How can marketers predict the impact of applying recommendations on their optimization score?

Leverage trusted, third-party tools to analyze and optimize their campaigns.

Use Google AI to forecast the increase in conversions as a result of recommendations.

Cross reference the settings of comparable campaigns with higher optimization scores.

Each recommendation shows its impact on the 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: How can marketers predict the impact of applying recommendations on their optimization score?


Explanation: The correct answer is that each recommendation shows its impact on the optimization score as a percentage. Google Ads provides a suite of optimization recommendations designed to enhance campaign performance and achieve better results. These recommendations cover various aspects such as ad copy, bidding strategies, targeting settings, and more. When considering which recommendations to implement, marketers can assess the potential impact on their campaign's optimization score. The optimization score is a metric that indicates how well a campaign is optimized based on Google's best practices and algorithms. By reviewing the impact of each recommendation as a percentage, marketers can prioritize the most impactful changes to improve their campaign's overall performance. This approach allows marketers to make informed decisions about which optimizations to implement, ensuring that they focus on the most effective strategies to maximize their campaign's success.
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