Email Marketing Metrics Overview

This page explains what each email metric means and defines essential terms, so you can better analyze your performance and ask smarter questions.

The basics—sends, opens, and clicks—are right there in your email dashboards. But when you’re ready to dig deeper into things like bounce rates or spam complaints, that’s where Brew’s Ask AI feature comes in handy.

What’s on This Page

Navigate to the section that interests you most:

Core Engagement Metrics

Deliverability Metrics

Strategic Insights

Reference

Core Engagement Metrics

Open Rate

Open rate shows the percentage of delivered emails that were opened by recipients.

Open Rate=Number of unique opensNumber of emails delivered×100Open\ Rate = \frac{Number\ of\ unique\ opens}{Number\ of\ emails\ delivered} \times 100

This metric reflects how compelling your subject line and sender name are. It’s your first indicator of audience engagement.

How Open Rates Are Tracked

When you send an email through Brew, here’s exactly how opens are measured:

  1. Tracking Pixel Insertion: A 1×1 pixel transparent GIF image is automatically embedded in each email you send. This invisible pixel contains a unique identifier linked to both the specific email and the recipient.
  2. Email Delivery: Your email is delivered to the recipient’s inbox with this tracking pixel included.
  3. Image Loading: When a recipient opens your email and their email client loads images, it requests this pixel from Brew’s servers.
  4. Open Registration: This server request registers as an “open” in Brew’s analytics system, recording who opened the email and when it happened.
  5. Data Processing: Brew consolidates this data to calculate your open rate, filtering out duplicate opens from the same user to provide unique open metrics.

Use Brew’s Ask AI feature to ask questions about your open rate performance, such as: “What subject line patterns have led to the highest open rates for my newsletter?”

Click-Through Rate (CTR)

Click-through rate (CTR) is the percentage of delivered emails that resulted in recipients clicking a link within the email.

CTR=Number of unique clicksNumber of emails delivered×100CTR = \frac{Number\ of\ unique\ clicks}{Number\ of\ emails\ delivered} \times 100

CTR reflects how engaging and relevant your email content is, and how effective your calls-to-action are at driving action.

How Clicks Are Tracked

Brew tracks clicks through a process called link rewriting:

  1. Link Modification: When you create an email, Brew automatically rewrites all links to route through our tracking servers before redirecting to the final destination.
  2. Unique Identifiers: Each rewritten link contains parameters that identify both the email campaign and the specific recipient.
  3. Click Registration: When a recipient clicks any link, they first connect to Brew’s tracking system, which records the click event along with relevant data (which link, which recipient, timestamp).
  4. Instant Redirect: After registering the click, the recipient is immediately redirected to the intended destination URL. This happens so quickly that recipients don’t notice any delay.
  5. Reporting: Brew aggregates this click data to calculate metrics like CTR and identifies which specific links received the most engagement.

Use Brew’s Ask AI feature to explore your click rate data with questions like: “Which types of links get the most clicks in my emails?” or “What content sections drive the most engagement?”

Open Tracking and Deliverability

Important consideration: While open tracking provides valuable insights, it can impact where your emails land in recipients’ inboxes.

How tracking affects deliverability:

  • Promotional signals: Tracking pixels are commonly used by marketers and spammers, so inbox providers may flag emails with tracking as promotional content
  • Spam detection: Some email providers use the presence of tracking pixels as one factor in spam filtering algorithms
  • Transactional email impact: For transactional emails (receipts, confirmations, password resets), tracking pixels can reduce inbox placement since these should appear more “system-generated”

Brew’s approach:

  • Smart tracking: Brew automatically optimizes tracking implementation to minimize deliverability impact
  • Automatic optimization: Brew handles tracking decisions behind the scenes, balancing insights with inbox placement
  • Focus on actionable metrics: Since tracking is automatic, focus your analysis on click tracking and business metrics that drive real outcomes

Pro tip: For critical transactional emails, prioritize inbox placement over open rate tracking. You can still measure success through completion of the intended action (password reset, account verification, etc.).

Conversion Rate

Conversion rate measures the percentage of recipients who completed your desired action after receiving your email.

Conversion Rate=Number of people who completed the desired actionNumber of emails delivered×100Conversion\ Rate = \frac{Number\ of\ people\ who\ completed\ the\ desired\ action}{Number\ of\ emails\ delivered} \times 100

Deliverability Metrics

Poor email performance metrics can impact your deliverability and account status. To protect your email reputation and comply with email regulations, Brew monitors your performance and may temporarily suspend your account if you exceed these thresholds:

  • Spam complaint rate above 0.08% (less than 1 complaint per 1,000 emails sent)
  • Bounce rate above 2% (20 bounces per 1,000 emails sent)

These safeguards ensure all Brew users maintain good sending practices and protect the deliverability of the entire platform.

Bounce Rate

Bounce rate measures the percentage of emails that could not be delivered.

Bounce Rate=Number of bounced emailsNumber of emails sent×100Bounce\ Rate = \frac{Number\ of\ bounced\ emails}{Number\ of\ emails\ sent} \times 100

How Bounces Are Tracked

Brew tracks bounces through automated feedback from email servers:

  1. Delivery Attempt: When your email is sent, it goes through multiple servers before reaching its destination.
  2. Bounce Detection: If a receiving mail server cannot deliver the message, it sends back an automated response (an SMTP error) with a specific reason code.
  3. Classification: Brew’s system automatically categorizes these bounce responses into hard bounces (permanent failures) or soft bounces (temporary issues) based on the error codes and message.
  4. Recording: The bounce is logged in your campaign metrics along with the specific reason for the failure.
  5. Automated Handling: For hard bounces, Brew automatically suppresses the email address to prevent future sending attempts, protecting your sender reputation.

There are two important types of bounces:

Hard Bounces

Permanent failures due to invalid addresses or blocked domains

Soft Bounces

Temporary issues like full mailboxes or server problems

Keep your bounce rate under 2%. This is the threshold at which Brew may temporarily suspend your account to protect your domain reputation and the deliverability of the platform.

Spam Complaint Rate

The spam complaint rate is the percentage of delivered emails that recipients marked as “Spam” or “Junk”.

Spam Complaint Rate=Number of spam complaintsNumber of emails delivered×100Spam\ Complaint\ Rate = \frac{Number\ of\ spam\ complaints}{Number\ of\ emails\ delivered} \times 100

How Spam Complaints Are Tracked

Spam complaints are tracked through a standardized system called Feedback Loops (FBLs):

  1. Recipient Action: A recipient clicks the “Mark as Spam” or “Report Spam” button in their email client.
  2. ESP Notification: The receiving email service provider (like Gmail, Yahoo, or Outlook) captures this action and sends a standardized report through a Feedback Loop.
  3. Complaint Processing: Brew receives these FBL reports and associates them with the specific email campaign and recipient.
  4. Automatic Suppression: The complainant’s email address is automatically added to a suppression list to prevent any future emails from being sent to them.
  5. Metric Calculation: Brew aggregates these complaints to calculate your spam complaint rate and provides alerts if rates approach concerning thresholds.

Aim to keep your spam complaint rate below 0.08%. This is the threshold at which Brew may temporarily suspend your account to protect your sender reputation and the deliverability of the platform.

Additional deliverability insights: Monitor your sender reputation regularly to ensure optimal deliverability. While Brew tracks essential metrics automatically, you can gain deeper insights into how different email providers view your sending reputation by using specialized reputation monitoring tools.

Boost your deliverability with self-engagement: Send a test email to yourself, open it, and reply to it. This simple action signals to email providers that your content is valuable and engaging, which can positively impact your sender reputation and improve inbox placement.

Unsubscribe Rate

Unsubscribe rate measures the percentage of recipients who opted out of future emails.

Unsubscribe Rate=Number of unsubscribesNumber of emails delivered×100Unsubscribe\ Rate = \frac{Number\ of\ unsubscribes}{Number\ of\ emails\ delivered} \times 100

How Unsubscribes Are Tracked

Brew tracks unsubscribes through an intuitive preference management system:

  1. Unsubscribe Link: Every email sent through Brew includes a legally-required unsubscribe link, typically in the footer. This link contains a unique identifier for the recipient.

  2. Preference Center: When a recipient clicks this link, they’re taken to your branded Preference Center rather than being immediately unsubscribed. Here they can see all your subscription groups with descriptions.

  3. Granular Control: Instead of a single “unsubscribe from everything” option, recipients can use toggle switches to choose which specific content types they want to continue receiving. This reduces total unsubscribes by letting contacts opt out of only the content they don’t want.

  4. Immediate Processing: When a recipient updates their preferences, Brew instantly records these changes and updates their status in your audience.

  5. List Suppression: The system automatically ensures this contact will no longer receive emails from the unsubscribed groups, while still allowing them to receive content from groups they remain subscribed to.

Most email experts consider an unsubscribe rate below 0.5% to be normal.

Brew automatically handles the entire unsubscribe process for you. Unsubscribed contacts are skipped when sending campaigns and automations, but they will still receive transactional emails (like password resets and order confirmations) since these contain essential information. This behavior ensures compliance with CAN-SPAM regulations, which distinguish between marketing and transactional communications.

Learn about the Preference Center

Customize how subscribers manage their email preferences with your branding

Learn about Subscription Groups

Create content categories that give subscribers more control over what they receive

Focus on Business Impact

While engagement metrics like opens and clicks provide valuable insights, the most important question is whether your emails drive meaningful business results.

Move beyond vanity metrics:

  • Revenue attribution: Track how much revenue can be attributed to specific email campaigns
  • Goal completion: Monitor actions that matter to your business (free trial signups, demo bookings, feature adoption)
  • Customer lifecycle: Measure how email marketing influences customer retention, upgrades, or referrals
  • Time to action: Track how quickly recipients take desired actions after receiving emails

Practical approaches:

  • UTM parameters: Add tracking codes to email links to monitor website behavior and conversions in your analytics platform
  • Event tracking: Set up tracking for specific actions like downloads, form submissions, or account activations
  • Revenue tracking: Connect email campaigns to sales data to understand ROI
  • Cohort analysis: Compare the behavior of engaged email subscribers vs. non-subscribers

Start with one business metric: Pick the most important business outcome for your emails (signups, purchases, feature adoption) and track that consistently before adding complexity.

Advanced Metrics Analysis

While basic metrics are visible in your email dashboards, more complex analysis can be performed using Brew’s AI analytics features:

For comprehensive guidance on using these features, see our Ask AI documentation.

Email Marketing Terms

Essential terms to understand when analyzing your email performance with Brew:

Need Help?

Our team is ready to support you at every step of your journey with Brew. Choose the option that works best for you:

Search Documentation

Type in the “Ask any question” search bar at the top left to instantly find relevant documentation pages.

AI Assistant Chat

Click the sparkle ✨ icon next to the “Ask any question” search bar in the top left to chat with our AI assistant that’s been trained on our entire documentation.

ChatGPT/Claude Integration

Click “Open in ChatGPT” at the top right of any page to analyze documentation with ChatGPT or Claude for deeper insights.