A/B testing: always send the best version of your newsletter

Ensure your message hits the mark. With A/B testing, you automatically test two variants of your newsletter on a small segment of your list.

The system determines a winner and sends it to the remaining recipients. A simple way to achieve higher engagement and reduce manual work.

Why should you A/B test your emails?

Even small changes can lead to clear results. It can be something as simple as a different sender name, alternative phrasing in the subject line, or a tweak to the CTA button. Over time, these improvements can drive more conversions, more leads, and a better ROI.

In short: A/B testing helps you understand what your recipients respond to, allowing you to optimize accordingly.

How to succeed with A/B testing

It is easy to generate many ideas for tests. The challenge is making them useful in practice.

Here are three simple principles for better results:

Formulate a hypothesis
Before you test, decide what you think will perform better and why.
Example: “A more specific CTA will generate more clicks.”

This makes the results easier to interpret and provides better insights.

Test one variable at a time
If you change the subject line, design, and CTA all at once, you will not know what actually influenced the result.

Make only one change per A/B test.

Apply your insights
The goal of A/B testing is not just to pick a winner, but to learn. Use your findings to improve the next send, and gradually build knowledge about what works for your target audience.

Start simple

A/B testing does not need to be complicated. Start with one element, one hypothesis, and one test. Over time, you will build a foundation of data that makes your email strategy both more reliable and more effective.

And perhaps most importantly: you no longer have to guess.