This question evaluates a data scientist's competency in analytics and experimentation, focusing on ad allocation, user segmentation, revenue trade-offs, user experience impact, model learning rate, and overall marketplace health.

A product manager proposes allocating all ad impressions to the "high-intent" user segment (users predicted to have a high probability of clicking/converting), and serving no ads to other users.
Assumptions (for clarity):
If we serve ads only to the high-intent segment, what are the main pros and cons in terms of:
Hints: Consider short-term yield, user fatigue, market size, and model learning rate.
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