How do Google App campaigns help both marketers and users? Select the best answer.

Machine learning in Google App campaigns benefits both marketers and users by intelligently serving the most relevant ads to the right audience at the optimal moment.

• 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.

Explanation: Google App campaigns harness the power of machine learning to ensure that the right ad reaches the right user at precisely the right time. For marketers, this means automated optimization across bidding, targeting, and creative selection—maximizing performance while reducing the need for manual intervention. By analyzing large volumes of data, machine learning identifies user behavior patterns and preferences, allowing ads to be shown to those most likely to engage. For users, this results in a more personalized experience, as they encounter app ads that align closely with their interests. In an environment where user attention is limited, successful app marketing depends on using intelligent systems to deliver timely and relevant messaging. By prioritizing relevance, machine learning enhances campaign effectiveness for both marketers and users—driving higher engagement and improved conversions.