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Question 35 - AD0-E602 discussion

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An outdoor retailer and Adobe Real-Time CDP customer tries to create a segment that identifies females who browsed camping supplies on its website. The retailer first selected experience events of users who have visited campaign supply product pages in the past 30 days. The initial size of the segment was 450,000 profiles. However, when the retailer AND'd the gender attribute from its loyalty system, the size of the segment dropped to only 7;000 profiles.

What is the most likely explanation for this dramatic drop in segment size?

A.
The segment logic should include an OR statement instead of an AND.
Answers
A.
The segment logic should include an OR statement instead of an AND.
B.
The recency needs to be expanded to include 90 days of activity.
Answers
B.
The recency needs to be expanded to include 90 days of activity.
C.
Women are less interested in the brand's camping supplies than men.
Answers
C.
Women are less interested in the brand's camping supplies than men.
D.
The majority of browsers on the website are not authenticated.
Answers
D.
The majority of browsers on the website are not authenticated.
Suggested answer: D

Explanation:

A. The segment logic should include an OR statement instead of an AND.

B. The recency needs to be expanded to include 90 days of activity.

C. Women are less interested in the brand's camping supplies than men.

D. The majority of browsers on the website are not authenticated.

Answer: D

Explanation:

The most likely explanation for the dramatic drop in segment size is that the majority of browsers on the website are not authenticated. This means that they do not have a loyalty account or a unique identifier that can be matched with the gender attribute from the loyalty system. Therefore, they are excluded from the segment that ANDs the gender attribute with the browsing behavior. To increase the segment size, the retailer could use other methods to identify or infer the gender of anonymous browsers, such as cookies, device IDs, or third-party data.

asked 02/10/2024
Kyaw Lin Thu
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