What are two ways that a marketer can provide good data to a Google App campaign, powered by machine learning? (Choose two)

Select events done by more than 5% but fewer than 50% of users.

Ensure that events are being measured accurately.

Select your most valuable events, regardless of how often they occur.

Select events done by at least 95% of users.


Choose an option to see if it’s correct. Check the explanation below. Learn Smarter, not Harder.

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Explanation: What are two ways that a marketer can provide good data to a Google App campaign, powered by machine learning? (Choose two)


Explanation: Two ways that a marketer can provide good data to a Google App campaign, powered by machine learning, are by selecting events done by more than 5% but fewer than 50% of users and by ensuring that events are being measured accurately. Firstly, selecting events with a moderate level of occurrence, as indicated by being done by more than 5% but fewer than 50% of users, allows machine learning algorithms to identify meaningful patterns and trends without being overwhelmed by excessively common or rare events. This ensures that the campaign receives a diverse dataset that accurately represents user behavior without skewing the model's understanding of user engagement. Secondly, ensuring the accurate measurement of events is crucial for providing reliable data to the machine learning system. Accurate event tracking ensures that the campaign receives precise information about user interactions, which is essential for optimizing targeting, bidding, and ad creative placement based on real user behavior. By selecting these two options, marketers can enhance the effectiveness of their Google App campaigns by providing quality data that enables machine learning algorithms to make informed decisions and drive better results.

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