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Investigate Falling Brand-Ad Spend

Last updated: Mar 29, 2026

Quick Overview

This question evaluates competency in data analysis, anomaly detection, causal inference, and diagnostic reasoning related to advertising performance, within the Analytics & Experimentation domain.

  • medium
  • Meta
  • Analytics & Experimentation
  • Data Scientist

Investigate Falling Brand-Ad Spend

Company: Meta

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Technical Screen

On a video ads platform, there are two ad products: - Direct Ads: optimized for immediate response. - Brand Ads: when a user clicks the video ad, they are taken to the advertiser's website. A large advertiser reports that spend on Brand Ads has fallen materially over the last few weeks. How would you: 1. Validate that the decline is real rather than a dashboard, tracking, FX, or pipeline issue? 2. Quantify the size of the drop relative to an appropriate baseline? 3. Diagnose the root cause? In your answer, explain what data you would pull, what baselines or control groups you would use, how you would segment the analysis, and which metrics you would inspect. Consider multiple plausible explanations such as seasonality, budget changes, auction competition, targeting changes, inventory shifts, creative fatigue, landing-page problems, attribution or tracking bugs, and cannibalization between Brand Ads and Direct Ads.

Quick Answer: This question evaluates competency in data analysis, anomaly detection, causal inference, and diagnostic reasoning related to advertising performance, within the Analytics & Experimentation domain.

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Meta
Mar 12, 2026, 12:00 AM
Data Scientist
Technical Screen
Analytics & Experimentation
1
0
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On a video ads platform, there are two ad products:

  • Direct Ads: optimized for immediate response.
  • Brand Ads: when a user clicks the video ad, they are taken to the advertiser's website.

A large advertiser reports that spend on Brand Ads has fallen materially over the last few weeks. How would you:

  1. Validate that the decline is real rather than a dashboard, tracking, FX, or pipeline issue?
  2. Quantify the size of the drop relative to an appropriate baseline?
  3. Diagnose the root cause?

In your answer, explain what data you would pull, what baselines or control groups you would use, how you would segment the analysis, and which metrics you would inspect. Consider multiple plausible explanations such as seasonality, budget changes, auction competition, targeting changes, inventory shifts, creative fatigue, landing-page problems, attribution or tracking bugs, and cannibalization between Brand Ads and Direct Ads.

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