Revenue Statistics

Track financial performance with comprehensive revenue analytics, payment methods, and transaction history

Overview

The Revenue Statistics page provides comprehensive financial analytics for your parking operations, helping you track income, analyze payment patterns, and optimize pricing strategies. Access this page from Statistics → Revenue in the main navigation.

Key Features:

  • Real-Time Metrics: Track total and daily revenue with live updates
  • Revenue Trends: Visualize monthly income patterns and growth
  • Payment Analysis: Monitor payment method distribution and preferences
  • Tax Reporting: Calculate tax amounts and generate summaries
  • Transaction History: View detailed records of all transactions
  • Time Filtering: Compare data across 24h, 7d, 1m, 3m, 6m, Custom periods
  • Revenue Segmentation: Analyze income by payment type, company, and tags
💡 Use Case: Analyze revenue patterns during peak hours to optimize pricing strategies, and track payment method preferences to ensure proper payment infrastructure is available.

Dashboard Metrics

The top section displays key financial indicators that provide at-a-glance insights into your parking facility's revenue performance.

Total Revenue

Description: Cumulative revenue generated for the selected time period
Icon: Green euro/currency symbol
Updates: Real-time with each completed transaction

  • Includes all payment types (equipment, online, point of sale, manual)
  • Filters based on selected timeframe (24h, 7d, 1m, etc.)
  • Displays amount before taxes by default
  • Currency symbol adjusts based on system settings
  • Useful for tracking overall financial performance

Today's Revenue

Description: Total revenue generated since midnight (00:00)
Icon: Blue calendar/ticket symbol
Resets: Daily at midnight

  • Always shows current day regardless of filter selection
  • Compare against daily targets and averages
  • Monitor day-over-day revenue growth
  • Quick indicator of daily financial performance
  • Includes all transaction types completed today

Average Transaction

Description: Average revenue per transaction in selected period
Icon: Yellow receipt/calculation symbol
Calculation: Total Revenue ÷ Number of Transactions

  • Calculated from all completed transactions
  • Updates when time filter changes
  • Shows "$0.00" if no transactions recorded
  • Useful for pricing strategy analysis
  • Compare with target average to assess pricing effectiveness
📊 Analysis Tip: A declining average transaction value may indicate shorter parking durations or increased discount usage. Monitor this metric alongside occupancy data for comprehensive insights.

Monthly Revenue Chart

The bar chart displays revenue distribution over time, helping identify seasonal patterns, growth trends, and revenue fluctuations.

Chart Features

  • X-Axis: Time periods (hours for 24h/7d, dates for 1m, months for longer)
  • Y-Axis: Revenue amount (automatically scaled)
  • Bars: Cyan/blue bars representing revenue per period
  • Hover Details: Exact amounts displayed on mouse hover
  • Grid: Light gray reference lines for easier reading

Reading the Chart

The chart helps you identify:

  • Peak Revenue Hours: Identify highest-earning time periods
  • Growth Trends: Track month-over-month revenue increases
  • Seasonal Patterns: Recognize recurring high and low revenue periods
  • Anomalies: Spot unusual spikes or drops requiring investigation
  • Weekend vs. Weekday: Compare revenue patterns by day type
📈 Growth Tracking: Compare current period bars with previous periods to calculate growth percentage and identify successful pricing or promotional strategies.

Time Period Aggregation

Revenue is aggregated based on selected time filter:

Time Filter Chart Granularity Example Display
24 Hours Hourly 00:00, 01:00, 02:00...
7 Days Hourly or Daily Mon, Tue, Wed...
1 Month Daily Dec 1, Dec 2, Dec 3...
3-6 Months Monthly Jul, Aug, Sep...
Time Filter
24 Hours
Chart Granularity
Hourly
Example Display
00:00, 01:00, 02:00...
Time Filter
7 Days
Chart Granularity
Hourly or Daily
Example Display
Mon, Tue, Wed...
Time Filter
1 Month
Chart Granularity
Daily
Example Display
Dec 1, Dec 2, Dec 3...
Time Filter
3-6 Months
Chart Granularity
Monthly
Example Display
Jul, Aug, Sep...

Revenue per Type (Pie Chart)

The donut chart visualizes revenue distribution across different payment types, helping you understand customer payment preferences and channel performance.

Payment Type Categories

  • Payment on Equipment: Transactions at kiosks or payment terminals (cyan)
  • Online Payment: Web-based or mobile app payments (teal)
  • Point of Sale Payment: Manual terminal transactions (blue)
  • Manual / Offline Payment: Cash or recorded offline payments (orange/yellow)

Chart Interpretation

The chart displays:

  • Segment Size: Proportional to revenue percentage
  • Total Amount: Displayed in center of donut
  • Legend: Color-coded payment types with amounts
  • Hover Details: Exact revenue and percentage on mouse hover

Business Insights

  • Equipment Dominance: High percentage indicates effective kiosk placement
  • Online Growth: Increasing online payments suggest mobile adoption
  • Manual Payments: High percentage may indicate need for more automated solutions
  • Channel Optimization: Invest in infrastructure for highest-performing channels
💡 Recommendation: If manual payments exceed 30%, consider adding more self-service payment kiosks to reduce staff workload and improve customer convenience.

Payment Methods Distribution

The payment methods donut chart shows revenue breakdown by card brand and payment processor, helping you understand which payment networks your customers prefer.

Supported Payment Methods

  • INTERAC: Canadian debit card network (cyan)
  • Mastercard: International credit/debit card (dark blue)
  • VISA: International credit/debit card (purple/violet)
  • American Express: Credit card network (if enabled)
  • Other: Alternative payment methods or unclassified

Chart Features

  • Segment Proportions: Size reflects revenue share per method
  • Amount Labels: Exact revenue amounts displayed per segment
  • Legend Icons: Payment brand logos for easy identification
  • Percentage View: Calculate market share of each payment network

Strategic Applications

  • Fee Negotiation: Use volume data to negotiate lower processing fees
  • Equipment Planning: Ensure terminals support most-used networks
  • Regional Preferences: Adapt payment options to local market
  • Fraud Monitoring: Track unusual patterns by payment network
  • Customer Experience: Ensure fast processing for popular methods
💳 Optimization: Monitor processing times and decline rates for each payment method. High decline rates on a specific network may indicate terminal issues or network problems.

Tax Summary

The tax summary section provides a detailed breakdown of revenue components, including pre-tax amounts, individual tax calculations, and total amounts with tax.

Tax Summary Components

  • Total Amount: Subtotal before taxes
  • Tax: Total combined tax amount
  • Total with Tax: Final amount including all taxes
  • Average Tax per Transaction: Mean tax amount per completed transaction

Multi-Jurisdictional Taxes

For locations with multiple tax rates (e.g., Canada with GST/HST and PST):

  • Tax #1: First tax rate (e.g., GST 5% or HST)
  • Tax #2: Second tax rate (e.g., PST/QST)
  • Tax Labels: Configure in Settings → Configuration → Taxes
  • Separate Tracking: Each tax calculated and reported independently

Reporting and Compliance

  • Tax Remittance: Use totals for government tax filing
  • Audit Trail: Individual transactions available in Recent Transactions
  • Export Data: Download reports for accounting software integration
  • Period Comparison: Compare tax collected across different timeframes
  • Tax Rate Changes: Historical data reflects rates at time of transaction
⚠️ Compliance Note: Consult with your accountant to ensure tax configuration matches jurisdictional requirements. The system tracks taxes as configured but does not provide tax advice.

Revenue per Company & Tag

These donut charts segment revenue by customer company and transaction tags, helping you identify top revenue sources and categorize income streams.

Revenue per Company

Tracks revenue attributed to registered companies or organizations:

  • Company Accounts: Revenue from corporate parking accounts
  • Not Defined: Revenue from individual customers without company association
  • Top Companies: Identify highest-value corporate clients
  • B2B vs B2C: Compare business and consumer revenue streams
🏢 Corporate Strategy: High revenue from specific companies may justify dedicated parking spaces or preferential rates to strengthen business relationships.

Revenue per Tag

Categorizes revenue by custom tags for flexible revenue tracking:

  • Custom Categories: Tag transactions by event, promotion, or type
  • Campaign Tracking: Measure revenue from marketing campaigns
  • Zone-Based: Compare revenue across different facility zones
  • Not Defined: Transactions without assigned tags
  • Multi-Tag: Transactions can have multiple tags for detailed analysis

Tag Configuration: Set up tags in Settings → Configuration → Tags, then apply to transactions manually or via automation rules.

Recent Transactions Table

The transactions table provides a detailed, chronological list of all revenue-generating transactions, enabling transaction-level analysis and verification.

Table Columns

  • Date: Transaction timestamp (YYYY-MM-DD HH:MM:SS)
  • Invoice: Unique invoice number (e.g., INV-0, INV-1)
  • Customer: Customer name or "Not defined" for anonymous
  • Description: Transaction details or service description
  • Amount: Pre-tax transaction amount
  • Tax #1: First tax amount (e.g., GST/HST)
  • Tax #2: Second tax amount (e.g., PST/QST)
  • Total: Final amount with all taxes included
  • Method: Payment method used (INTERAC, MASTERCARD, VISA)
  • Status: Transaction status (Completed, Pending, Failed)

Table Features

  • Sorting: Click column headers to sort ascending/descending
  • Pagination: Navigate through multiple pages of transactions
  • Search: Filter transactions by invoice, customer, or amount
  • Export: Download transaction data as CSV or PDF
  • Row Selection: Select multiple transactions for batch operations
  • Status Colors: Green for Completed, Yellow for Pending, Red for Failed

Transaction Status Meanings

Status Description Action Required
Completed Payment successfully processed and funds received None - transaction complete
Pending Payment initiated but not yet confirmed Monitor for completion or failure
Failed Payment declined or error occurred Investigate reason and retry if appropriate
Status
Completed
Description
Payment successfully processed and funds received
Action Required
None - transaction complete
Status
Pending
Description
Payment initiated but not yet confirmed
Action Required
Monitor for completion or failure
Status
Failed
Description
Payment declined or error occurred
Action Required
Investigate reason and retry if appropriate
🔍 Audit Tip: Regularly review failed transactions to identify patterns (e.g., specific payment methods or time periods) that may indicate equipment issues or processing problems.

Time Period Filtering

The time filter buttons allow you to quickly analyze revenue across different periods, enabling trend analysis and performance comparison.

Available Time Filters

  • 24h (24 Hours): Last 24 hours from current time
  • 7d (7 Days): Last 7 days including today
  • 1m (1 Month): Last 30 days
  • 3m (3 Months): Last 90 days
  • 6m (6 Months): Last 180 days
  • Custom: Select specific date range with date picker

Filter Behavior

  • Instant Update: All metrics and charts refresh immediately on filter change
  • Rolling Windows: Time ranges move with current date (e.g., "last 7 days" always includes today)
  • Persistent Selection: Filter choice persists during session
  • Visual Indicator: Selected filter highlighted in blue

Custom Date Range

The Custom option opens a date picker for precise range selection:

  • Start Date: Beginning of analysis period (inclusive)
  • End Date: End of analysis period (inclusive)
  • Maximum Range: Up to 4 years (1460 days)
  • Time Component: Includes full days (00:00:00 to 23:59:59)
📊 Analysis Tip: Use Custom range to compare specific promotional periods (e.g., holiday season 2024 vs. 2023) or align with fiscal quarters for accurate financial reporting.

Best Practices & Tips

Daily Revenue Monitoring

  • Review Today's Revenue each morning to track daily performance
  • Compare against historical daily averages to spot trends early
  • Investigate significant deviations (±20%) from expected revenue
  • Monitor transaction counts alongside revenue for average ticket insights

Payment Infrastructure Optimization

  • Ensure all kiosks support payment methods representing >80% of revenue
  • Negotiate payment processing fees based on volume data from Payment Methods chart
  • Monitor decline rates by payment type; >5% warrants investigation
  • Consider adding contactless payment options if mobile adoption is growing
  • Keep backup payment terminals operational during peak hours

Revenue Trend Analysis

  • Use Monthly Revenue chart to identify seasonal patterns and plan staffing
  • Compare month-over-month growth to assess pricing strategy effectiveness
  • Track impact of promotions by viewing revenue before/during/after campaigns
  • Identify underperforming periods and consider dynamic pricing adjustments
  • Document major events or changes that correlate with revenue spikes/drops

Tax Compliance

  • Export transaction data monthly for accounting software integration
  • Verify tax calculations match jurisdictional requirements quarterly
  • Reconcile Tax Summary totals with payment processor statements
  • Maintain transaction records for minimum 7 years for audit purposes
  • Update tax rates immediately when jurisdictional changes occur

Performance Benchmarking

  • Track Average Transaction value to measure pricing effectiveness
  • Compare revenue per space to industry benchmarks ($2-8 per space per day)
  • Calculate revenue per hour during peak times to assess capacity utilization
  • Monitor revenue per customer type (hourly, monthly, corporate) for mix analysis
  • Set quarterly revenue targets and track progress weekly
✓ Success Metric: Healthy parking facilities typically see 70-85% of revenue during weekday business hours (7 AM - 7 PM), with consistent month-over-month growth of 3-5%.

Revenue Analytics Complete!

Your financial tracking is configured. Explore related documentation for complete operational oversight.