App campaigns rely on creative rotation powered by machine learning to choose the right creative for the right inventory, the right user, and the right moment. How should you approach assets to achieve strong results?

Use diverse creatives in content, theme, length, and orientation.

Upload fewer creatives than previous app campaigns.

Provide identical videos cut to different lengths.

Provide identical videos with minor differences.


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

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Explanation: App campaigns rely on creative rotation powered by machine learning to choose the right creative for the right inventory, the right user, and the right moment. How should you approach assets to achieve strong results?


Explanation: The correct answer is **'Use diverse creatives in content, theme, length, and orientation.'** App campaigns rely on machine learning algorithms to optimize creative rotation and deliver the most relevant and engaging ads to users. By utilizing diverse creatives in terms of content, theme, length, and orientation, advertisers can provide the machine learning system with a wide range of options to choose from. This approach enables the system to experiment and identify which creative elements resonate best with different audiences, contexts, and user behaviors. By offering a variety of creatives, advertisers increase the likelihood of capturing users' attention and driving meaningful interactions, ultimately leading to stronger campaign performance and better results. Additionally, diverse creatives allow for more comprehensive testing and optimization, enabling advertisers to refine their strategies based on real-time insights and data-driven decision-making. Therefore, leveraging diverse creatives is crucial for achieving strong results in app campaigns by maximizing the effectiveness of creative rotation and machine learning capabilities.
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