Last Updated on 2 weeks by School4Seo Team
Machine learning in Google App campaigns benefit both marketers and users by delivering a relevant ad to the right user at the right time.
- By delivering a different ad to every user.
- By delivering relevant ads to users only on YouTube.
- By delivering ads to as many users as possible in one location.
- By delivering a relevant ad to the right user at the right time.
The correct answer is: By delivering a relevant ad to the right user at the right time.
Explanation: Google App campaigns leverage machine learning to deliver a relevant ad to the right user at the right time. 1 For marketers, this means automated optimization, targeting, and bidding, maximizing campaign performance and reducing manual effort. 2 Machine learning analyzes vast amounts of data to identify user behavior patterns and preferences, ensuring ads are shown to those most likely to engage. 3 For users, this translates to a more personalized and relevant ad experience, showing them apps that align with their interests. 1 By optimizing for user relevance, machine learning enhances the effectiveness of app campaigns, benefiting both marketers and users through increased engagement and conversions
In a world where users have limited attention, effectively marketing an app depends on using data and systems to deliver the right message to the right user at the right time.