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When creating an account structure designed to improve AI-powered solutions’ performance, which is a best practice?

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  • Building campaigns around specified manual optimization levers
  • Segmenting account structure via device and match type with the aim of customizing creative
  • Creating the most campaigns possible in order to reach business goals
  • Focusing account structure on business goals as opposed to channel silos

The correct answer is: Focusing account structure on business goals as opposed to channel silos

Explanation: When designing an account structure to optimize the performance of AI-powered solutions, the best practice is to focus on business goals rather than channel silos. With machine learning, the need for manual segmentation by match type, device, location, or audience is eliminated. By creating an account structure that prioritizes business objectives and simplifies campaigns, the advantages of machine learning can be fully realized. This efficient approach not only increases ROI but also minimizes errors and saves time, allowing advertisers to focus on refining their inputs, optimizations, and decision-making processes.

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