Control group setup in AJO/AEP

[SorenDP]

Hi Community! 

We are approaching our first use-case in AJO and questions start to come forward regarding how we can measure the effect of our communication. So I was wondering what your experience is with control/target setup in AJO/AEP specifically? 

Today we run a setup, where the cg/target distribution is kept throughout a customers life cycle, to keep it intact and allow us to report back on the total effect of our communication. Not to say we want to keep doing it that way (because it has drawbacks too), but for reference. 

I am thinking that a cg/target setup would be beneficial to set up in AEP as a calculated attribute on profile level, so that it can be used across touchpoints, but what are your experiences? 

Thanks a bunch! 

[adobechat · Accepted solution]

The "Control Group" rule type is unavailable in Adobe Journey Optimizer. In Adobe Journey Optimizer, you can use the "Segmentation" rule type to create a rule that targets customers based on their membership in a segment.

I hope this answers.

[SorenDP]

Thanks, we will look into that  

[JustinNi2]

Hello @SorenDP. I'm about to launch my first two use cases so find myself in the same position as you were two years ago. What was your solution in the end? I have a live streaming journey that relies on an action in an app and a batch journey that uses an audience. I'm very much a beginner with AJO so any tips are much appreciated.

Thanks! 

[SorenDP]

Hi @JustinNi2 

I totally missed this, sorry! 

The option we ended up with was, to do a calculation of 10% control group initially while ingesting the recipient in the system and add that to a person field. Then we aimed to look at this field in all commercial activities and simply split based on it, and end the control group with no communication. 

We aimed to export related datasets externally and analyse the effects based off of that.