Achieve the best possible success
There are many ways to optimize your newsletters for your audience. One important element is the newsletter A/B split testing.
Achieve the best possible success
There are many ways to optimize your newsletters for your audience. One important element is the newsletter A/B split testing.
With newsletter A/B split testing, you can easily compare various newsletter performances side by side. If you have several e-mails with different content being sent at the same time, you can find out which newsletter performs better with your customers. You can easily achieve better performance based on open and click rate – true to the motto: “The higher; the better!”
Using the A/B split testing for your newsletters, you can set many different parameters depending what you are trying to figure out. This can be small changes such as the color of a call-to-action or simply the subject line. This can also be more concise factors or multiple simultaneously for example e-mail context or the use of images within the newsletter. Your mailing can be sent to your entire list or to just a portion of your recipients.
Optimizing your landing page is most important when aiming to increase your conversion rate via the A/B split test. Of course, all aspects mentioned above have influence on your conversion rate as well.
If you want to improve the open rate of your newsletter, you should not focus on the context of your mailing. The subject line is of greater importance, along with sender name (from), or even when (what time) you sent the newsletter.
You have thought about your metrics but you don’t know how to get started in order to improve them? mailflatrate will help:
The A/B split test is a valuable function to determine what is most effective and works best with your subscribers. For this purpose, you will create a test scenario and evaluate the corresponding progress. One variation could be that you divide 10% of your list into two groups and each group receives differing newsletters with a pre-determined variable. The mail with the better results will sequentially be sent to the remaining 90% of your subscriber base.
This is how you can always create the best campaigns and increase your open and click rate in the long run. Through our API, you can combine the A/B split testing with Google Analytics or simply use mailflatrate to evaluate.
The following parameters can be optimized through A/B split testing:
Determine the goals you wish to achieve
Stipulate the goal of your test to later determine success versus failure of your mailing efforts. Only a portion of your list will receive the test newsletter. If you wish to increase the click rate, for example, you should change the call-to-action in regards to color and position.
Creating newsletter variations
In the next step, you should contemplate which variable will allow you to reach your goal. Determine adjustments and how they should be implemented to achieve the best possible comparisons. Based on your objective, determine which parameter to test for, such as subject lines, call-to-actions, or the sender’s name and then compare the results to each other.
Create a test list
Create a test list with about 10% from your overall subscriber base and let them be the random sample for your A/B newsletter split test. At the end, compare the newsletter data and decide, based on your set goals, which performed better among your subscribers. This way, you can guarantee that the best version of your newsletter is being sent to the majority of your audience.
