Estimate revenue of organic shopping tab
MetaData Scientist · Onsite
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This question evaluates a data scientist's skills in revenue modeling, funnel construction, causal inference for bias correction, experimentation scaling, and sensitivity analysis using organic engagement and purchase metrics.
Your team is assessing a new Shopping tab in a social photo app. Only organic posts and in-app search are in scope (exclude ads and paid placements). Using available data (product page views, add-to-carts, purchases, average order value, organic impression counts), estimate monthly potential revenue if the tab is launched to 100% of users. Detail: (a) your conversion funnel and algebra (e.g., revenue = impressions × CTR × PDP_view_rate × add_to_cart_rate × purchase_rate × AOV), (b) how you'd obtain unbiased CTR/PDP rates from current organic entry points, (c) how to adjust for cannibalization of existing organic purchases, (d) how to scale from experiment traffic to the full population (accounting for heterogeneity), and (e) sensitivity analysis on key assumptions.
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