Estimate revenue of organic shopping tab

Quick Overview

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.

Estimate revenue of organic shopping tab

Company: Meta

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Onsite

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.

Quick Answer: 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.

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Oct 13, 2025, 9:49 PM
hardData ScientistOnsiteAnalytics & Experimentation
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Estimate Monthly Revenue for a New Shopping Tab (Organic Only)

Context

You are evaluating the potential monthly revenue impact of launching a new Shopping tab in a social photo app. Only organic surfaces are in scope (organic posts and in-app search). Exclude ads and any paid placements.

You have access to the following data from current organic experiences:

  • Organic impression counts (e.g., product tiles in feed, creator posts with product tags, organic search results)
  • Product detail page (PDP) views
  • Add-to-carts (ATC)
  • Purchases (in-app)
  • Average order value (AOV)

Assume purchases are on-platform and can be linked to prior organic exposures.

Task

Using the available data, estimate monthly potential revenue if the Shopping tab is launched to 100% of users. Provide:

(a) A clearly specified conversion funnel and algebraic formula for revenue.

(b) How you would obtain unbiased CTR/PDP rates from current organic entry points (given position/selection biases).

(c) How you would adjust for cannibalization of existing organic purchases.

(d) How you would scale from experiment traffic to the full population while accounting for heterogeneity.

(e) A sensitivity analysis on the key assumptions and parameters.

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