##### Scenario A cryptocurrency company airs a Super Bowl commercial featuring a QR code; viewers who scan and complete sign-up receive a $15 coupon. ##### Question How would you estimate the total number of successful sign-ups generated by this Super Bowl advertisement? ##### Hints Consider audience size, scan rate, funnel conversion, historical comps, coupon redemption, and ways to validate assumptions with sampling or controlled experiments.

This question evaluates a data scientist's competency in marketing analytics, attribution modeling, funnel analysis, event instrumentation, and causal inference for estimating incremental sign-ups from an advertising campaign.

How do I approach Analytics & Experimentation interview questions?

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 medium difficulty Analytics & Experimentation question, commonly asked during Technical Screen rounds at Coinbase.

What role is this question designed for?

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

Estimate Successful Sign-ups from Super Bowl QR Code Ad

Estimating Sign-ups from a Super Bowl QR Code Ad

Background

A cryptocurrency company airs a national Super Bowl commercial featuring a bouncing QR code. Viewers who scan and complete sign-up receive a $15 coupon.

Assume “successful sign-up” means a new, verified account (including KYC) completed within a 7-day attribution window after exposure to the ad.

Task

How would you estimate the total number of successful sign-ups generated by this advertisement? Outline a practical approach that:

Defines the metric and attribution window.
Proposes a top-down funnel model from audience to verified sign-ups.
Uses available data (QR/landing/app logs, coupon issuance/redemption, app store installs) to build a bottom-up measurement.
Separates incremental lift from background activity.
Validates assumptions with sampling or controlled experiments.

Hints

Audience size and attention (TV + streaming reach; fraction actively watching during the spot)
Scan rate (given attention), landing success, app install, account creation, KYC completion
Historical comps for conversion rates and coupon redemption lag
Coupon issuance vs redemption as a proxy
Methods to validate assumptions: short-window sampling, randomized QR parameters, geographic/time holdouts, pre/post baselines, difference-in-differences

Task

How would you estimate the total number of successful sign-ups generated by this advertisement? Outline a practical approach that:

Defines the metric and attribution window.

Proposes a top-down funnel model from audience to verified sign-ups.

Uses available data (QR/landing/app logs, coupon issuance/redemption, app store installs) to build a bottom-up measurement.

Separates incremental lift from background activity.

Validates assumptions with sampling or controlled experiments.

Hints

Audience size and attention (TV + streaming reach; fraction actively watching during the spot)

Scan rate (given attention), landing success, app install, account creation, KYC completion

Historical comps for conversion rates and coupon redemption lag

Coupon issuance vs redemption as a proxy

Methods to validate assumptions: short-window sampling, randomized QR parameters, geographic/time holdouts, pre/post baselines, difference-in-differences

Estimate Successful Sign-ups from Super Bowl QR Code Ad

Quick Overview

Estimating Sign-ups from a Super Bowl QR Code Ad

Background

Task

Hints

Solution

Submit Your Answer

Estimate Successful Sign-ups from Super Bowl QR Code Ad

Quick Overview

Estimating Sign-ups from a Super Bowl QR Code Ad

Background

Task

Hints

Solution

Submit Your Answer