This question evaluates a data scientist's competency in cohort-level financial risk assessment, experiment design, and metrics-driven monitoring for promotional break-even analyses within the Analytics & Experimentation domain.

You are evaluating a break-even (BE) analysis for a partnership offer with RH (e.g., a promotional discount or financing offer). The BE model estimates whether the promotion produces enough incremental profit to cover its costs. You must identify risks that could invalidate the BE math and specify how to mitigate and monitor them during an experiment.
Assume BE is calculated at the cohort level as:
Enumerate the key risks and, for each, specify:
Risks to cover:
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