusts to data range
- Trend Smoothing: Lines smoothed for easier pattern recognition
Reading the Chart
The chart helps you identify:
- Traffic Patterns: Peaks and valleys in entry/exit activity
- Occupancy Balance: Compare green (entries) vs red (exits) to spot congestion
- Revenue Correlation: See how traffic volume relates to transaction amounts
- Seasonal Trends: Identify recurring patterns across weeks or months
- Growth Indicators: Track increasing or decreasing trends over time
- Anomaly Detection: Spot unusual spikes or drops requiring investigation
Metrics Explained
Understanding what each metric represents and how it's calculated helps you make data-driven decisions for your parking facility operations.
Entries (Green Line)
Definition: Total number of vehicles or visitors entering the facility during each time period
Data Source: Entry gate sensors, barriers, and access control devices
Update Frequency: Real-time as entries are recorded
- Includes all entry types: hourly, daily, monthly pass holders
- Aggregated by selected time view (day, week, or month)
- Useful for capacity planning and traffic flow optimization
- Compare with historical data to identify growth trends
Key Insights: High entry counts indicate peak demand periods. Consistent entries suggest stable customer base.
Exits (Red Line)
Definition: Total number of vehicles or visitors leaving the facility during each time period
Data Source: Exit gate sensors, payment terminals, and barrier systems
Update Frequency: Real-time as exits are processed
- Includes all exit types: paid, validated, and monthly passes
- Should approximately match entries for balanced occupancy
- Delays between entries and exits indicate parking duration
- Useful for understanding facility turnover rates
Key Insights: Exits lagging behind entries may indicate capacity issues or longer parking sessions. Balanced entry/exit ratios suggest healthy flow.
Transaction Amount (Blue Line)
Definition: Total revenue generated from all transactions during each time period
Data Source: Payment kiosks, online payments, and point-of-sale terminals
Update Frequency: Real-time as payments are completed
- Includes all payment types: cash, card, online, mobile
- May be displayed pre-tax or post-tax (check settings)
- Higher amounts per entry suggest longer parking durations or premium pricing
- Essential for financial forecasting and performance evaluation
Key Insights: High transaction amounts with lower traffic volumes indicate successful premium pricing or longer average stays. Calculate revenue per entry by dividing transaction amount by entries.
Data Table
The data table below the chart provides detailed, row-by-row access to all metrics, enabling precise analysis and easy data export.
Table Columns
| Column | Description | Format |
|---|---|---|
| Date | Time period start date | YYYY-MM-DD |
| Entries | Total entry count for period | Integer (0, 1, 9, etc.) |
| Exits | Total exit count for period | Integer (0, 1, 9, etc.) |
| Transaction amount | Total revenue for period | Currency ($0.00) |
Table Features
- Sorting: Click column headers to sort data ascending or descending
- Pagination: Navigate through multiple pages if dataset is large
- Row Highlighting: Hover over rows for easier reading
- Direct Values: See exact counts and amounts without approximation
- Date Navigation: Quickly scan through chronological data
- Zero Detection: Easily spot days with no activity ($0.00)
Data Export and Analysis
- CSV Export: Download table data for Excel or Google Sheets analysis
- PDF Reports: Generate formatted reports for stakeholders
- API Access: Integrate data with business intelligence tools
- Custom Calculations: Use exported data for ROI, growth rate, and KPI calculations
- Historical Comparison: Compare periods side-by-side in spreadsheet software
Time Views (Day, Week, Month)
The time view buttons at the top right of the chart allow you to change the granularity of data display, from detailed daily views to broader monthly trends.
Day View
Time Span: Last 30-60 days displayed
Granularity: One data point per calendar day
Best For: Detailed daily performance tracking
- Use Cases: Identify specific problem days, track promotional campaign impact, spot equipment failures
- Pattern Recognition: See day-of-week patterns (weekday vs. weekend variations)
- Anomaly Detection: Quickly identify unusual spikes or drops on specific dates
- Short-Term Planning: Make immediate operational adjustments based on recent trends
Example: If you see zero transactions on July 22 and July 24 (as in the screenshot), investigate whether it was a holiday, equipment outage, or facility closure.
Week View
Time Span: Last 12-26 weeks displayed
Granularity: Data aggregated by week (7-day periods)
Best For: Medium-term trend analysis
- Use Cases: Smooth out daily volatility, track monthly business cycles, compare seasonal patterns
- Trend Clarity: Easier to see overall direction without daily noise
- Performance Comparison: Compare "typical" weeks vs. outliers
- Strategic Planning: Identify optimal times for maintenance or facility upgrades
Calculation: Weekly values are averages of daily totals within each 7-day period (Monday to Sunday).
Month View
Time Span: Last 12-24 months displayed
Granularity: Data aggregated by calendar month
Best For: Long-term strategic planning and year-over-year comparison
- Use Cases: Annual budgeting, long-term growth tracking, seasonal pattern identification
- Big Picture View: See overall business trajectory without short-term fluctuations
- Year-Over-Year: Compare same months across different years
- Financial Reporting: Align with accounting periods for financial statements
Calculation: Monthly values are totals or averages of all days within the calendar month.
Trend Analysis Techniques
Learn how to interpret the patterns and trends in your daily averages data to make informed business decisions.
Correlation Analysis
- Entry-Exit Balance: Green and red lines should move together. Persistent gaps indicate occupancy issues or data collection problems
- Revenue per Entry: Divide transaction amount by entries to calculate average revenue per customer. Increasing ratios suggest successful pricing strategies
- Capacity Utilization: Compare entry counts to facility capacity. Consistently high entries near capacity suggest need for expansion
- Seasonal Variations: Look for recurring patterns (e.g., lower traffic in summer, higher in winter) to optimize staffing and pricing
Growth Rate Calculation
Track growth using the following formulas:
- Month-over-Month Growth: ((Current Month - Previous Month) / Previous Month) × 100%
- Year-over-Year Growth: ((This Year - Last Year) / Last Year) × 100%
- Compound Annual Growth Rate (CAGR): Measure long-term growth trajectory
Pattern Recognition
- Cyclical Patterns: Weekly or monthly recurring patterns (e.g., weekend dips, month-end spikes)
- Trending Patterns: Consistent upward or downward movement over time
- Seasonal Patterns: Quarterly or annual variations (summer vs. winter, holiday seasons)
- Random Variations: One-off spikes or drops due to special events or anomalies
Anomaly Investigation
When you spot unusual patterns, investigate these potential causes:
| Pattern | Possible Causes | Action Steps |
|---|---|---|
| Zero entries/exits | Facility closure, equipment failure, data error | Check logs, verify equipment status |
| High entries, low revenue | Free parking event, validation overuse, payment system issue | Review validation policies, check payment logs |
| Low entries, high revenue | Extended parking sessions, monthly renewals, event parking | Analyze session durations, check subscription payments |
| Entries exceed exits | Multi-day parking, exit sensor malfunction, data lag | Check current occupancy, inspect exit equipment |
Performance Benchmarks
Use these industry benchmarks to assess your facility's performance and identify areas for improvement.
Entry/Exit Metrics
| Metric | Target Range | Performance Indicator |
|---|---|---|
| Entry/Exit Ratio | 0.95 - 1.05 (balanced) | Ratios outside range suggest data issues or multi-day parking |
| Daily Entries per Space | 1.5 - 4.0 turnovers | Higher turnovers indicate efficient utilization |
| Peak Day Variance | ±20% from average | High variance suggests capacity challenges |
Revenue Metrics
| Metric | Target Range | Performance Indicator |
|---|---|---|
| Revenue per Entry | $3 - $15 (varies by market) | Low values suggest short stays or validation issues |
| Revenue per Space per Day | $8 - $40 (urban areas higher) | Key profitability indicator |
| Monthly Revenue Growth | 0.5% - 2% (month-over-month) | Negative growth requires investigation |
Facility Type Benchmarks
- Shopping Centers: 2-3 turnovers/day, peak weekends, $5-10 revenue per entry
- Office Buildings: 1-1.5 turnovers/day, peak weekdays, $15-30 revenue per entry (monthly passes)
- Airports: 0.3-1 turnover/day (multi-day), $20-60 revenue per entry
- Event Venues: 1-2 turnovers/day, highly variable, $10-25 revenue per entry
- Hospital/Medical: 1.5-2.5 turnovers/day, steady traffic, $8-18 revenue per entry
Best Practices & Tips
Daily Monitoring Routine
- Check Day view every morning to verify yesterday's data looks normal
- Investigate any days with zero entries, exits, or revenue immediately
- Compare weekday patterns—Monday should roughly match previous Mondays
- Set up automated alerts for anomalies (e.g., <50% of normal entries)
- Review data consistency: entries should approximately equal exits within a week
Weekly Analysis
- Switch to Week view every Friday to review the week's performance
- Calculate revenue per entry ratio to assess pricing effectiveness
- Compare current week to same week last month and last year
- Identify trending patterns—are entries increasing, decreasing, or stable?
- Document any special events or circumstances affecting the data
Monthly Strategic Review
- Use Month view to assess overall business trajectory
- Calculate month-over-month growth rates for all three metrics
- Export data to spreadsheet for deeper analysis and stakeholder reporting
- Compare performance against annual targets and budgets
- Plan operational adjustments (pricing, staffing, maintenance) based on trends
- Document insights and action items for future reference
Data Quality Assurance
- Validate data accuracy by cross-referencing with payment processor reports
- Check that total monthly transaction amounts match financial records
- Investigate persistent entry/exit imbalances (>5% difference over a week)
- Ensure all sensors and data collection devices are functioning properly
- Maintain equipment logs to correlate data gaps with known equipment issues
Optimization Strategies
- Dynamic Pricing: Increase rates during high-entry periods (when blue line peaks align with green line peaks)
- Capacity Management: If entries consistently approach capacity, consider expansion or overflow solutions
- Marketing Focus: Target promotional campaigns during historically low-entry periods to smooth demand
- Staffing Optimization: Adjust staff schedules to match entry/exit patterns, reducing labor costs during quiet periods
- Revenue Enhancement: If revenue per entry is declining, review validation policies and consider fee adjustments
Data-Driven Decisions Start Here!
You now understand performance metrics. Explore more tools to optimize your parking facility operations.
