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
Grouping helps you compare apples to apples and identify issues specific to each email 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 periodGroup by email type : Filter to see only transactional, campaigns, or sequencesView trends : See how metrics change over timeExport 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
Common Queries via API You can fetch metrics programmatically using the Analytics API . Below are common questions mapped to the right API call.
How many emails did we send in the last 7 days? curl "https://api.sequenzy.com/api/v1/metrics?period=7d" \ -H "Authorization: Bearer YOUR_API_KEY"
Check stats.sent in the response.
What’s the open rate for a specific campaign? curl "https://api.sequenzy.com/api/v1/metrics/campaigns/{campaignId}" \ -H "Authorization: Bearer YOUR_API_KEY"
Check stats.openRate in the response.
Which step in my sequence has the highest drop-off? curl "https://api.sequenzy.com/api/v1/metrics/sequences/{sequenceId}" \ -H "Authorization: Bearer YOUR_API_KEY"
Compare steps[].stats.sent across steps — a large drop between consecutive steps indicates where subscribers disengage.
Who opened or clicked my campaign? curl "https://api.sequenzy.com/api/v1/metrics/recipients?campaignId={campaignId}" \ -H "Authorization: Bearer YOUR_API_KEY"
Each recipient in the response includes opened, clicked, and unsubscribed fields. See Get Recipients .
Did a specific user engage with any of my emails? curl "https://api.sequenzy.com/api/v1/metrics/recipients?email=user@example.com" \ -H "Authorization: Bearer YOUR_API_KEY"
Returns all engagement events for that recipient across campaigns and sequences.
How do I sync engagement data to my database on a schedule? Call /metrics/recipients with a time window matching your cron interval:
# Run daily — fetch yesterday's engagement curl "https://api.sequenzy.com/api/v1/metrics/recipients?period=24h&limit=100" \ -H "Authorization: Bearer YOUR_API_KEY"
Paginate through all results using page and store each recipient’s opened, clicked, and unsubscribed data locally.
Tracking Learn how email engagement is tracked
Campaigns Create and send broadcast campaigns
Sequences Build automated email workflows
Transactional Emails Send triggered transactional emails
