You’re an experienced Google Ads account manager, but you’re struggling with leaving the majority of campaign management to machine learning in Google App campaigns. What are two reasons for you to rely on machine learning instead of doing everything manually? (Choose two)

Machine learning in Google App campaigns automates many optimization tasks, freeing up marketers to focus on strategy and other high-level activities, thus saving significant time and effort. Additionally, machine learning algorithms process vast amounts of data to identify patterns and predict user behavior, providing deeper insights into campaign performance than manual analysis alone. This enhanced data analysis helps marketers understand what's working and why, leading to more effective measurement and optimization. The option about machine learning only allowing uploaded audience lists is incorrect because Google App campaigns leverage various targeting signals beyond just uploaded lists. Machine learning doesn't instruct on creative building; it optimizes creative delivery based on performance.