Tina's an experienced account manager who enjoys overseeing the details of her Google Ads campaigns. She struggles with leaving the majority of campaign management to machine learning in App campaigns. What's a valid reason for Tina to rely on machine learning instead of doing everything manually?

Machine learning in Google App campaigns automates many aspects of campaign management, such as bidding, targeting, and ad serving. This automation significantly reduces the manual effort and time Tina would otherwise spend on these tasks, freeing her to focus on higher-level strategic planning, creative development, or other client needs. While machine learning can assist with creative optimization by testing different variations, it doesn't design the creatives itself. Being promoted quickly isn't a direct, guaranteed benefit of using machine learning; rather, it's a potential outcome of improved efficiency and performance. Machine learning can identify new, high-performing audiences, and while it might incorporate past successful audience data, it's not limited to using only previously identified audiences.