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.

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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Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

What difficulty level is this interview question?

This is a hard difficulty Analytics & Experimentation question, commonly asked during Onsite rounds at Meta.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Meta during technical interviews.

Estimate revenue of organic shopping tab

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).

(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.

Context

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).

(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.

Estimate revenue of organic shopping tab

Quick Overview

Estimate Monthly Revenue for a New Shopping Tab (Organic Only)

Context

Task

Solution

Submit Your Answer to Earn 20XP

Estimate revenue of organic shopping tab

Quick Overview

Estimate Monthly Revenue for a New Shopping Tab (Organic Only)

Context

Task

Solution

Submit Your Answer to Earn 20XP