What's an important benefit of opting into automatically applied recommendations?

Question: What's an important benefit of opting into automatically applied recommendations?

  • Marketers select which recommendations are applied across an entire account or manager account, ensuring best practices are applied to all campaigns.
  • AI decides which recommendations to apply automatically to campaigns, without any need for human input.
  • Recommendations are based on the past week of data to react to the current market and avoid optimizations based on old data or settings.
  • Applying recommendations automatically will increase a campaign's budget or reallocate budget between campaigns when necessary to improve performance.

or

  • Applying recommendations automatically will increase a campaign's budget or reallocate budget between campaigns when necessary to improve performance.
  • Recommendations are based on the past week of data to react to the current market and avoid optimisations based on old data or settings.
  • Marketers select which recommendations are applied across an entire account or manager account, ensuring that best practices are applied to all campaigns.
  • AI decides which recommendations to apply automatically to campaigns, without any need for human input.

Explanation

Automatically applied recommendations let advertisers choose specific optimization types that can be applied without manual review each time. This helps keep accounts aligned with Google Ads best practices at scale. The advertiser controls which recommendation categories are enabled, so automation remains tied to approved optimization areas. This is useful across large accounts or manager accounts where repeated manual implementation can slow performance improvements.

Why the other options are incorrect

Past week of data is too narrow because recommendations are generated from multiple account and performance signals.

Budget increases are not automatically made unless the advertiser enables eligible budget-related recommendation types.

AI-only decisions is incorrect because advertisers choose which recommendation types are eligible for automatic application.

Source for verification

https://support.google.com/google-ads/answer/10279006

https://support.google.com/google-ads/answer/2471182

The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "Google Ads AI-Powered Performance Ads Assessment" page.

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