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Analytics and Reporting Guide

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Understanding Email Marketing Metrics

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Key Performance Indicators (KPIs)

Learn the essential metrics that measure your email marketing success:

• Open Rate: Percentage of recipients who opened your email
  • Formula: (Number of opens ÷ Number of delivered emails) × 100
  • Industry average: 15-25% (varies by industry)
  • What it indicates: Subject line effectiveness and sender reputation
• Click-Through Rate (CTR): Percentage of recipients who clicked on a link
  • Formula: (Number of clicks ÷ Number of delivered emails) × 100
  • Industry average: 2-5% (varies by industry)
  • What it indicates: Content relevance and call-to-action effectiveness
• Click-to-Open Rate (CTOR): Percentage of opened emails that received clicks
  • Formula: (Number of clicks ÷ Number of opens) × 100
  • Industry average: 10-20% (varies by industry)
  • What it indicates: Content quality and engagement
• Bounce Rate: Percentage of emails that weren’t delivered
  • Soft bounces: Temporary delivery failures (full inbox, server down)
  • Hard bounces: Permanent delivery failures (invalid email address)
  • Formula: (Number of bounced emails ÷ Number of sent emails) × 100
  • Healthy rate: Under 2%
• Unsubscribe Rate: Percentage of recipients who opted out
  • Formula: (Number of unsubscribes ÷ Number of delivered emails) × 100
  • Healthy rate: Under 0.5% per campaign
  • What it indicates: Content relevance, sending frequency issues
• Spam Complaint Rate: Percentage of recipients who marked as spam
  • Formula: (Number of spam complaints ÷ Number of delivered emails) × 100
  • Critical threshold: Keep under 0.1% to maintain good sender reputation
• List Growth Rate: How quickly your subscriber list is growing
  • Formula: [(New subscribers - Unsubscribes) ÷ Total subscribers] × 100
  • What it indicates: Overall health of your email marketing program

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Campaign Analytics

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Accessing Campaign Reports

1. Navigate to Campaigns in the sidebar
2. Find the campaign you want to analyze
3. Click on its name to open the campaign overview
4. View the campaign dashboard for high-level metrics
5. Click on specific metrics to see detailed breakdowns

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Overview Dashboard

The main campaign report provides a quick snapshot of performance:

• Sent: Total number of emails sent
• Delivered: Number of emails successfully delivered
• Opens: Total and unique opens
• Clicks: Total and unique clicks
• Bounces: Soft and hard bounces
• Unsubscribes: Number of recipients who opted out
• Spam Complaints: Number of recipients who marked as spam
• Social Media Shares: Shares through social sharing buttons

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Click Map Analysis

Visualize where subscribers are clicking in your emails:

1. From the campaign report, select the Click Map tab
2. View a visual representation of your email with click data
3. Identify which links and content elements received the most clicks
4. Use color coding to quickly assess high vs. low-performing elements
5. Click on specific links to see exact click counts and percentages

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Subscriber Activity

Analyze individual subscriber engagement:

1. From the campaign report, select the Activity tab
2. View a list of subscribers who received the campaign
3. Filter by action type (opened, clicked, bounced, etc.)
4. See timestamps for each subscriber action
5. Export this data for further analysis or follow-up

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Time and Date Analysis

Understand when subscribers engage with your emails:

1. From the campaign report, select the Time tab
2. View graphs showing opens and clicks by:
   • Hour of day
   • Day of week
   • Date range
3. Identify peak engagement times for future campaign scheduling
4. Compare to your sending time to optimize delivery schedules

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Device and Client Analysis

See what devices and email clients your subscribers use:

1. From the campaign report, select the Devices tab
2. View breakdown of:
   • Device types (desktop, mobile, tablet)
   • Email clients (Gmail, Outlook, Apple Mail, etc.)
   • Operating systems
3. Use this data to optimize your email design for prevalent devices

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Location Data

Track geographic distribution of your audience:

1. From the campaign report, select the Locations tab
2. View interactive map showing subscriber locations
3. See country, region, and city-level data
4. Use this information for targeted campaigns or regional content

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Automation Workflow Analytics

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Accessing Automation Reports

1. Navigate to Automation in the sidebar
2. Select the workflow you want to analyze
3. View the workflow dashboard for performance metrics
4. Click on individual emails within the workflow for detailed stats

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Workflow Performance Metrics

Measure the effectiveness of your automation sequences:

• Active Subscribers: Number of subscribers currently in the workflow
• Completed: Subscribers who finished the entire workflow
• Conversion Rate: Percentage who completed desired actions
• Step-by-Step Performance: How subscribers progress through your workflow
• Drop-off Points: Where subscribers exit your workflow

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Individual Email Performance

Analyze each email within an automation workflow:

1. Click on a specific email step in your workflow
2. View standard email metrics (opens, clicks, bounces)
3. Compare performance against other emails in the sequence
4. Identify underperforming emails for optimization

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Subscriber Analytics

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Subscriber Growth

Track how your list is growing over time:

1. Go to Subscribers in the sidebar
2. View the subscriber dashboard
3. See growth charts showing:
   • Total subscribers over time
   • New subscribers vs. unsubscribes
   • Net list growth
   • Sources of new subscribers

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Subscriber Engagement

Measure how actively subscribers engage with your emails:

1. Go to Subscribers > Engagement
2. View engagement levels:
   • Highly engaged (regularly open and click)
   • Moderately engaged (sometimes open)
   • Rarely engaged (seldom open)
   • Disengaged (haven’t opened in months)
3. Use this data for segmentation and re-engagement campaigns

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Subscriber Sources

Identify where your subscribers are coming from:

1. Navigate to Subscribers > Sources
2. View breakdown of signup sources:
   • Embedded forms
   • Pop-up forms
   • Landing pages
   • Manual imports
   • API integrations
3. Determine which acquisition methods are most effective

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Advanced Analytics

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Custom Reports

Create tailored reports for specific needs:

1. Go to Analytics > Custom Reports
2. Click Create Report
3. Select report type:
   • Campaign performance
   • Subscriber activity
   • List growth
   • Engagement trends
4. Choose metrics to include
5. Set date range
6. Select format (table, chart, or both)
7. Save report for future use

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Comparative Analysis

Compare performance across campaigns:

1. Go to Analytics > Campaign Comparison
2. Select multiple campaigns to compare
3. Choose metrics for comparison
4. View side-by-side analysis
5. Identify trends and patterns across campaigns
6. Export comparison data for presentations

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Conversion Tracking

Measure campaign impact on website conversions:

1. Set up conversion tracking in Analytics > Conversion Tracking
2. Add tracking code to your website
3. Define conversion goals:
   • Purchases
   • Form submissions
   • Page visits
   • Custom events
4. View campaign-attributed conversions in reports
5. Calculate ROI and conversion value

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A/B Test Results

Analyze the outcomes of your split tests:

1. Access A/B test campaign reports
2. View clear winner identification
3. See detailed comparison of variant performance
4. Understand statistical significance of results
5. Apply insights to future campaigns

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Reporting Tools

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Scheduled Reports

Set up automatic report delivery:

1. Go to Analytics > Scheduled Reports
2. Click Create Scheduled Report
3. Select report type and content
4. Choose frequency (daily, weekly, monthly)
5. Add recipients (team members, stakeholders)
6. Set delivery time
7. Enable/disable report as needed

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Exporting Data

Export analytics for external analysis:

1. From any report view, click Export
2. Choose format:
   • CSV (spreadsheet-compatible)
   • PDF (presentation-ready)
   • Excel (for detailed analysis)
3. Select data range and metrics to include
4. Use exported data with your business intelligence tools

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Email Client Testing

Preview and test emails across different clients:

1. Go to Analytics > Email Testing
2. Select the campaign to test
3. Choose which email clients to test (Gmail, Outlook, etc.)
4. View screenshots of your email in each client
5. Identify rendering issues before sending

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API Access

Access analytics data programmatically (for developers):

1. Go to Integrations > API
2. Generate API keys
3. Use the RESTful API to:
   • Pull campaign statistics
   • Access subscriber data
   • Generate custom reports
   • Integrate with your own dashboards

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Interpreting Your Data

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Benchmarking Your Results

Compare your performance against industry standards:

1. View industry benchmarks within reports
2. Compare your metrics against:
   • Industry averages
   • Your historical performance
   • Similar campaign types
3. Set realistic goals based on benchmarks

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Identifying Trends

Spot patterns in your email marketing performance:

1. Look for trends across multiple campaigns
2. Analyze seasonal variations
3. Track metrics over time for:
   • Open rates
   • Click-through rates
   • Conversion rates
   • List growth
4. Identify factors that influence performance

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Actionable Insights

Turn data into actionable strategies:

• Low Open Rates: Experiment with subject lines, sender names, or sending times
• High Bounces: Clean your list and verify email addresses
• Low Click Rates: Improve content relevance or call-to-action design
• High Unsubscribes: Review content quality and sending frequency
• Location Insights: Create geographically targeted campaigns
• Device Data: Optimize design for predominantly used devices

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Analytics Best Practices

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Setting Up Goals

Establish clear objectives for your analytics:

1. Define specific, measurable goals:
   • Increase open rate by X%
   • Achieve Y% click-through rate
   • Generate Z conversions per campaign
2. Align email metrics with broader business objectives
3. Create a reporting schedule to track progress
4. Adjust goals based on performance data

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Data-Driven Decision Making

Use analytics to guide your email strategy:

• Test one variable at a time to identify impact
• Make incremental changes based on data
• Document what works and what doesn’t
• Create hypothesis-test-analyze cycles
• Share insights across your team

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Regular Performance Reviews

Establish a process for reviewing analytics:

1. Schedule weekly or monthly analytics reviews
2. Compare performance against goals
3. Identify successes and areas for improvement
4. Develop action plans based on findings
5. Track the impact of changes over time

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Common Analytics Mistakes to Avoid

Prevent these common errors in analyzing your data:

• Vanity Metrics: Focusing on numbers that look good but don’t indicate actual success
• Ignoring Trends: Missing the bigger picture by fixating on individual campaign results
• Analysis Paralysis: Collecting data without taking action
• Misinterpreting Statistics: Drawing incorrect conclusions from data
• Not Testing: Making changes without proper A/B testing
• Neglecting Segmentation: Looking at aggregate data without segment-level insights

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Troubleshooting Analytics Issues

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Missing or Incomplete Data

If your analytics appear incomplete:

1. Check tracking pixel implementation
2. Verify if image blocking might be affecting open rates
3. Ensure click tracking is properly enabled
4. Confirm integration connections are working
5. Check for filtering issues in your views

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Discrepancies Between Reports

If you notice inconsistencies between reports:

1. Verify date ranges match exactly
2. Check if filters are applied consistently
3. Understand how metrics are calculated in each report
4. Consider time zone differences in reporting
5. Look for data processing delays

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Getting Support

If you need help with analytics:

1. Check the MailGreet Knowledge Base for analytics articles
2. Contact support with specific questions
3. Consider scheduling a session with MailGreet’s customer success team
4. Join community forums to discuss analytics with other users