Question: What are two key benefits of machine learning in light of the changing privacy landscape?
- Help marketers collect first-party data resources used for their marketing initiatives
- Help marketers reach qualified audiences, even when some signals are limited
- Help marketers understand performance when the path between ad interactions and conversions isn’t visible
- Help marketers to create 1:1 consumer insights profiles to increase consumer engagement
Explanation
Google AI helps preserve performance when privacy changes reduce observable user signals. Optimized targeting can use available signals to find users likely to convert beyond manually selected audience segments. Conversion modeling estimates conversions when the full path from ad interaction to conversion cannot be observed. These capabilities support audience activation and measurement without depending on unrestricted user-level tracking.
Why the other options are incorrect
1:1 consumer insights profiles is incorrect because privacy-safe Google AI does not create identifiable individual profiles for engagement.
First-party data collection is incorrect because machine learning can use first-party data, but it does not collect those resources for the advertiser.
Source for verification
https://support.google.com/google-ads/answer/10537509
https://support.google.com/google-ads/answer/12443859
The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "Privacy for Agencies and Partners Certification" page.