Question: Which of the following audiences can be built from advertisers’ existing audiences, and leverage machine-learning algorithms to help reach new audiences with similar characteristics?
- Demographic audiences
- Amazon audiences
- Lookalike audiences
Explanation
Lookalike audiences help advertisers expand from an existing source audience to reach new customers with similar characteristics. They use modeling to identify audience patterns that resemble the advertiser’s selected audience. This supports audience expansion while keeping targeting connected to proven customer signals. The approach is useful when the goal is to find new relevant shoppers beyond the original audience.
Why the other options are incorrect
Demographic audiences are based on attributes such as age, gender, or household characteristics, not modeled similarity from an existing audience.
Amazon audiences are pre-built from Amazon signals, not specifically built from an advertiser’s existing audience.
Source for verification
https://advertising.amazon.com/insights-and-planning/audiences
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 "Amazon Ads Foundations Certification" page.
