Three A/B Testing Examples You Can Copy Today

In the age of digital marketing, where every click and interaction matter, it's essential to find effective ways to convert those clicks into loyal customers. 

A/B Testing is a skill that separates professionals from beginners.

If you are in a management position looking to hire an expert email marketer, A/B testing usage will let you know who is good and who is not.

Knowing how to use A/B testing will differentiate you from the crowd if you are an email marketer. 

In this article, we will explore what A/B testing is, its psychology, and how you can implement A/B testing to achieve greater success in your campaigns.

What Is A/B Testing?

A/B testing is the art of Kaizen in email marketing, which means continuous improvement of your campaigns.

A/B testing, also known as split testing, is a method that helps businesses compare two different versions of a webpage, email, or any digital content to determine which one performs better.

Jeff Bezos has repeatedly mentioned that one of the main things that help Amazon succeed is the number of experiments they do to determine what works better.

The more experiments you perform, the more you know what works better for your audience. Instead of putting all of your changes in a subject line, you can A/B test with two subject lines and see which works better. 

A/B testing in email marketing is a method of conducting controlled experiments with email campaigns to determine which version of an email is more effective in achieving specific goals, such as higher open rates, click-through rates, conversions, or other key performance metrics.

It involves sending two or more variations of an email to different segments of your email list and measuring the performance of each version to determine which one produces better results.

Siroker's book, A / B Testing: The Most Powerful Way to Turn Clicks Into Customers, emphasizes the significance of testing to maximize conversions and engagement.

The process Siroker advocates typically involves the following steps:

Hypothesis: Start by forming an idea about a specific element of your email campaign that you want to test. This hypothesis could be anything from the subject line, email content, call-to-action buttons, images, or the sending time.

It is better to test only one variable to determine what is making the difference with better precision.

Splitting the Audience: Divide your email list into equal segments. One segment (the control group) receives your email's existing or current version. 

In contrast, the other part (the experimental group) receives the modified versions with the changes you want to test.

Testing and Monitoring: Sending the email variations to their respective segments is just the beginning. 

Keep a close eye on key performance metrics, such as open rates, click-through rates, and conversion rates. Use email marketing software or tools to track these metrics.

Data Analysis: After the test, analyze the data and compare the performance of each email version. Determine which one achieved the desired outcome more effectively.

Based on the data, draw conclusions about which version of the email was more successful in meeting your goals. 

Implementing the Winning Version: Once you've identified the winning version, use it as the default for your email campaign.

This winning version represents the changes that have proven to be more effective in achieving your goals.

A/B testing is an invaluable tool for email marketers to make data-driven decisions and continuously improve the effectiveness of their email campaigns. 

In order to understand your audience's preferences and behaviors better, you can leverage A/B testing to refine your email content and strategy.

Over time, A/B testing can lead to improved engagement, higher conversion rates, and a more successful email marketing campaign. 

Crafting Effective Subject Lines

One of the most critical elements of an email marketing campaign is the subject line. 

A compelling subject line can significantly impact whether recipients open an email or relegate it to the spam folder. Siroker's book advises businesses to conduct A/B testing on subject lines to determine which ones generate higher open rates.

Imagine you are running a sports newsletter. You are ready to send your new article about last night's game, but you want to test what triggers your audience more. 

Here is a variation of the subject lines you can use to determine your audience preferences:

Test A: "Breaking: Last Night's Highlights You Can't Miss Out On!"

Test B: "Top Ten Moments of Last Night's Game"

In this A/B test, you can compare which subject line generates higher open rates and engagement among your email subscribers. 

Test A employs a sense of urgency and curiosity with "Breaking" and "Can’t Miss Out," Also, it is longer.

Test B focuses on providing valuable by offering quick information.  

Testing these two variations lets you learn more about your audience's preferences and which subject line style is more effective for your sports news emails.

For instance, you can test two subject lines – one that is concise and the other more descriptive. 

Send each version to a segmented portion of your email list and measure the open rates. You can use at least four subject line types to drive engagement. If you need more ideas, check out this article about the best subject lines you can use.

Over time, you'll identify patterns and preferences among your audience that can inform future email subject line choices. 

This data-driven approach ensures that you are using the most compelling subject lines to capture your readers' attention.

Optimizing Email Content

Siroker's book underscores the importance of content optimization to drive conversions. The book discusses how to refine elements such as images, headlines, and call-to-action buttons on a webpage. This same concept applies to email marketing.

Consider conducting A/B tests on email content elements, such as the body text, images, or the placement of the call-to-action button. 

Imagine you're the owner of a clothing brand newsletter. You want to implement A/B testing to increase sales and learn what engages your audience more. 

Your next article will introduce a new season of clothing, and you want to know what will bring more revenue. 

Test A: You attach images of individual clothing items.

Test B: You attach images of two pieces of clothing that match.

This change is the sole modification; everything else in the article and the description remains unaltered in both tests. 

After some days, you can test variations to see which ones drive higher click-through rates, conversions, and sales. 

You can increase the chances of turning clicks into customers by continually refining your email content.

Personalization and Segmentation

Siroker highlights the significance of personalization in A/B testing to cater to individual preferences. 

In email marketing, personalization can make all the difference. Segmentation allows you to target different groups of subscribers with content tailored to their specific interests and needs.

Test A:

This email version is a standard email sent to the entire email list. It includes general product recommendations that are not personalized. 

Since we are testing personalization, the subject line is generic, such as "Whey Protein Back in Stock!"

Test B:

In this version, the email is segmented into two different customer segments (Men and Women). Each segment receives personalized product recommendations based on their gender.

The subject lines are personalized to each segment, for example: "Whey Protein for Men Back in Stock!" "Whey Protein for Women Back in Stock!"

Again, testing is just the beginning. You need to compare and analyze the metrics you want to improve.

Using A/B testing to experiment with different email content for specific segments is one of the best ways to increase engagement and success in your campaigns. 

For instance, you can test whether personalized product recommendations increase click-through rates and conversions among one segment while another might respond better to time-sensitive promotions.

By optimizing content for each segment, you're more likely to turn clicks into satisfied customers.

Create Your First A/B Test Today!

By conducting A/B tests on email subject lines, content, personalization, timing, and mobile optimization, email marketers can refine their strategies to turn clicks into loyal customers. 

Email marketing is a dynamic field, and adopting a data-driven approach inspired by A/B testing principles can make a significant impact on your campaign's success.

With beehiiv, you can create and measure different A/B tests to implement in your email marketing campaigns.

Unlock the full potential of your digital marketing strategy today.

Start your A/B test now!