Here’s how you can compare email campaigns – cluster your reports based on different segments:
The powerful newsletter software by Newsletter2Go enables you to group your contacts according to detailed identifying traits, which helps you create campaigns that are tailored to various contact groups. The question is: how do you compare the success of your email campaigns based on these traits? The answer is simple: you could compare these campaigns thanks to multivariate clustering.
Newsletter2Go empowers you to compare differentiated target groups against one another with multivariate newsletter tracking. If you would like to you can, for example, compare different age, gender, or customer history target groups against one another to see which group performs better. Multivariate clustering makes for successful email marketing – after all, you can then create better newsletter campaigns to make sure that one of the less performing groups receives more tailored messages from you. You could also choose to run a re-engagement campaign. Remember that converting lapsed readers into engaged subscribers is cheaper than customer acquisition. With multivariate newsletter tracking you will make sure that the re-engagement campaign reaches only those who need an extra nudge.
The detailed reports by our newsletter tool show you which contact groups performed best and showcased the highest open or click rate. You can also compare different groups against each another, and see which content was most appreciated by certain groups. For example, did women like one product better than men? Did older customers open the newsletter more often than younger?
Multivariate clustering gives you an idea in which direction you should go. Once you’ve identified the best performing groups, make sure you save them into a new group so that you can pamper them a bit from time to time and show that their engagement is appreciated. After all, these people are prone to share your newsletters. As far as the less performing contacts are concerned, they should be also saved as a different group. Then, you might want to run multivariate A/B tests to ensure your subject line is captivating for a specific target group. Compare email campaigns to deeply analyze your email campaigns, and use the data-driven insights to power your next campaign.