Which action is recommended after assessing performance of a Search campaign?

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Multiple Choice

Which action is recommended after assessing performance of a Search campaign?

Explanation:
Letting machine learning handle bidding after you’ve reviewed performance is the idea. Turning on automated bidding lets the system adjust bids in real time to reach your chosen goal—whether that’s more conversions, a target cost per conversion, or higher conversion value—by using your conversion data and auction signals. This approach often improves efficiency once you have enough conversion data and a clear objective, so make sure conversion tracking is accurate before enabling it. After turning it on, monitor results and adjust targets or budgets as needed. The other actions don’t directly optimize performance with data-driven bidding: simply raising budgets can waste spend, pausing stops learning, and creating many separate campaigns for each keyword isn’t how you scale or optimize effectively.

Letting machine learning handle bidding after you’ve reviewed performance is the idea. Turning on automated bidding lets the system adjust bids in real time to reach your chosen goal—whether that’s more conversions, a target cost per conversion, or higher conversion value—by using your conversion data and auction signals. This approach often improves efficiency once you have enough conversion data and a clear objective, so make sure conversion tracking is accurate before enabling it. After turning it on, monitor results and adjust targets or budgets as needed. The other actions don’t directly optimize performance with data-driven bidding: simply raising budgets can waste spend, pausing stops learning, and creating many separate campaigns for each keyword isn’t how you scale or optimize effectively.

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