Which bidding strategy is commonly used for AI-Powered Shopping Ads?

The chosen answer, Target CPA (Cost Per Acquisition), is commonly used for AI-Powered Shopping Ads because it aligns well with the goals of these advertising strategies, which are highly focused on optimizing conversions. Target CPA allows advertisers to establish a specific cost they are willing to pay for each conversion. This goal-oriented approach is particularly effective for AI, as it enables machine learning algorithms to analyze large datasets, optimize bids based on historical performance, and adjust them in real time to maximize the number of conversions while staying within the specified cost per acquisition.

Using Target CPA is advantageous because it encourages the algorithm to find the ideal balance between budget and performance, ensuring that ad expenses are efficiently managed. The AI can leverage signals such as user behavior, device, location, and time of day to dynamically adjust bids in a way that manual strategies could not achieve, leading to potentially higher conversion rates and better overall campaign outcomes. This makes Target CPA a strategic choice for advertisers looking to maximize the effectiveness of their AI-Powered Shopping Ads.