Janelle is running a Google App campaign and knows that although it’s powered by machine learning, her inputs as a marketer still matter a lot. In which three ways can Janelle best guide the machine towards a successful outcome? (Choose three)

Google App campaigns leverage machine learning, but marketer input is crucial for optimal performance. Providing the system with abundant data and time allows the algorithms to learn and optimize effectively. Strategic bids and budgets guide the machine towards desired outcomes by defining spending limits and value. Evolving campaign strategy over time, based on performance insights, ensures the campaign remains relevant and efficient as market conditions or business goals change. Daily bid adjustments are generally not recommended for machine-learning-driven campaigns, as frequent changes can disrupt the learning process. Location targeting is typically set at the campaign level, not the ad group level, for App campaigns.