Improving your emails with Split testing
Why are some emails opened more often than others? Why do some emails have more referrals than others? Creating high-quality and efficient email marketing campaigns is not as a simple task as it seems at first glance. It is advisable to test email marketing campaigns using a special kind of testing: Split testing (or A/B testing). For example, you have two different versions of your email - email A and email B. You send different emails to different groups of people to determine which one is better. But manual data processing takes a lot of time that leads to extra expenses.
UniSender is a service that allows you to automate the A/B test and reduce the time of results analysis to a minimum. UniSender has the option to choose a free plan for 1 year. You can send up to 1500 emails per month with no more than 100 subscribers.
So let's see how the Split testing works in UniSender. Firstly you need to register. If you choose 1-100 subscribers in registration form, the light (freeware) plan will connect automatically. The next step is creating a design of the email. You can use the templates or you can create your own.
Creating the email:
After creating the first email you should create a copy of it (if the changes are minor), or re-create another email. I've created a copy, because only a one picture has changed. UniSender allows you to do Split testing with not only two, but more emails.
Once created a second email, run a Split test:
In "The winning email" dropdown box you can select a parameter that determines the winner. Usually sets parameter "With maximum click rate". You also need to select a percentage of the list on which you test emails. Each recipient of this part will be sent only the one letter. "Test duration" parameter - after this time will be declared the winner. You can pick a winner without waiting for completion of the process, if it is clear that he obviously wins.
So as a result of the testing you can find out:
• version of the letter with the maximum number of transitions;
• version of the letter with the highest number of open;
• version of the letter with a minimum of formal replies;
• version of the letter with a maximum displacement in the spam folder;
• most profitable layout block letters;
• version of the letter, which provides the highest conversion (user sign in, sign up, subscription,...)