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An education company is uploading image assets for their Google App campaign. What are three guidelines they should follow to optimize their image asset mix? (Choose three.)

  • Include large borders for image clarity.
  • Include the maximum of 20 images for coverage.
  • Include images with high pixel density for visibility.
  • Include app store badges and brand logo for credibility.
  • Include large text for accessibility.
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What are the three tracking solutions for Google App campaigns?

  • Google Analytics for Firebase, app attribution partners, codeless tracking with Google Play.
  • Google App Analytics for Advertisers, app attribution partners, Google Play conversion tracking.
  • Google App Analytics for Advertisers, codeless tracking with Google Play, website attribution partners.
  • Google Analytics for Firebase, app attribution partners, Google Ads Analytics.
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Luca’s running a Google App campaign for news publisher World News Online. Why should Luca care about the quality of World News Online’s listing on Google Play? (Choose two.)

  • Information on the Play listing page is used for app push notifications.
  • Information on the Play listing page is used by Google App campaigns as creative assets.
  • World News Online customers have higher expectations than average users.
  • A high-quality listing will encourage downloads by users from the Google App campaign.
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Healthy Life HQ10, a Health and wellbeing company, has both a website and an app. What are three reasons the company should consider implementing measurement solutions that connect web and app? (Choose three.)

  • To drive more fitness video views.
  • To move customers from using the app to using the website.
  • To help improve overall mobile ROI.
  • To close the loop on mobile conversions.
  • To deliver a seamless mobile experience.
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Match each statement about machine learning with the related benefit of Google App campaigns.

1. Machine learning processes massive amounts of data, to deliver the most effective message to the right user at the right time.
2. The complexity of creative A/B testing and possibility of human bias disappear with an automated approach to campaign management.
3. Greater inventory and more ad formats means machine learning can serve ads to a wide audience of interested users.
• Relevance (1)
• Reach (3)
• Simplicity (2)