- 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.
If an ad campaign is optimized by Google’s AI, what’s happening?