Test Drive Analytics Dashboard

The Analytics Dashboard provides insights into your test drive operations. Track trends, identify peak times, and measure staff performance.

Accessing Analytics

From the Test Drive Dashboard, click the Analytics button in the header.

Or navigate to: Company > Test Drives > Analytics

Time Period Selection

Choose the analysis period using the buttons at the top:

Key Metrics

Summary Cards

Four key metrics are displayed at the top:

Understanding Completion Rate

Completion Rate = Completed / (Completed + No-Show + Cancelled) x 100

Target benchmarks:

• 90%+ - Excellent scheduling and customer engagement
• 75-90% - Good, room for improvement
• Below 75% - Review no-show and cancellation reasons

Charts & Visualizations

Daily Trend

A bar chart showing test drives per day over the selected period.

What to look for:

• Peak days (usually weekends)
• Slow periods that need marketing push
• Impact of promotions or events
• Seasonal patterns

Day of Week Distribution

Shows which days are busiest for test drives.

Use this to:

• Schedule more staff on busy days
• Plan vehicle maintenance on slow days
• Target marketing for underperforming days

Queue Type Breakdown

Pie chart showing scheduled vs walk-in test drives.

Insights:

• High walk-in % = Good foot traffic, consider more kiosk promotion
• High scheduled % = Good online presence, customers plan ahead
• Balance both for optimal operations

Outcomes Breakdown

Shows the result of all test drives:

Reducing no-shows:

• Send SMS notifications (enable in settings)
• Shorter grace periods for busy times
• Confirm bookings day-before via email

Performance Tables

Top Vehicles

Shows which vehicles get the most test drives.

Use this to:

• Identify popular models
• Ensure hot vehicles are always available
• Focus marketing on high-interest inventory
• Move slow vehicles to more visible spots

Staff Performance

Shows test drive counts by staff member.

Use this to:

• Identify top performers
• Balance workload across team
• Training opportunities for lower performers
• Commission or bonus calculations

Interpreting the Data

Healthy Operations Look Like:

• Steady or growing daily trend - Consistent customer interest
• Weekend peaks - Natural buying patterns
• 70%+ scheduled - Good pre-booking conversion
• 90%+ completion rate - Customers follow through
• Under 15 min wait time - Efficient queue management

Warning Signs:

• Declining trend - May need marketing boost
• High no-show rate - Check SMS notifications, grace period
• Long wait times - Need more test drive vehicles
• Staff imbalance - Redistribute assignments
• One vehicle dominates - Diversify available inventory

Exporting Data

Currently, analytics are view-only. For detailed exports:

1. Go to History view
2. Use filters to select date range
3. View individual records

Coming soon: CSV export functionality

Quick Actions

From the Analytics page, quickly navigate to:

Best Practices

Weekly Review

Every week, check:

1. Completion rate trend
2. Average wait time
3. No-show percentage
4. Staff distribution

Monthly Review

Each month, analyze:

1. Day-of-week patterns
2. Vehicle popularity changes
3. Scheduled vs walk-in balance
4. Overall volume trend

Quarterly Planning

Every quarter, use data for:

1. Staffing adjustments
2. Vehicle purchasing decisions
3. Marketing campaign planning
4. Process improvements