Assess the potential biases when using historical sales data to predict the impact of a new marketing strategy.

Instruction: Identify potential biases and suggest methods to mitigate their effects in a causal analysis.

Context: This question tests the candidate's ability to identify and handle biases in causal inference, particularly in a business context involving sales and marketing data.

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Historical sales can predict demand under past policies without identifying the incremental effect of a new strategy. Targeting may favor customers already likely to buy, while campaigns may coincide with discounts, inventory changes or seasonal demand.

Audit eligibility, assignment/exposure time, prices, refunds, stockouts, prior purchasing and selection into the dataset...

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