Analytics & Reporting
Comprehensive business intelligence and reporting tools for data-driven decision making.
Dashboard Overview
Real-Time Metrics
Live Dashboard Updates Every 30 Seconds:
- Current vehicles in shop
- Today's appointments
- Jobs in progress
- Technician availability
- Revenue today
- Customer check-ins
Key Performance Indicators (KPIs)
| Metric | Formula | Industry Benchmark |
|---|---|---|
| Average Repair Order | Total Revenue / Total ROs | $400-600 |
| Car Count | Vehicles Serviced / Period | 15-20/day |
| Labor Efficiency | Billed Hours / Available Hours | 85%+ |
| Gross Profit Margin | (Revenue - COGS) / Revenue | 50-60% |
| Customer Retention | Repeat Customers / Total | 60%+ |
Revenue Analytics
Revenue Breakdown
- Service Revenue - Labor charges
- Parts Revenue - Parts sales
- Supply Fees - Shop supplies
- Other Income - Towing, storage
- Discounts Given - Reductions applied
- Net Revenue - After all adjustments
Trending Analysis
Monthly Comparison:
- This Month: $45,000 (Up 12%)
- Last Month: $40,000
- Same Month Last Year: $38,000 (Up 18%)
Quarter Performance:
- Q1: $120,000
- Q2: $135,000 (Up 12.5%)
- Q3: $142,000 (Up 5.2%)
- Q4: Projected $150,000
Service Mix Analysis
| Service Category | Revenue % | Profit Margin |
|---|---|---|
| Oil Changes | 15% | 35% |
| Brakes | 25% | 55% |
| Diagnostics | 10% | 70% |
| Tires | 20% | 40% |
| Major Repairs | 30% | 60% |
Customer Analytics
Customer Metrics
- New vs Returning - Acquisition tracking
- Lifetime Value - Total spend per customer
- Visit Frequency - Days between visits
- Service Preferences - Most requested
- Geographic Distribution - Customer locations
- Referral Sources - How they found you
Loyalty Program Performance
Tier Distribution:
- Bronze: 45% of customers
- Silver: 30% of customers
- Gold: 20% of customers
- Platinum: 5% of customers
Points Activity:
- Earned This Month: 50,000
- Redeemed: 15,000
- Outstanding: 235,000
Operational Analytics
Shop Efficiency Metrics
| Area | Metric | Current | Target |
|---|---|---|---|
| Bay Utilization | Active bays / Total | 75% | 85% |
| First-Time Fix Rate | No comebacks | 96% | 98% |
| Cycle Time | Check-in to delivery | 3.5 hrs | 3 hrs |
| Inspection Conversion | Approved work | 65% | 70% |
| Parts Availability | In-stock rate | 80% | 85% |
Technician Performance
- Individual Productivity - Hours billed
- Efficiency Rate - Actual vs estimated
- Comeback Rate - Quality metric
- Skill Utilization - Specialty work
- Training ROI - Performance improvement
Appointment Analytics
Booking Patterns
Peak Times:
- Monday: 8-10 AM (Drop-offs)
- Tuesday-Thursday: Steady flow
- Friday: 3-5 PM (Pickups)
- Saturday: 8 AM-12 PM
Booking Sources:
- Online: 45%
- Phone: 35%
- Walk-in: 15%
- Repeat: 5%
No-Show Analysis
- Rate by Day - Pattern identification
- Customer History - Repeat offenders
- Service Type - Which services
- Financial Impact - Lost revenue
- Prevention Success - Reminder effectiveness
Financial Reports
Profit & Loss Statement
Revenue:
- Service Revenue: $35,000
- Parts Revenue: $15,000
- Total Revenue: $50,000
Cost of Goods Sold:
- Parts Cost: $7,500
- Labor Cost: $12,000
- Total COGS: $19,500
Gross Profit: $30,500 (61%)
Operating Expenses:
- Rent: $5,000
- Utilities: $1,000
- Insurance: $2,000
- Marketing: $1,500
- Total OpEx: $9,500
Net Profit: $21,000 (42%)
Cash Flow Analysis
| Period | Inflow | Outflow | Net |
|---|---|---|---|
| Week 1 | $12,000 | $8,000 | +$4,000 |
| Week 2 | $13,500 | $9,000 | +$4,500 |
| Week 3 | $11,000 | $7,500 | +$3,500 |
| Week 4 | $13,500 | $10,000 | +$3,500 |
| Monthly | $50,000 | $34,500 | +$15,500 |
Marketing Analytics
Campaign Performance
- Email Open Rate - 25% average
- SMS Response Rate - 15% average
- Website Traffic - Source tracking
- Conversion Rate - Visitor to booking
- ROI by Channel - Cost effectiveness
- Review Generation - Success rate
Customer Acquisition Cost (CAC)
Channel Breakdown:
- Google Ads: $45 per customer
- Facebook: $35 per customer
- Referrals: $10 per customer
- Organic: $0 per customer
- Average CAC: $28
Custom Reports
Report Builder Features
- Drag-and-drop - Easy creation
- Multiple data sources - Comprehensive
- Custom calculations - Advanced metrics
- Scheduled delivery - Email automation
- Export formats - PDF, CSV, Excel
Popular Custom Reports
- Daily Closeout - End of day summary
- Weekly Team Performance - Staff metrics
- Monthly Service Analysis - Category breakdown
- Quarterly Business Review - Executive summary
- Annual Tax Report - Year-end financials
Predictive Analytics
Forecasting Models
- Revenue Projection - Based on trends
- Seasonal Adjustments - Weather impact
- Customer Lifetime Value - Predictive scoring
- Maintenance Predictions - Service due dates
- Inventory Needs - Parts forecasting
Alert System
| Alert Type | Trigger | Action |
|---|---|---|
| Low Productivity | Below 70% | Manager notification |
| High No-Shows | Above 10% | Review booking policy |
| Inventory Low | Below reorder point | Auto-purchase order |
| Revenue Drop | 20% below average | Analysis required |
| Customer Churn | 90 days inactive | Win-back campaign |
Data Filters & Segments
Available Filters
- Date Range - Custom periods
- Service Type - Category selection
- Technician - Individual performance
- Customer Segment - Demographics
- Vehicle Type - Make/model
- Payment Method - Transaction type
Saved Views
- Create custom dashboards
- Save filter combinations
- Share with team members
- Schedule automated reports
- Export configurations
Compliance Reporting
Required Reports
- Sales Tax Summary - Monthly filing
- Payroll Reports - Bi-weekly
- Environmental Compliance - Waste disposal
- Safety Incidents - OSHA requirements
- Financial Audits - Annual preparation
Best Practices
Daily Review
Check morning dashboard Review yesterday's performance Monitor today's schedule Track technician productivity Verify cash reconciliation
Weekly Analysis
Compare to previous week Review customer feedback Analyze service mix Check marketing ROI Plan next week's capacity
Monthly Deep Dive
Full P&L analysis Customer retention review Technician performance Inventory turnover Strategic planning
Transform data into decisions with powerful analytics and actionable insights.