What kind of positive impact will machine learning have on the advertising industry?
Machine learning creates company strategies.
Machine learning measures performance more effectively.
Machine learning builds great customer relationships.
Machine learning delivers relevant ads to each customer.
Correct Answer
Machine learning delivers relevant ads to each customer.
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About the Google Ads Apps Certification
The Google Ads Apps Certification covers App campaigns, which use your assets and bidding goal to promote an app across Search, Google Play, YouTube and the Display Network.
Exam guide and all 181 Google Ads Apps questions →Related Google Ads Apps questions
- 1William is an online marketing manager at an advertising agency. As William learns more about machine learning, he wants to clarify the value he still adds for his clients. What are two reasons why William can be excited about the growing impact of machine learning on marketing? (Choose two.) Select All Correct ResponsesMultiple correct
- 2What impact has machine learning made on the marketing industry?
- 3Simon has been in the marketing industry for a few years. He’s learning about the ways in which machine learning can help both him as a marketer and his target users. How will machine learning change his core responsibilities?
- 4In Google App campaigns, machine learning does the heavy lifting — deciding which user sees which ad, at what time, on which platform. But this doesn’t mean your role is passive. To pass the Google Ads Apps Certification and run high-performing campaigns, you must understand what Google automates , what you still control, and how to feed the system with the right inputs . This article explains how machine learning powers App campaigns and how to structure your campaigns for success — and certification. Google’s machine learning models automatically: This process is called auction-time optimization , and it happens for each individual ad impression . Without conversion tracking:
- 5Creative assets are the fuel of Google App campaigns . They’re not just design elements — they’re performance drivers, especially because Google relies on them for machine learning-based ad assembly . The Google Ads Apps Certification exam frequently tests your understanding of asset requirements, optimization strategies, and best practices. This article will guide you through what to upload, how to optimize, and how these choices affect campaign success and certification answers. These include:Multiple correct
- 6The Google Ads Apps Certification exam focuses heavily on campaign structure, asset quality, user engagement metrics, and the proper use of machine learning and Firebase . If you’re preparing for the exam, it’s important to know that the real test isn’t about launching generic app campaigns — it’s about how well you understand ad group structure , conversion tracking , and creative optimization . This guide breaks it all down based on the exact topics that appear in the certification test.Multiple correct