Test your email content with A/B test

What is the A/B test?

A / B testing (also known as split testing or bucket testing) is a method of comparing emails, advertisements web pages, or two groups to each other to determine which one performs better. AB testing is essentially a randomized experiment of one or two or more variants, and analysis is used to see which variation performs better for a particular conversion goal. For cold emailing, we have two emails with small differences to compare the result of the conversion.

How do we do the A/B test on cold emailing?

There are three steps for the A/B test on cold emailing.

Choose one element or a piece of copy and prepare two alternate versions: A and B.

You wouldn’t want your emails in the spam folder. You need to focus on who you send emails to and how. The key is creating personalized email content. We get lots of emails in a day so do our target leads. It’s important to customize each email and tailor it to the specific person you’re reaching out to. You can create two different personalized email content with small changes. You can change the subject or starting sentence.

Create your content and name it as email A content. You can make small changes to that email and create the B email content. What you change about your email is up to you. You need to decide what you want to compare and measure. For example, you create two same email content but you change one sentence and that sentence is about, let’s say price. Therefore, you can compare which email will receive more replies than the other one.

Split your leads into halves

Make two groups for your A/B email. Let’s say, you have 1000 leads. You can send email A to half of the leads, and email B to other half of the leads.

Compare the Results

Cold emailing is a long process. You can set up your time goal as 3 months or 6 months. After 3 or 6 months you can check your results to compare the A/B test. You should definitely check:

• The total number of emails that have been opened.
• The total number of emails that have been clicked.
• The total number of emails that have been replied.