Suppose the previous experiment shows that, in some contexts, users are more likely to convert when shown an ad that leads to an in-app Shop rather than an external website. Now design a ranking algorithm for Meta ads that can **intelligently uprank Shop ads** without hurting user experience or advertiser objectives. Discuss: - What the ranking objective should be. - What features and labels you would use. - Whether you would use a heuristic boost, a learned ranking model, or a multi-objective system. - How you would handle heterogeneous advertiser goals, such as direct online conversion versus offline foot traffic. - How you would evaluate the algorithm offline and online. - What risks, fairness issues, and cold-start problems you would watch for.