• Blog
  • Measuring to improve: Email Marketing metrics
Paola Bergamini
18 May 2021
Reading time: 10 min.

Measuring to improve: Email Marketing metrics

All you need to know about email channel KPIs: definitions, formulas, and best practices. Learn how to measure, boost email campaign results, and create data-driven strategies.

“If you can’t measure it, you can’t improve it.” 

Peter Drucker, Founder of Modern Management, expresses a fundamental concept here. It also happens to be the essence of the new MailUp ebook dedicated to Email Marketing metrics: learning to measure means understanding where to intervene to improve your results. 

Compared to other channels, email has the great advantage of being perfectly traceable in every aspectEmail Marketing metrics are divided into:

  • on-mail kpi, focusing on the user’s interaction with the message itself, and
  • off-mail kpi, which measures everything that originates in emails but happens elsewhere.

Analyzing these metrics, monitoring them constantly, and understanding the elements that influence them means no more “off-the-cuff” decisions. You will identify the decisive corrective actions to improve performance.

We’ve explored the entire set of email channel metrics to provide you with an exhaustive insight into definitions, formulas, and best practices on the world of measurement.

Activate now the free trial to discover MailUp's potential.

From developing integrations to strategic support, from creating creative concepts to optimizing results.

Delivery rate

Out of the total number of messages sent, this indicates how many actually reach the recipient’s mailbox. The formula to calculate is: (Emails delivered / emails sent) * 100

What influences it?

  • database quality
  • reputation and recognizability on behalf of the sender
  • email size

Actions to improve it

Open rate

This indicates the number of emails opened compared to the total number of emails sent. We speak of the opening rate or Open Rate when it comes to the number of total openings. On the other hand, the rate of unique openings or Unique Open Rate is when unique readers are taken into consideration: these are recipients who have opened the email at least once.

The formula to calculate is: (Number of openings / Emails delivered) * 100

What influences it?

  • Sender
  • Subject and preheader

Actions to improve it

  • Write a specific and relevant subject and avoid any spammy veneer
  • Make the preheader complementary to the subject
preheader complementare 2 1000x47 1
emoji oggetto 2 768x35 1

MailUp has tons of new emoji sets for your email subject line: discover this and other news on the BEE editor.

Click-through rate

The click-through rate, also known as CTR, is the number of clicks on links contained in a sent email, divided by the number of emails delivered. 

The formula to calculate is: (Clicks / Emails delivered) * 100

Added to the CTR is the click-through rate on unique openings. This is also called the click-to-open rate (CTOR), which measures the number of unique clicks versus the number of unique openings.

The formula to calculate is: (Unique Clicks / Unique Openings) * 100

What influences it?

  • Structure
  • Images
  • Call to action

Actions to improve it

mobile landing page posizione 02 1000x508 1
  • Attract the click in a creative way, making unique and original emails like this one from Adestra
shake it happy holidays to all our subscribers 625x1024 1

Engagement rate

The Engagement Rate indicates the degree of users’ engagement with the emails they receive.

Two different levels can be considered when measuring Email Marketing engagement:

– the individual campaign, taking into account and analyzing the main on-mail metrics like sends, deliveries, opens, clicks, unsubscriptions, and spam reports

– the strategy, examining the campaign progress statistics and recipient interest over a given period of time to understand how healthy the database is

What influences it?

  • Message relevance
  • Database quality
  • Deliverability

Actions to improve it

  • Segment your database based on engagement
  • Adopt a re-engagement strategy
you got this 673x1024 1

Bounce rate

The bounce rate indicates the percentage of email addresses that returned an error following a submission.

The formula to calculate is: (Emails returned / Emails sent) * 100.

What influences it?

  • Contact collection
  • Contact manager

Actions to improve it

  • Keep your database clean
  • Don’t buy or rent “prepackaged” databases

Unsubscription rate

Also known as the Unsubscribe Rate, this is the number of unsubscribed users. It’s a value that is key in tracking to ensure that it’s always less than the number of new subscribers and that it remains low (below 2%).

The formula to calculate is: (Unsubscribed users / Emails sent) * 100.

What influences it?

  • Relevance of content
  • Send frequencies
  • Sending times

Actions to improve it

Conversion rate

Also known as CR, the conversion rate is the percentage of recipients who clicked on the link in the email and completed the desired action, such as filling out a form or purchasing a product.

The formula to calculate is: (Users who completed the action / Emails delivered) * 100

What influences it?

  • Delivery capacity
  • Timeliness of flows
  • Effective landing pages

Actions to improve it

  • Adopt the system of double opt-in
  • Automate flows
  • Create optimized landing pages

Return on investment

Also known as ROI, the return on investment is the metric favorite of marketers. This is because it accurately measures the economic effectiveness of campaigns and offers values to compare the effectiveness and profitability of the email with other digital marketing channels.

The formula to calculate is: [(Value of sales from an email campaign – Campaign costs) / Campaign costs] * 100

What influences it?

  • Delivery capacity
  • Timeliness of flows
  • Effective landing pages

Actions to improve it

In summary

Breaking down your email campaigns through the aforementioned metrics let you optimize every single aspect of the message. Take a cue from our recommendations and start improving the elements that directly impact each metric.

Share this article

Paola Bergamini

I was born in 1993 in Como and I escaped from this little town to study in Milan, where I graduated in 2017 in philosophy. I've always been interested in marketing and communication and I love writing and reading. As Content Editor at MailUp, I try to keep up to date with Email and Digital Marketing news, in order to share trends, theories and tools about this constantly evolving sector.

    Subscribe to our newsletter