In which way can marketers predict the impact of applying recommendations on their optimization score?

The settings of comparable campaigns are cross-referenced with higher optimization scores.

Google AI is used to forecast how conversions will be increased as a result of recommendations.

Trusted, third-party tools are leveraged to analyze and optimize campaigns.

Every recommendation shows how it affects optimization score as a percentage.


Choose an option to see if it’s correct. Check the explanation below. Learn Smarter, not Harder.

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Explanation: In which way can marketers predict the impact of applying recommendations on their optimization score?


Explanation: The correct answer is **'Every recommendation shows how it affects optimization score as a percentage.'** Google Ads provides marketers with a comprehensive set of recommendations to optimize their campaigns continuously. Each recommendation comes with an estimation of how applying it would impact the campaign's optimization score, usually presented as a percentage increase or decrease. This feature allows marketers to predict the potential improvement in their optimization score by implementing the suggested changes. By considering the impact of each recommendation on the optimization score, marketers can prioritize the most impactful optimizations and tailor their strategies to achieve higher performance levels. This method enables marketers to make data-driven decisions and focus on the optimizations that yield the most significant improvements in campaign effectiveness and efficiency.
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