Machine learning automates much of a Google App campaign once it’s live. What’s one reason why marketers should still be involved in the campaign after it’s launched?

While Google App campaigns leverage machine learning for optimization, the overarching marketing strategy can evolve. Marketers must remain involved to adjust campaign boundaries, such as target audiences, geographic locations, or budget allocations, to align with these shifting strategic goals. This ensures the automated system continues to work effectively towards the current business objectives. Incorrect options: Reviewing search term and segmentation reports for manual adjustments is less relevant as App campaigns don't use keywords and have limited manual segmentation options; machine learning handles much of this. While marketers should monitor for issues, the primary reason for ongoing involvement extends beyond just troubleshooting notifications. App campaigns do not request human input via questionnaires to steer marketing objectives; objectives are set by the marketer.