Study first
Review the ideas behind the questions
Review how to test account changes before you treat them as settled decisions. The quiz focuses on experiment planning, recommendations, optimization score, auto-apply settings, and change history.
Make experiments answer one business question
A useful experiment starts with a change the team can judge against a clear goal.
- Experiments are meant to test changes before applying them to the original campaign.
- A clear hypothesis makes the result easier to read and explain.
- Performance Max experiments can test specific campaign changes when the account is eligible.
Review recommendations before applying them
Recommendations and optimization score can point to useful work, but the account goal still matters.
- Optimization score estimates how well the account is set up to perform, not guaranteed future results.
- Recommendations are based on account history, settings, and Google trends.
- A recommendation can be dismissed when it does not fit the campaign or advertising goal.
Keep automated changes visible
Auto-apply can save time, but teams still need control and review.
- Auto-apply settings let teams choose which recommendation types can apply automatically.
- Recommendation changes can be reviewed in recommendation history and Change history.
- Change history helps connect performance shifts to edits made by users, tools, or automated systems.