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Home » Google Ads Apps Certification » What are two ways a marketer can provide good data to a Google App campaign, powered by machine learning? (Choose two.) Select All Correct Responses

What are two ways a marketer can provide good data to a Google App campaign, powered by machine learning? (Choose two.) Select All Correct Responses

Last Updated on 1 month by School4Seo Team

Ensure events are being measured accurately and Select events done by more than 5% but fewer than 50% of users are the two ways a marketer can provide good data to a Google App campaign, powered by machine learning.


  • Select events done by at least 95% of users.
  • Select your most valuable events, regardless of how often they occur.
  • Ensure events are being measured accurately.
  • Select events done by more than 5% but fewer than 50% of users.

The correct answers are: Ensure events are being measured accurately and Select events done by more than 5% but fewer than 50% of users.

Explanation: Ensuring events are measured accurately and selecting events done by more than 5% but fewer than 50% of users are two ways a marketer can provide good data.

Accurate event measurement is crucial for machine learning to learn and optimize effectively. Events performed by 5-50% of users provide a balanced dataset. Too frequent events offer little differentiation, while too rare events lack sufficient data for learning. These parameters allow the AI to properly understand user behaviour and adjust campaign decisions. Supplying clean, relevant data is essential for the AI to train properly.

After you’ve identified the events that matter most to your business, it’s time to make sure you’re measuring when they’ll happen. Gathering data about events that happen in your app and the impact of your advertising will guide your marketing efforts. Remember: The machine learning that powers your App campaign will deliver better results if it has more data to learn from!

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