Create an account today and enjoy Email Calculator Pro for FREE for the next 7 days!

The Complete Email Marketing Metrics Glossary (50+ Metrics Explained Simply)
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:
- Check deliverability metrics first
- Analyse engagement metrics second
- Review behaviour metrics third
- 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.
Get started with Email Calculator
Calculate common email metrics and compare campaign results using your own data.
Start email reporting