What is required to effectively run with goal optimized settings? Choose two answers.

Goal-optimized settings, like Smart Bidding strategies, rely on machine learning to achieve conversion goals. For these systems to learn and optimize effectively, they need sufficient data. "Significant conversion data" provides the necessary historical performance for the algorithms to identify patterns and make informed bidding decisions. Without enough conversions, the system cannot learn efficiently, leading to suboptimal performance. Similarly, "a certain number of users added to a remarketing list" is crucial if the optimization involves remarketing audiences. The system needs a sizable audience pool to target and optimize bids for, especially if the goal is to re-engage past visitors. A global site tag on the landing page only is insufficient; it needs to be across the entire website to track user behavior comprehensively for effective optimization and remarketing list building.