Quick Overview

Work through a multi-part advertising SQL interview covering top ads by impressions, CTR by ad type, campaign conversion value per exposed user, and peak-hour performance. The solution emphasizes correct table grain, attribution windows, user denominators, timezone handling, and statistically cautious interpretation.

Analyze Thirty-Day Ad Performance with SQL

Company: Meta

Role: Data Scientist

Category: Data Manipulation (SQL/Python)

Difficulty: medium

Interview Round: Onsite

Quick Answer: Work through a multi-part advertising SQL interview covering top ads by impressions, CTR by ad type, campaign conversion value per exposed user, and peak-hour performance. The solution emphasizes correct table grain, attribution windows, user denominators, timezone handling, and statistically cautious interpretation.

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