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The Complete Email Marketing Metrics Glossary (50+ Metrics Explained Simply)

The Complete Email Marketing Metrics Glossary (50+ Metrics Explained Simply)

By Email Calculator
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Email marketing generates more measurable data than almost any other marketing channel.

Open rates. CTR. Deliverability. Conversion rate. ROI.

But many marketers face the same challenge:

You see the numbers — but don’t fully understand what they mean.

This guide is designed to be the complete reference glossary of email marketing metrics, explained in plain English.

Bookmark this page.
Come back to it often.
This is your analytics cheat sheet.


Core Metrics Cheat Sheet

If you only track 8 to 12 metrics, start here:

  • Deliverability: Delivery Rate, Inbox Placement Rate, Bounce Rate
  • Engagement: Open Rate, CTR, CTOR, Unique Clicks
  • List Health: List Growth Rate, List Churn Rate, Unsubscribe Rate
  • Revenue: Revenue Per Email, Revenue Per Subscriber, ROI

Use these to spot where performance breaks before drilling into advanced metrics.


A — Email Marketing Metrics

Acquisition Conversion Rate

Percentage of visitors who become subscribers.

Formula:
New Subscribers ÷ Landing Page Visitors × 100

Tip: Test offer clarity and form friction to lift signup rate.


Audience Growth Rate

Measures how quickly your subscriber list grows over time.

Formula:
(New Subscribers − Unsubscribes) ÷ Total Subscribers × 100

Tip: Track by source to invest in the highest-quality acquisition channels.


Average Order Value (Email)

The average purchase value generated from email campaigns.

Formula:
Email Revenue ÷ Email Orders

Tip: Use cross-sell and bundling in email flows to increase AOV.


B — Email Metrics

Bounce Rate

Percentage of emails that failed delivery.

  • Hard bounce: invalid email address
  • Soft bounce: temporary issue

Formula:
Bounces ÷ Sent × 100

Tip: Suppress hard bounces immediately to protect sender reputation.


Block Rate

Percentage of emails rejected by receiving servers.

Formula:
Blocks ÷ Sent × 100

Tip: Authenticate domains and avoid sudden volume spikes.


C — Email Marketing Metrics

Click Rate

Percentage of recipients who clicked at least one link.

Formula:
Unique Clickers ÷ Delivered × 100

Tip: One clear primary CTA usually beats multiple competing links.


Click-Through Rate (CTR)

Measures clicks relative to delivered emails.

CTR (%) = Clicks ÷ Delivered Emails × 100

Shows overall campaign engagement.

👉 Related: How to calculate email click-through rate

Tip: Improve preview text and above-the-fold CTA placement.


Click-to-Open Rate (CTOR)

Measures clicks relative to opens.

CTOR (%) = Clicks ÷ Opens × 100

Evaluates email content quality.

Tip: Align the subject line promise with the primary offer.


Complaint Rate

Percentage of recipients who mark emails as spam.

Formula:
Spam Complaints ÷ Delivered × 100

Tip: Set expectations at signup and send consistently.


Conversion Rate

Percentage of recipients completing a desired action.

Examples:

  • Purchase
  • Signup
  • Download

Formula:
Conversions ÷ Delivered × 100

One of the strongest performance metrics.

👉 Related: Email conversion rate and how to improve it

Tip: Align landing page message with email copy and CTA.


D — Deliverability Metrics

Delivery Rate

Percentage of emails successfully delivered.

Delivery Rate = Delivered ÷ Sent × 100

Tip: Keep lists clean and remove invalid addresses promptly.


Deliverability Rate

Overall success rate of inbox and spam delivery combined.

Formula:
(Inbox + Spam) ÷ Sent × 100

Tip: Monitor drops to catch reputation issues early.


Domain Reputation

Inbox providers score sending domains based on engagement and complaints.

Poor reputation → spam folder placement.

Tip: Warm new domains and avoid sudden volume spikes.


DMARC Alignment Rate

Share of messages that pass DMARC alignment checks.

Formula:
Aligned Messages ÷ Authenticated Messages × 100

Tip: Ensure SPF and DKIM align with your visible From domain.


Spam Placement Rate

Percentage of delivered emails that land in spam.

Formula:
Spam Folder Deliveries ÷ Delivered × 100

Tip: Reduce complaints and increase engagement with better targeting.


E — Engagement Metrics

Email Engagement Rate

Combined measure of opens, clicks, and interactions.

Formula (example):
(Unique Opens + Unique Clicks) ÷ Delivered × 100

Tip: Use a consistent definition in reports to avoid confusion.


Email Read Time

Estimated time recipients spend reading emails.

Directional metric only — clicks matter more.

Tip: Use concise layouts with clear hierarchy to increase read time.


Engagement Decay Rate

How fast engagement declines as subscribers become inactive.

Formula:
Engagement Drop ÷ Time Window

Tip: Trigger re-engagement sequences before decay accelerates.


F — Funnel Metrics

Forward Rate

Percentage of recipients who share or forward emails.

Formula:
Forwards ÷ Delivered × 100

Tip: Add shareable resources and referral prompts.


Funnel Progression Rate

Share of subscribers moving from one funnel stage to the next.

Formula:
Stage Completions ÷ Stage Entrants × 100

Tip: Focus on the biggest stage drop-offs first.


I — Inbox Metrics

Inbox Placement Rate

Percentage of emails reaching the inbox rather than spam.

Formula:
Inbox Deliveries ÷ Delivered × 100

Tip: Keep complaint rate below 0.1% to protect inbox placement.


Inactive Subscriber Rate

Percentage of subscribers who have not opened or clicked recently.

Formula:
Inactive Subscribers ÷ Total Subscribers × 100

Tip: Segment and suppress inactive subscribers to protect reputation.


L — List Health Metrics

List Growth Rate

Tracks net subscriber growth.

Formula:
(New Subscribers − Unsubscribes) ÷ Total Subscribers × 100

Tip: Monitor weekly and monthly trends, not single campaigns.


List Churn Rate

Percentage of subscribers lost over time.

Formula:
(Unsubscribes + Complaints) ÷ Total Subscribers × 100

Tip: Track churn by acquisition source to protect list quality.


List Quality Rate

Share of subscribers who remain engaged over time.

Formula:
Engaged Subscribers ÷ Total Subscribers × 100

Tip: Prioritize quality sources over raw list growth.


O — Open Metrics

Open Rate

Percentage of delivered emails opened.

Open Rate = Opens ÷ Delivered × 100

Privacy protections now make this metric less reliable.

👉 Related: How to calculate email open rate

Tip: Use open rate as directional, not absolute, signal.


Open-to-Click Rate

How many openers convert into clickers.

Formula:
Unique Clickers ÷ Unique Openers × 100

Tip: Tighten copy between headline and CTA to lift this rate.


P — Performance Metrics

Post-Click Conversion Rate

Share of clickers who complete the goal action.

Formula:
Conversions ÷ Unique Clickers × 100

Tip: Optimize the landing page and reduce form fields.


Purchase Rate

Percentage of delivered emails that result in a purchase.

Formula:
Email Orders ÷ Delivered × 100

Tip: Use product relevance and urgency to increase purchase rate.


R — Revenue Metrics

Revenue Per Email (RPE)

Revenue generated for each email sent.

Formula:
Email Revenue ÷ Emails Sent

Tip: Segment by intent to raise revenue without increasing volume.


Revenue Per Recipient (RPR)

Average revenue generated per delivered recipient.

Formula:
Email Revenue ÷ Delivered

Tip: Compare RPR across segments to find high-value audiences.


Revenue Per Subscriber (RPS)

Average revenue generated per subscriber.

Formula:
Email Revenue ÷ Total Subscribers

Tip: Track cohort RPS to understand lifecycle value.


Return on Investment (ROI)

Profit generated compared to email marketing costs.

ROI (%) = (Revenue − Cost) ÷ Cost × 100

👉 Related: Prove email marketing ROI

Tip: Include tooling, creative, and list acquisition costs for accuracy.


S — Subscriber Metrics

Subscriber Lifetime Value

Total revenue expected from a subscriber relationship.

Formula (example):
Average Order Value × Purchase Frequency × Retention Length

Tip: Use LTV to decide how much to spend on list growth.


Spam Complaint Rate

Percentage of recipients marking emails as spam.

Formula:
Spam Complaints ÷ Delivered × 100

Keep below 0.1%.

Tip: Offer preference centers and let subscribers downshift frequency.


Sender Reputation

Overall trust score assigned by inbox providers.

Influences deliverability heavily.

Tip: Sustain engagement and keep complaint rates low.


Subscription Confirmation Rate

Percentage of new signups that confirm double opt-in.

Formula:
Confirmed Subscribers ÷ New Subscribers × 100

Tip: Set clear expectations and use a single-step confirmation page.


T — Timing Metrics

Time to Open

Average time between send and first open.

Formula:
Sum of First Open Times ÷ Unique Opens

Tip: Use this to schedule send times for peak engagement.


Time to Click

Average time between send and first click.

Formula:
Sum of First Click Times ÷ Unique Clickers

Tip: Compare to open time to gauge content relevance.


U — User Behaviour Metrics

Unsubscribe Rate

Percentage of recipients opting out.

Formula:
Unsubscribes ÷ Delivered × 100

Normal and healthy when stable.

Tip: Watch for spikes after content or cadence changes.


Unique Clicks

Counts each subscriber once regardless of multiple clicks.

Preferred for accurate CTR calculation.

Tip: Use unique clicks for performance comparisons across campaigns.


Unique Opens

Counts each recipient once regardless of multiple opens.

Formula:
Unique Opens ÷ Delivered × 100

Tip: Compare with unique clicks to assess content fit.


W — Win-Back Metrics

Win-Back Rate

Percentage of inactive subscribers who re-engage.

Formula:
Reactivated Subscribers ÷ Inactive Subscribers × 100

Tip: Use a short, focused sequence with a clear value reminder.


Why This Glossary Matters

Most marketers optimise emails blindly.

They improve opens without improving revenue.
They chase engagement without measuring outcomes.

Understanding metrics turns email marketing into a predictable growth system.

Instead of guessing, you diagnose.

Instead of sending more emails, you send better ones.


How to Use This Glossary

Use it as a workflow:

  1. Check deliverability metrics first
  2. Analyse engagement metrics second
  3. Review behaviour metrics third
  4. Validate revenue metrics last

This mirrors how high-performing email teams analyse campaigns.


Final Thoughts

Email marketing isn’t complicated.

But analytics becomes powerful when every metric has context.

This glossary exists for one purpose:

Help you understand what your email performance numbers actually mean — and how to improve them.

If you want instant calculations instead of manual formulas, try analysing your campaigns with Email Calculator and turn raw email data into actionable insights.


Related Articles

Frequently Asked Questions

Email marketing metrics are measurable data points that show how your campaigns perform — including delivery, engagement, conversions, and revenue outcomes.

No single metric tells the full story. High-performing teams track deliverability, engagement, behaviour, and revenue metrics together.

Email platforms show dozens of metrics without explanation. A glossary helps marketers understand what each number means and how to improve it.

Most teams focus on 8–12 core metrics, but understanding the wider ecosystem helps diagnose performance problems faster.

Yes. Email Calculator automatically calculates key email marketing metrics and helps analyse performance trends without spreadsheets.

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