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If marketing campaigns had existential crisis, they would seek answers to questions like:
Although hypothetical, the questions are pertinent. As marketers, you need to be aware of how your campaigns are performing. Whether the campaigns are actually moving the needle or if there’s something else influencing conversions.
Theoretically, you would want to create a campaign, send it to your user base, measure the performance, then go back in time and choose not to send the same campaign and compare the performance. The difference in the performance between these two scenarios is the real impact of your campaign.
But since this is neither efficient nor doable, the only way to understand the actual impact of your campaign is to isolate users from receiving the campaign using a control group then measure campaign effectiveness by comparing this group with the Target Group that receives your campaigns.
Given the vast difference in behavior of your users, it becomes increasingly important to know the impact of your campaigns across the entire spectrum of your user base.
Consider a promotional campaign for Loyal Customers meant to drive repeat purchases in the holiday season. The initial result of the campaign can lead you to believe that an increase in purchases is due to the campaign. But what if these users were already on the path to purchase?
You can now compare a Control Group’s activity to the Target Group’s activity. Thereby understanding the real impact your campaigns make.
Measuring the real impact of your campaigns also helps in tying marketing dollars spent to dollars earned. You can easily get insights like:
Such impactful insights are incredibly valuable and can be easily derived with CleverTap’s latest feature: Control Groups.
CleverTap allows you to set System Control Group and Custom Control Groups.
Control Groups are sometimes viewed with a healthy skepticism. Some marketers are reluctant to use it at all because it means some users miss out on marketing messages. Unfortunately, they don’t realize that they can always send the campaign to the control group after the test is over.
There’s tremendous upside to using control groups and measuring the actual performance of your marketing campaigns. It is better to test and send the right campaign to some of your user base than to send the wrong one to all at once.
While A/B testing tells you which of two (or more) options you should pick, it doesn’t tell you anything about the scenario if you had not nudged users at all. Through Control Groups, you can find out whether your campaign might perform better or worse than those who did not receive the campaign. In case it’s the latter, Control Groups can tell you if you should refrain from sending the campaign at all and simply let users follow their path naturally.