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Investigate Super Bowl Ad Impact on User Sign-Ups and Revenue

Last updated: Mar 29, 2026

Quick Overview

This question evaluates proficiency in attribution and funnel estimation, cohort analysis, revenue decomposition, instrumentation, and diagnostic analytics to quantify campaign-driven sign-ups from a tracked QR experience and to explain a month-over-month retail revenue decline.

  • medium
  • Coinbase
  • Analytics & Experimentation
  • Data Scientist

Investigate Super Bowl Ad Impact on User Sign-Ups and Revenue

Company: Coinbase

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Technical Screen

##### Scenario A crypto company airs a Super Bowl commercial with a QR code that awards a $15 coupon upon sign-up; later the PM reports retail revenue has fallen 20% month-over-month. ##### Question How would you estimate the number of users who will complete sign-up after scanning the QR code shown during the Super Bowl ad? Retail revenue is down 20% MoM. How would you investigate the drivers of the decline, what analyses would you run next, and how would you use cohort analysis to understand the impact on different user groups? ##### Hints Build a funnel (reach→scan→click→sign-up), sanity-check CTR/CVR; decompose revenue into traffic, conversion, AOV; slice by channel, cohort, product changes; propose experiments or fixes.

Quick Answer: This question evaluates proficiency in attribution and funnel estimation, cohort analysis, revenue decomposition, instrumentation, and diagnostic analytics to quantify campaign-driven sign-ups from a tracked QR experience and to explain a month-over-month retail revenue decline.

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Coinbase
Jul 12, 2025, 6:59 PM
Data Scientist
Technical Screen
Analytics & Experimentation
5
0

Estimating QR-Driven Sign-ups and Diagnosing a 20% MoM Retail Revenue Decline

Scenario

A crypto company runs a Super Bowl commercial featuring a QR code that awards a $15 coupon upon sign-up. After the campaign, the PM reports that retail revenue has fallen 20% month-over-month (MoM).

Task

  1. Estimate the number of users who will complete sign-up after scanning the Super Bowl ad's QR code.
  2. Retail revenue is down 20% MoM. Investigate likely drivers, outline the analyses you would run next, and explain how you would use cohort analysis to understand the impact across user groups.

Assumptions (minimal, explicit)

  • The QR code points to a unique, trackable URL with UTM parameters and server-side logging to measure scans/visits.
  • The ad aired nationally during the Super Bowl with high concurrent traffic and a short QR on-screen window.
  • Sign-up requires KYC; the coupon is delivered upon successful sign-up or after first funding (specify in instrumentation).
  • Retail revenue is primarily driven by trading fees (take rate × trading volume), with possible contributions from other products (e.g., staking, subscriptions).

Solution

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