By now you should have a broad understanding of the tools available in Adobe Target, as well as the activities that help you manage visitors and collect and analyze data. No matter what your test scenario may be, Adobe Target provides the foundation to enable you to get your activity up and running in no time.
- What is the difference between an A/B/n activity and a landing page activity?
- What is the native MVT activity approach available in Adobe Target?
- What happens to a visitor when you have two activities with the same priority on the same page?
- How many success events are you limited to in an activity?
- The main difference between an A/B/n activity and a landing page activity is that visitors can switch experiences of a landing page activity, whereas visitors in an A/B/n activity stick to their initial test variation or experience for the life of the activity.
- Adobe Target can support full factorial and partial factorial (Taguchi) approaches, but the partial factorial, or Taguchi, method is native to the software.
- If two or more activities have the same priorities, the visitor would qualify for the activity that was updated most recently. The date and time are the secondary metrics used to determine participation after activity priority.
- There is no limit to the number of success events in a given activity. However, you should not have too many because this leads to analysis paralysis, where the results are too granular to offer any statistically relevant findings. You should only include the most important top key performance indicators as success events.