Metrics & Analytics
Sequenzy provides comprehensive metrics to help you understand how your emails are performing. View aggregate stats, analyze trends over time, and break down performance by email type.
Available Metrics
Core Email Metrics
| Metric | Description |
|---|
| Sent | Total number of emails successfully sent |
| Delivered | Emails that reached the recipient’s inbox |
| Opens | Number of times emails were opened |
| Unique Opens | Number of unique subscribers who opened |
| Clicks | Total link clicks across all emails |
| Unique Clicks | Number of unique subscribers who clicked |
| Unsubscribes | Subscribers who unsubscribed via email link |
| Bounces | Emails that failed to deliver |
| Complaints | Spam complaints received |
Calculated Rates
| Rate | Formula | What It Tells You |
|---|
| Open Rate | Unique Opens / Delivered × 100 | Email subject line effectiveness |
| Click Rate | Unique Clicks / Delivered × 100 | Content engagement |
| Click-to-Open | Unique Clicks / Unique Opens × 100 | Content relevance to engaged readers |
| Unsubscribe Rate | Unsubscribes / Delivered × 100 | Subscriber satisfaction |
| Bounce Rate | Bounces / Sent × 100 | List quality |
Grouping by Email Type
Sequenzy allows you to filter and group metrics by email type, giving you insights into how different types of emails perform.
Email Types
| Type | Description |
|---|
| Transactional | One-off emails triggered by user actions (receipts, etc.) |
| Campaigns | Broadcast emails sent to a segment or list |
| Sequences | Automated emails from workflows |
Why Group by Type?
Different email types have different benchmarks and purposes:
Transactional emails:
└── High open rates (80%+) - recipients expect them
└── Low unsubscribes - requested by user action
Campaigns:
└── Moderate open rates (20-30%) - promotional content
└── Higher unsubscribes - less personalized
Sequences:
└── Higher engagement - triggered by behavior
└── Variable rates - depends on automation type
Viewing Metrics
Dashboard Overview
Your dashboard shows high-level metrics across all email types:
- Total emails sent (last 30 days)
- Overall open and click rates
- Trend charts showing performance over time
- Quick comparison to previous period
Detailed Analytics
In the Metrics section, you can:
- Select date range: View metrics for any time period
- Group by email type: Filter to see only transactional, campaigns, or sequences
- View trends: See how metrics change over time
- Export data: Download metrics for further analysis
Understanding Your Metrics
Open Rates
| Open Rate | Interpretation |
|---|
| 40%+ | Excellent - highly engaged audience |
| 20-40% | Good - healthy engagement |
| 10-20% | Average - room for improvement |
| Under 10% | Low - review subject lines and list quality |
Open rates can be inflated or deflated due to email client behavior. Apple
Mail Privacy Protection pre-fetches images, inflating rates. Some clients
block images entirely, deflating rates. Focus on trends rather than absolute
numbers.
Click Rates
| Click Rate | Interpretation |
|---|
| 5%+ | Excellent engagement |
| 2-5% | Good - content resonates |
| 1-2% | Average |
| <1% | Low - review content and CTAs |
Bounce Rates
| Bounce Rate | Interpretation |
|---|
| <2% | Healthy list |
| 2-5% | Needs attention - clean your list |
| >5% | Critical - high risk of deliverability issues |
Unsubscribe Rates
| Unsubscribe Rate | Interpretation |
|---|
| <0.5% | Healthy |
| 0.5-1% | Monitor closely |
| >1% | Review frequency and content relevance |
Using Metrics for Optimization
1. A/B Test Subject Lines
Compare open rates between campaigns to identify what resonates:
Campaign A: "Your weekly update" → 18% open rate
Campaign B: "3 tips to boost your sales" → 32% open rate
→ Specific, benefit-driven subject lines perform better
2. Optimize Send Times
Review when your emails get the highest engagement:
- Look at open rates by day of week
- Identify peak engagement hours
- Adjust your send schedule accordingly
3. Improve Click-Through
If opens are high but clicks are low:
- Review your call-to-action placement
- Make buttons more prominent
- Ensure content matches subject line promise
4. Reduce Unsubscribes
High unsubscribe rates indicate:
- Email frequency too high
- Content not matching expectations
- Wrong audience targeting
5. Clean Your List
High bounce rates hurt deliverability:
- Remove hard bounces automatically
- Re-engage inactive subscribers
- Use double opt-in for new signups
Metrics by Email Type Examples
Transactional Metrics
Best for tracking:
- Delivery success for critical emails
- Whether users are receiving receipts/confirmations
- Any deliverability issues with transactional sends
Campaign Metrics
Best for tracking:
- Subject line performance
- Content engagement
- Audience growth and retention
- A/B test results
Sequence Metrics
Best for tracking:
- Automation effectiveness
- Conversion through the funnel
- Drop-off points in sequences
- Which emails drive the most action
Best Practices
1. Review Metrics Regularly
Set a weekly or bi-weekly schedule to review:
- Overall performance trends
- Any sudden drops in engagement
- Bounce and complaint rates
2. Benchmark Against Yourself
Industry benchmarks vary widely. Track your own metrics over time to establish your baseline, then work to improve it.
3. Segment Your Analysis
Don’t just look at aggregate numbers. Break down by:
- Email type (transactional, campaigns, sequences)
- Subscriber segments
- Individual campaigns or sequences
4. Act on Insights
Metrics are only valuable if you use them:
- Low open rates → Test new subject lines
- Low click rates → Improve content and CTAs
- High bounces → Clean your list
- High unsubscribes → Reduce frequency or improve targeting
