This question evaluates proficiency in ad campaign analytics, ROI and unit-economics calculations, conversion-rate reasoning, and cost-benefit decision-making within the Analytics & Experimentation domain for a data scientist role, with emphasis on practical application over purely conceptual theory.

You are evaluating a credit-card marketing campaign on a streaming platform. The platform can run either a 30-second unskippable ad or a skippable ad. You must identify what to evaluate before launching, compute the profit for the unskippable plan, find the conversion needed for the skippable plan to match that profit, compare against the option of running no campaign, and propose additional data/analyses to strengthen a recommendation.
Assumption for clarity: The 1.4% "click-to-apply conversion" is treated as the overall view-to-application rate (i.e., fraction of all viewers who submit an application). Approval rate is the fraction of applications approved.
Skippable variant:
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