Kevy's A/B testing feature for emails allows you to easily test different subject lines, email content, from name, and from email to help you refine your messaging and optimize your email sends.
Create an A/B Testing Email
Start by going to the 'Send Center' and creating a new email. After you've created the first version of your email, click on 'Save and Exit'.
After the email is saved, you will see a 'More' drop down button. Click on the drop down and choose 'Add Variation'.
Configure A/B Test Content
Go to the ‘Content’ tab and edit the content for each variation. To create additional variations, click the ‘More’ drop down menu for any existing variation and select 'Duplicate Variation.'
When editing the content of a variation, you can change the email content on the 'Design' tab and the subject, from name, from email, and reply-to on the 'Setup' tab. Once you're done editing, click Save and Exit.
Verify the subject line, from email, and from name on the ‘Content’ tab.
Configure A/B Test Settings
After creating your content, you set the recipients of the email, the size of the recipients being tested, and the length of the test.
On the 'Settings' tab, add send and exclusion email list(s).
Also, set the percentage of recipients that will receive the test emails. The 'Summary' section displays the percentage of email that will receive the test emails and the winning email.
Lastly, select how the winner should be chosen. The winner will be automatically chosen by Open Rate, Click Rate, or Revenue after a set testing period.
Review and Send A/B Test
On the 'Confirm' tab, you see all the details for your email and if any changes are required before the email can be sent. Once you're ready, you can click on 'Send now' or 'Schedule' the email.
Here are a few examples of how you can use A/B testing:
- Test multiple subject lines for every email to understand whether customers like short or long subjects, with / without dynamic content, with / without emojis 😀.
- Offer different discounts (10%, 20%, no offer) in different variations to see how discounts drive increased conversions.
- Test whether plain-text or image-heavy HTML emails perform better in terms of click-through rates and conversions.