DripEmail.org

📊 Understanding Email Analytics

Track and analyze your campaign performance

⏱️ 14 min read

Why Analytics Matter

Data-driven decisions lead to better email marketing results. Understanding your analytics helps you improve every campaign.

💡 Pro Tip: Focus on trends over time rather than individual campaign metrics. Look for patterns to guide strategy.

Key Metrics Explained

Open Rate

Percentage of recipients who opened your email. Average: 15-25%

Formula: (Emails Opened ÷ Emails Delivered) × 100

Click-Through Rate (CTR)

Percentage who clicked a link. Average: 2-5%

Formula: (Unique Clicks ÷ Emails Delivered) × 100

Click-to-Open Rate (CTOR)

Of those who opened, how many clicked. Average: 10-15%

Formula: (Unique Clicks ÷ Unique Opens) × 100

Bounce Rate

Percentage that couldn't be delivered. Target: <2%

Hard bounces = invalid email | Soft bounces = temporary issues

Unsubscribe Rate

Percentage who opted out. Target: <0.5%

Formula: (Unsubscribes ÷ Emails Delivered) × 100

Accessing Analytics

  1. Go to Campaigns → Sent
  2. Click on any campaign name
  3. View the analytics dashboard
  4. Scroll down for detailed engagement data
  5. Click tabs to see opens, clicks, and geographical data

What Each Metric Tells You

  • Low open rate: Subject line needs work or send time is off
  • High opens, low clicks: Content or CTA isn't compelling
  • High bounce rate: List needs cleaning
  • High unsubscribe rate: Content irrelevant or sending too frequently
  • Good CTOR: Your email content resonates with opened

Click Maps

See which links got the most clicks:

  • Visual heatmap shows popular links
  • Identifies what content interests your audience
  • Helps optimize link placement in future emails
  • Shows if CTA buttons outperform text links

Geographical Data

See where your subscribers are located:

  • Map view of opens by country/city
  • Optimize send times for time zones
  • Identify growth opportunities in regions
  • Localize content for major markets

⚠️ Important: Open rates may be inflated due to email clients pre-loading images. Focus on click rates for more accurate engagement.

Device and Client Data

Understand how subscribers read your emails:

  • Mobile vs. Desktop: Optimize for primary device
  • Email clients: Gmail, Outlook, Apple Mail, etc.
  • Browser data: For web-based email readers
  • Operating systems: iOS, Android, Windows, Mac

Time-Based Analytics

When do people engage with your emails?

  • Opens by hour: Find optimal send times
  • Clicks by day: Best days for engagement
  • First 24 hours: Most activity happens here
  • Long tail: Some opens continue for days/weeks

Engagement Scoring

Track individual subscriber engagement:

  • Highly engaged: Opens and clicks frequently
  • Moderately engaged: Opens occasionally
  • Low engagement: Rarely opens
  • Inactive: No activity in 90+ days

Comparing Campaigns

  1. Go to Analytics → Campaign Comparison
  2. Select 2 or more campaigns to compare
  3. View side-by-side performance metrics
  4. Identify what worked better in each
  5. Apply learnings to future campaigns

Best Practices

  • Check analytics 24 hours, 3 days, and 7 days after sending
  • Set benchmarks based on your past performance
  • Don't compare across different industries
  • Focus on improving your own metrics over time
  • Use data to inform, not dictate, creative decisions
  • Track which segments perform best
  • Monitor trends monthly and quarterly

Next Steps