Question: An outdoor gear company has connected their D2C website purchase insights to Ads Data Manager. They want to increase their advertising effectiveness by reaching audiences on Amazon who exhibit similar characteristics to their top spending customers on their website. Which use case should they implement to achieve this goal?
- Goal-Based Optimization in Amazon DSP with automated campaign adjustments
- Customer Long-term Value analysis to identify their most valuable customers
- Bid boosting in Sponsored Products to increase bids for audiences similar to their high-spending customer segment
Explanation
Customer Long-term Value analysis in Amazon Marketing Cloud helps identify customers with the strongest historical value signals. Connected D2C purchase insights can be used to understand which customer attributes define the brand’s most valuable segment. That segment can then support audience strategy for reaching shoppers with similar characteristics on Amazon. This analysis should happen before applying activation tactics such as bid adjustments.
Why the other options are incorrect
Goal-Based Optimization is incorrect because it optimizes Amazon DSP delivery rather than identifying high-value customer segments from onboarded purchase insights.
Bid boosting is incorrect because it is an activation tactic, not the analysis step used to define the high-spending source segment.
Source for verification
https://advertising.amazon.com/API/docs/en-us/guides/amazon-marketing-cloud/playbooks/CLTV
https://advertising.amazon.com/solutions/products/amazon-marketing-cloud
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 Marketing Cloud Certification" page.