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.

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

Open and click metrics exclude detected email-security scanners, link-preview clients, and tracked brand assets by default. Turn on “Include bots” in the dashboard, or pass includeMachineEngagement=true to analytics API endpoints, when you need raw scanner-inclusive counts for debugging. If your audience sits behind aggressive email-security appliances (common with cold outreach and B2B lists), you can enable Strict bot filtering in Settings -> Tracking. It additionally filters opens and clicks from datacenter IPs, scripted HTTP clients, and single IPs sweeping links across many recipients. It is off by default because it can also discard some real engagement, which lowers your reported open and click rates. Test sends are excluded from dashboard and API performance metrics, attributed revenue, recipient engagement, subscriber timelines, and sent-email history by default so previews do not skew results. They still count toward send usage and quota. The same “Include bots” toggle is available when you drill into a metric’s recipient list and on a subscriber’s activity timeline. When bots are shown, automated opens and clicks are marked with a bot icon and their detected source (for example an email-security scanner or link-preview bot) so you can tell them apart from real engagement.

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.

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.

Filtering by Audience

You can scope dashboard metrics to the audience you want to analyze:

Audience filter	Use it to analyze
All subscribers	Overall workspace performance
Subscriber lists	Performance for a specific imported or signup list
Saved segments	Performance 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.

Viewing Metrics

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

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

Detailed Analytics

In the Metrics section, you can:

Select date range: View metrics for any time period
Filter by audience: Scope metrics to all subscribers, a list, or a saved segment
Group by email type: Filter to see all emails, transactional emails, campaigns, or sequences
View trends: See how metrics change over time. Click any Overview metric (Emails sent, Deliverability, Open rate, Click rate, Unsub rate, Reply rate, or Revenue) to add or remove its line from the trend chart and compare several at once - Emails sent and Open rate are shown by default, and Revenue uses its own currency axis
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

Delivery Failures vs Bounces

These look similar in a list of sends, but they mean opposite things and only one of them is about your list. A bounce is the receiving provider telling us the mailbox is bad. The address is suppressed so you stop sending to it, and it counts toward your bounce rate. A delivery failure means every delivery route we had for that message was exhausted without the provider ever judging the mailbox. It shows as “Delivery failed” with the note “The recipient provider rejected all currently available delivery routes.” Nothing about the address is in question, so:

the contact stays subscribed and is included in your next send;
it does not count toward your bounce rate;
it does not count toward the automatic sending pause that protects your sender reputation;
webhooks receive email.failed, not email.bounced.

You cannot fix a delivery failure by cleaning your list, because the address is not the problem. A cluster of them means the sending path had a temporary problem, which we monitor and resolve on our side.

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 lists
Saved 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

​Metrics & Analytics

​Available Metrics

​Core Email Metrics

​Revenue Metrics

​Calculated Rates

​Grouping by Email Type

​Email Types

​Why Group by Type?

​Filtering by Audience

​Viewing Metrics

​Dashboard Overview

​Ask From The Dashboard

​Detailed Analytics

​Understanding Your Metrics

​Open Rates

​Click Rates

​Bounce Rates

​Delivery Failures vs Bounces

​Unsubscribe Rates

​Using Metrics for Optimization

​1. A/B Test Subject Lines

​2. Optimize Send Times

​3. Improve Click-Through

​4. Reduce Unsubscribes

​5. Clean Your List

​Metrics by Email Type Examples

​Transactional Metrics

​Campaign Metrics

​Sequence Metrics

​Best Practices

​1. Review Metrics Regularly

​2. Benchmark Against Yourself

​3. Segment Your Analysis

​4. Act on Insights

​Common Queries via API

​How many emails did we send in the last 7 days?

​What’s the open rate for a specific campaign?

​Which step in my sequence has the highest drop-off?

​Who opened or clicked my campaign?

​Did a specific user engage with any of my emails?

​How do I sync engagement data to my database on a schedule?

​Related

Tracking

Campaigns

Sequences

Transactional Emails

Metrics & Analytics

Available Metrics

Core Email Metrics

Revenue Metrics

Calculated Rates

Grouping by Email Type

Email Types

Why Group by Type?

Filtering by Audience

Viewing Metrics

Dashboard Overview

Ask From The Dashboard

Detailed Analytics

Understanding Your Metrics

Open Rates

Click Rates

Bounce Rates

Delivery Failures vs Bounces

Unsubscribe Rates

Using Metrics for Optimization

1. A/B Test Subject Lines

2. Optimize Send Times

3. Improve Click-Through

4. Reduce Unsubscribes

5. Clean Your List

Metrics by Email Type Examples

Transactional Metrics

Campaign Metrics

Sequence Metrics

Best Practices

1. Review Metrics Regularly

2. Benchmark Against Yourself

3. Segment Your Analysis

4. Act on Insights

Common Queries via API

How many emails did we send in the last 7 days?

What’s the open rate for a specific campaign?

Which step in my sequence has the highest drop-off?

Who opened or clicked my campaign?

Did a specific user engage with any of my emails?

How do I sync engagement data to my database on a schedule?

Related