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Here is the answer of the question: When creating a campaign experiment, which is a best practice?
- Choose two or three metrics that can be used to reliably gauge campaign performance and determine the winner of a particular test.
- After the end of an experiment, assess performance over a period of time that includes ramp-up.
- Isolate one variable to focus on for each test and use different tests when assessing the impact of more than one change.
- As a means of expediting experiments, new ads aren’t subject to the same approval process during time of the experiments.
The above question is related to “Google Ads AI-Powered Performance Ads Assessment“. You can find all the updated questions and answers related to to “Google Ads AI-Powered Performance Ads Assessment” on the “Google Ads AI-Powered Performance Ads Assessment Answers” page. If you find the update in question or answers, do comment on this page and let us know. We will update the answers as soon as possible.
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