I am looking to construct an A/B test with Journey Builder in order to test sending our first welcome message at varying times. Right now it goes out immediately. Ideally, I am looking to use STO "optimal send time" to see if it improves open rates.
Where I need help is in understanding how to remove certain subscribers who are in the step queued for an optimal send time. For example, subscriber A has a status change in CRM while waiting for the optimal send time, and we do not want to send an email to the subscriber anymore.
As a side note, I'm not planning to use the predictive side of STO for this test because a vast majority of these subscribers have never received an email from us.
Thank you for your help.
#send time optimization
Hi @Mark Freestone !
Great to have you on the call today! This is an excellent question. We discussed utilizing decision splits to imitate the A/B test functionality to give you better control over the data versus an actual Path Optimizer functionality. Path Optimizer is restricted because it is only meant to evaluate performance of an email, but if you were to use a decision split for this you would be able to add many more steps (i.e. even more decision splits for individuals who meet particular criteria to exit or continue onwards in the journey).
I don't think there is documentation to specifically address what we discussed, but please let us know if you have any questions!
Thank you!
#MCAskAnExpert
