How does machine learning in Google App campaigns benefit both marketers and users?

Machine learning in Google App campaigns optimizes ad delivery by analyzing vast amounts of data to understand user behavior and preferences. This allows the system to identify the most relevant ad creative for a specific user and serve it at the optimal moment, maximizing the likelihood of engagement and conversion. This benefits marketers by improving campaign efficiency and ROI, and users by providing them with ads that are genuinely interesting and useful, rather than disruptive. Delivering a different ad to every user is not scalable or efficient. Limiting ads to YouTube ignores other valuable placements. Delivering ads to as many users as possible in one location is a broad approach that lacks the precision of machine learning.