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.
Target ROAS analyzes and intelligently predicts the value of a potential conversion every time a user searches for products or services that are being advertised. Then it automatically adjusts bids for these searches to maximize return.
Target ROAS determines that if a user’s search is likely to generate a conversion with high value, target ROAS will bid low on that search.
Target ROAS uses historical and uploaded data to set the value of a conversion every time a user searches for products or services that are being advertised. Then it automatically adjusts bids for these ads to maximize return.
Target ROAS determines that if a user’s search is likely to generate a conversion with low value, target ROAS will bid high on that search.