Raffle Analytics

Track your raffle performance with the built-in analytics dashboard.

Overview

The analytics dashboard provides insights into:

• Ticket sales and revenue
• Gift vs personal purchases
• Top purchasers
• Sales trends over time

Access: WooCommerce → Raffle Analytics

Dashboard Components

Summary Cards

Four key metrics at a glance:

Card	Shows
Total Tickets	Number of tickets sold (not cancelled)
Total Revenue	Ticket sales revenue
Gift Purchases	Percentage bought as gifts
Unique Buyers	Number of distinct purchasers

Sales Chart

Visual representation of ticket sales:

• X-axis: Days in selected period
• Y-axis: Tickets sold
• Hover for daily details

Top Purchasers

Table showing your best customers:

• Customer email
• Total tickets purchased
• Quick link to customer orders

Filtering Data

Date Range

Default filters:

• Last 7 Days
• Last 30 Days
• This Month
• Last Month
• Custom Range

For custom range:

• Select "Custom"
• Choose start date
• Choose end date
• Click Apply Filters

By Raffle

Filter to specific raffle:

• Select raffle from dropdown
• Click Apply Filters
• All metrics update for that raffle

"All Raffles" shows combined data.

Metrics Explained

Total Tickets

• Counts all non-cancelled tickets
• Includes gift purchases
• Each quantity = separate ticket

Not counted:

• Cancelled orders
• Refunded tickets
• Pending orders

Total Revenue

• Sum of ticket prices
• Based on order totals
• In store currency

Note: Revenue is from completed orders only.

Gift Purchase Percentage

Formula: (Gift Tickets / Total Tickets) × 100

Helps understand:

• How popular gifting is
• Marketing opportunity for gifts
• Social spread of your raffle

Unique Buyers

• Count of distinct email addresses
• Based on purchaser email
• Indicates reach/engagement

Higher is better - means more participants, not just repeat buyers.

Exporting Data

CSV Export

Click Export CSV to download:

• All filtered data
• Includes all metrics
• Opens in Excel/Google Sheets

Export Contents

Column	Description
Date	Date of data point
Total Tickets	Tickets for that day
Revenue	Revenue for that day
Gift Tickets	Gift purchases that day
Personal Tickets	Non-gift purchases
Unique Buyers	New buyers that day

PDF Export

Click Export PDF for:

• Formatted report
• Includes charts
• Professional layout
• Print-ready

Use Cases

Performance Tracking

Questions to answer:

• Which raffle performs best?
• When are sales highest?
• What's average ticket price?

Marketing Planning

Questions to answer:

• Should we promote gifting more?
• What day to launch next raffle?
• How many tickets per customer?

Financial Reporting

Questions to answer:

• Total raffle revenue this month?
• Comparison to last month?
• Top revenue-generating raffles?

Data Interpretation

Reading the Chart

Peaks: Days with high sales

• Look for patterns (weekends, after emails)
• Replicate successful tactics

Valleys: Low sales days

• Normal variation expected
• Consider marketing on slow days

Healthy Metrics

Metric	Good Sign
Steady chart	Consistent interest
Gift % > 10%	Social sharing working
Growing unique buyers	Expanding reach
Revenue meeting goals	Pricing appropriate

Warning Signs

Metric	Concern
Flat chart	May need promotion
Gift % < 5%	Gifting not enabled/promoted
Few unique buyers	Same people buying repeatedly
Revenue below costs	Pricing or reach issue

Comparison Tips

Compare Raffles

• Run report for Raffle A
• Note key metrics
• Run report for Raffle B
• Compare side by side

Insights:

• What made successful raffle work?
• Prize value correlation?
• Duration impact?

Compare Time Periods

• Run This Month
• Run Last Month
• Calculate % change

Insights:

• Growing or declining?
• Seasonal patterns?
• Marketing effectiveness?

Best Practices

Regular Review

• Weekly: Check sales chart
• Monthly: Export full report
• Per Raffle: Review at end

Documentation

• Save exports for records
• Note marketing activities
• Track what works

Privacy

• Purchaser emails visible
• Use for support only
• Don't share externally

Technical Notes

Data Freshness

• Real-time data
• Updates on page load
• Click "Refresh" for latest

Browser Compatibility

Charts work best in:

• Chrome
• Safari
• Firefox
• Edge

Note: Enable JavaScript for charts.

Large Datasets

For stores with many tickets:

• Initial load may take a few seconds
• Consider smaller date ranges
• Export for detailed analysis