Email Analytics

Email Analytics

Monitor email performance, delivery rates, and user engagement through comprehensive analytics and reporting.

Overview

The email analytics system provides insights into:

  • Delivery Performance: Success rates and failure analysis

  • Template Usage: Most popular email templates

  • Sending Volume: Email activity over time

  • Error Tracking: Detailed failure information

  • Trend Analysis: Performance patterns and improvements

Analytics Dashboard

Accessing Analytics

  1. Navigate to Admin Dashboard → Settings → Email System

  2. Click on the Analytics tab

  3. Select your desired time range (7, 30, or 90 days)

Key Metrics Overview

The dashboard displays four primary metrics cards:

Total Sent

  • Description: Successfully delivered emails

  • Icon: Green checkmark

  • Calculation: Count of emails with 'sent' status

  • Good Performance: High numbers indicate active email system

Pending

  • Description: Emails currently being processed

  • Icon: Yellow mail icon

  • Calculation: Count of emails with 'pending' status

  • Normal Range: Should be low during non-sending periods

Failed

  • Description: Emails that couldn't be delivered

  • Icon: Red alert circle

  • Calculation: Count of emails with 'failed' status

  • Target: Keep as low as possible (< 5% of total)

Delivery Rate

  • Description: Percentage of successful email deliveries

  • Icon: Blue trending up arrow

  • Calculation: (Total Sent / Total Emails) × 100

  • Benchmark: Aim for > 95% delivery rate

Charts and Visualizations

Email Activity Over Time

Chart Type: Bar chart showing daily email activityPurpose: Track sending patterns and identify peak usageData Displayed:

  • Green bars: Successfully sent emails

  • Red bars: Failed deliveries

  • Yellow bars: Pending emails

Insights:

  • Identify busy sending periods

  • Spot unusual activity spikes

  • Monitor system reliability over time

Template Usage Distribution

Chart Type: Pie chart showing template popularityPurpose: Understand which templates are used most frequentlyData Displayed:

  • Template names with usage percentages

  • Color-coded segments for different templates

  • Hover tooltips with exact counts

Insights:

  • Identify most valuable templates

  • Find unused templates for cleanup

  • Guide template optimization efforts

Template Performance Analysis

Performance Metrics Table

For each email template, the system tracks:

Total Usage: Number of times template was usedSent Count: Successfully delivered emails using this templateFailed Count: Failed deliveries for this templateSuccess Rate: Percentage of successful deliveriesPerformance Badges: Visual indicators for performance levels

Performance Indicators

Success Rate Badges:

  • Green (Default): > 95% success rate

  • Yellow (Secondary): 90-95% success rate

  • Red (Destructive): < 90% success rate

Template Optimization

Use performance data to:

  1. Identify problematic templates: Low success rates

  2. Optimize content: Improve deliverability

  3. Update configurations: Fix technical issues

  4. Archive unused templates: Clean up template library

Time Range Analysis

Available Time Ranges

Last 7 Days: Recent performance and immediate issues

  • Best for: Daily monitoring and quick issue identification

  • Update frequency: Real-time

Last 30 Days: Monthly trends and pattern analysis

  • Best for: Regular performance reviews

  • Update frequency: Hourly

Last 90 Days: Quarterly analysis and long-term trends

  • Best for: Strategic planning and system evaluation

  • Update frequency: Daily

Comparative Analysis

When switching time ranges, compare:

  • Volume changes: Increasing or decreasing email activity

  • Performance trends: Improving or degrading delivery rates

  • Error patterns: Recurring vs. one-time issues

  • Template adoption: New templates gaining popularity

Error Analysis

Error Categorization

The system categorizes email failures into:

SMTP Errors:

  • Authentication failures

  • Connection timeouts

  • Rate limiting issues

  • Server unavailability

Recipient Errors:

  • Invalid email addresses

  • Mailbox full

  • Domain not found

  • Spam filtering

Content Errors:

  • Template rendering failures

  • Variable substitution errors

  • Malformed HTML content

  • Size limitations

Error Resolution

Common SMTP Errors:

  1. Check SMTP configuration settings

  2. Verify credentials and authentication

  3. Review provider rate limits

  4. Test connection manually

Recipient Issues:

  1. Validate email address formats

  2. Clean email lists regularly

  3. Handle bounces appropriately

  4. Monitor reputation scores

Content Problems:

  1. Test templates before deployment

  2. Validate all required variables

  3. Check HTML formatting

  4. Monitor email size limits

Performance Benchmarks

Industry Standards

Delivery Rate: > 95%

  • Excellent: > 98%

  • Good: 95-98%

  • Needs improvement: < 95%

Bounce Rate: < 5%

  • Excellent: < 2%

  • Acceptable: 2-5%

  • High: > 5%

Failure Rate: < 3%

  • Excellent: < 1%

  • Acceptable: 1-3%

  • High: > 3%

DAO-Specific Considerations

Governance Emails: Higher engagement expected

  • Target delivery rate: > 98%

  • Critical for voting notifications

  • Monitor closely during voting periods

Transactional Emails: Must be highly reliable

  • Target delivery rate: > 99%

  • Includes purchase confirmations, security alerts

  • Immediate delivery required

Marketing Emails: May have higher bounce rates

  • Target delivery rate: > 90%

  • Users may opt out more frequently

  • Monitor unsubscribe rates

Automated Reporting

Daily Reports

Automated daily summaries include:

  • Previous day's sending volume

  • Delivery rate performance

  • Any error spikes or issues

  • Template usage changes

Weekly Reports

Weekly analytics reports provide:

  • 7-day performance trends

  • Template performance comparison

  • Error pattern analysis

  • Recommendations for improvement

Monthly Reports

Comprehensive monthly reports feature:

  • Complete performance analysis

  • Template optimization suggestions

  • System health assessment

  • Strategic recommendations

Data Export

Available Export Formats

CSV Export: Raw data for external analysis

  • Email logs with timestamps

  • Success/failure status

  • Template usage statistics

  • Error details and codes

PDF Reports: Formatted analytics summaries

  • Executive summary format

  • Charts and visualizations

  • Performance benchmarks

  • Recommendations section

Export Process

  1. Select desired time range

  2. Choose export format (CSV or PDF)

  3. Click export button

  4. Download generated file

  5. Import into external tools if needed

Integration with Other Systems

Supabase Analytics

Email analytics integrate with Supabase's built-in analytics:

  • Database query performance

  • Function execution metrics

  • API usage statistics

  • Overall system health

External Tools

Export data for use with:

  • Google Analytics: Track email-driven website traffic

  • Business Intelligence: Comprehensive performance dashboards

  • CRM Systems: Customer communication tracking

  • Marketing Platforms: Campaign performance analysis

Troubleshooting Analytics

Missing Data

If analytics show no data:

  1. Verify time range selection

  2. Check if any emails were sent in the period

  3. Confirm database connectivity

  4. Review error logs for issues

Incorrect Metrics

If numbers seem wrong:

  1. Cross-reference with email logs

  2. Check for timezone differences

  3. Verify data aggregation logic

  4. Compare with SMTP provider statistics

Performance Issues

If analytics load slowly:

  1. Reduce time range scope

  2. Check database performance

  3. Clear browser cache

  4. Contact system administrator

Best Practices

Regular Monitoring

  1. Daily checks: Review key metrics during active periods

  2. Weekly analysis: Identify trends and patterns

  3. Monthly reviews: Comprehensive performance evaluation

  4. Quarterly planning: Strategic improvements and goals

Data-Driven Decisions

Use analytics to:

  1. Optimize sending times: Find peak engagement periods

  2. Improve templates: Focus on high-performing content

  3. Clean email lists: Remove consistently failing addresses

  4. Plan capacity: Prepare for high-volume periods

Continuous Improvement

  1. Set benchmarks: Establish performance goals

  2. Track progress: Monitor improvement over time

  3. Test changes: A/B test template modifications

  4. Document learnings: Keep records of successful optimizations

This comprehensive analytics system ensures you have complete visibility into your email system's performance and can make data-driven decisions to improve communication effectiveness.

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