- The campaign is using data-driven attribution to automate tasks. The process has all the necessary data.
- The campaign is using basic tasks, then software, to automate those tasks, and the process has all the necessary data.
- The campaign is using rules-based attribution and software to achieve desired AI friendly outcomes to influence the process and avoid optimizing for those outcomes.
- The campaign is using AI and machine learning technology to predict what will achieve the best conversion outcomes to optimize bidding, creative, etc.
The Correct Answer is: The campaign is using AI and machine learning technology to predict what will achieve the best conversion outcomes to optimize bidding, creative, etc.
Explanation: When an ad campaign is optimized by Google’s AI, AI and machine learning technologies are being deployed to predict and enhance conversion outcomes. Google’s AI ingests extensive data about the campaign and customer behavior, identifying patterns and connections in real time. This swift analysis aids in optimizing various elements like bidding and creative aspects, enhancing performance and driving conversions. Campaigns leveraging Google’s AI train machine learning models for achieving business outcomes and shaping the campaign process.