How can A/B split testing improve my campaign's performance?

Our A/B split test feature is one of our offerings that we really hope you'll learn and love, as it's there to help you improve your campaign efforts. A/B split testing helps you figure out which out of two versions of your newsletter is more appealing to (and thus more effective on) your recipients!

Using this feature you can effortlessly check how two different versions of the same campaign fare against your recipients and decide which one is the best one to use. Variations over your subject line, your campaign content, or even the campaign senders can be quickly put to the test.

Not convinced of its usefulness yet? Let's take a look at some simple but practical examples:

  1. If you're having a hard time deciding between two subject lines for your newsletter campaign, just use the A/B split test campaign type and send the same campaign with a different subject line. Set your winning criteria so that Moosend checks which subject line attracted more attention. Remember that changing your subject line slightly, using clever punctuation or icons, can boost your open rate significantly. Give it a try!

  2. Similarly, it's a good idea to try the A/B split testing campaign type when you want to check different HTML content dissimilar messages or images, and see which one has the best performance. The winning campaign is the one that gets your message out more effectively!

  3. Have you ever wondered whether it's better if you set your campaign sender as a specific person instead of your company name? Use A/B split testing and let your recipients decide!

Out of the total number of recipients in your list you define the percentage which belongs to the people who will act as a "test group". The actual recipients are randomly picked up by Moosend, and based on their reaction to your campaign variations the best campaign is selected and is dispatched to the rest of your list! That way the most successful version gets sent out to the majority of your list.

Make sure you get to know more about how you can create an A/B split testing campaign.