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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 audience and email type.

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Available Metrics

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Core Email Metrics

MetricDescription
SentTotal number of emails successfully sent
DeliveredEmails that reached the recipient’s inbox
OpensNumber of times emails were opened
Unique OpensNumber of unique subscribers who opened
ClicksTotal link clicks across all emails
Unique ClicksNumber of unique subscribers who clicked
UnsubscribesSubscribers who unsubscribed via email link
BouncesEmails that failed to deliver
ComplaintsSpam complaints received

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Revenue Metrics

If you have goals configured with tracked value, the Metrics page can show attributed revenue in the overview. Revenue appears only when Sequenzy has attributed tracked value for the selected time period, audience, and email type.

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Calculated Rates

RateFormulaWhat It Tells You
Open RateUnique Opens / Delivered × 100Email subject line effectiveness
Click RateUnique Clicks / Delivered × 100Content engagement
Click-to-OpenUnique Clicks / Unique Opens × 100Content relevance to engaged readers
Unsubscribe RateUnsubscribes / Delivered × 100Subscriber satisfaction
Bounce RateBounces / Sent × 100List quality

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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.

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Email Types

TypeDescription
TransactionalOne-off emails triggered by user actions (receipts, etc.)
CampaignsBroadcast emails sent to a segment or list
SequencesAutomated emails from workflows

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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.

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Filtering by Audience

You can scope dashboard metrics to the audience you want to analyze:
Audience filterUse it to analyze
All subscribersOverall workspace performance
Subscriber listsPerformance for a specific imported or signup list
Saved segmentsPerformance for subscribers matching your segment rules
Audience filters can be combined with date range and email type filters. For example, you can review campaign performance for a newsletter list over the last 30 days, or sequence engagement for a saved trial-user segment over the last 7 days.

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Viewing Metrics

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Dashboard Overview

Your dashboard shows high-level metrics across all emails or your selected audience and email type:
  • Total emails sent (last 30 days)
  • Overall open and click rates
  • Trend charts showing performance over time
  • Quick comparison to previous period
  • Attributed revenue when revenue-driving goals have tracked value

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Ask From The Dashboard

The dashboard landing page also includes an expandable AI workspace for quick metric checks.
  • Ask questions like What are my metrics for last 30d?
  • Ask review-style prompts like Tell me what happened last week
  • Ask scoped performance prompts like Show my top performing sequence or What is my best campaign?
  • Sequenzy fetches a live company-level snapshot and shows the latest sends, deliveries, open rate, and click rate
  • For sequence and campaign performance questions, Sequenzy can point to the specific sequence or campaign instead of only showing the company aggregate
  • You can keep asking follow-up questions from the floating chat, so prompts like Why did opens dip? or What should I improve next? keep the earlier context
  • You can jump from that summary straight into the full Metrics page if you want charts and deeper filters

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Detailed Analytics

In the Metrics section, you can:
  1. Select date range: View metrics for any time period
  2. Filter by audience: Scope metrics to all subscribers, a list, or a saved segment
  3. Group by email type: Filter to see all emails, transactional emails, campaigns, or sequences
  4. View trends: See how metrics change over time
  5. Export data: Download metrics for further analysis

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Understanding Your Metrics

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Open Rates

Open RateInterpretation
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.

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Click Rates

Click RateInterpretation
5%+Excellent engagement
2-5%Good - content resonates
1-2%Average
<1%Low - review content and CTAs

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Bounce Rates

Bounce RateInterpretation
<2%Healthy list
2-5%Needs attention - clean your list
>5%Critical - high risk of deliverability issues

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Unsubscribe Rates

Unsubscribe RateInterpretation
<0.5%Healthy
0.5-1%Monitor closely
>1%Review frequency and content relevance

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Using Metrics for Optimization

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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

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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

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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

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4. Reduce Unsubscribes

High unsubscribe rates indicate:
  • Email frequency too high
  • Content not matching expectations
  • Wrong audience targeting

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5. Clean Your List

High bounce rates hurt deliverability:
  • Remove hard bounces automatically
  • Re-engage inactive subscribers
  • Use double opt-in for new signups

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Metrics by Email Type Examples

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Transactional Metrics

Best for tracking:
  • Delivery success for critical emails
  • Whether users are receiving receipts/confirmations
  • Any deliverability issues with transactional sends

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Campaign Metrics

Best for tracking:
  • Subject line performance
  • Content engagement
  • Audience growth and retention
  • A/B test results

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Sequence Metrics

Best for tracking:
  • Automation effectiveness
  • Conversion through the funnel
  • Drop-off points in sequences
  • Which emails drive the most action

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Best Practices

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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

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2. Benchmark Against Yourself

Industry benchmarks vary widely. Track your own metrics over time to establish your baseline, then work to improve it.

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3. Segment Your Analysis

Don’t just look at aggregate numbers. Break down by:
  • Email type (transactional, campaigns, sequences)
  • Subscriber lists
  • Saved subscriber segments
  • Individual campaigns or sequences

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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

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Common Queries via API

You can fetch metrics programmatically using the Analytics API. Below are common questions mapped to the right API call.

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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.

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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.

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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.

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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.

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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.

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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