Metrics question
What are the type of ad metrics reported by ad publishers?
- Ask Media
- Metrics
- Easy
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Familiarity with what ad publishers actually report, a baseline for anyone building ad products at a company like Ask Media.
How to approach it
- Group metrics by funnel stage: delivery, engagement, and outcome.
- List delivery metrics: impressions, fill rate, and viewability.
- List engagement metrics: click-through rate, and for video, completion rate.
- List outcome metrics where trackable: conversions and, where available, revenue attributed to the ad.
- Mention reporting cadence and granularity, since publishers typically report daily and can break down by placement or creative.
- Note that reporting standards vary by ad network, so ask if the interviewer wants a specific network's report format.
What a strong answer includes
- Organizes the answer clearly by funnel stage rather than listing metrics randomly.
- Distinguishes metrics publishers control, like viewability and fill rate, from metrics advertisers care most about, like conversions.
- Mentions discrepancy between publisher-reported and advertiser-tracked numbers as a known industry issue worth flagging.
- Notes granularity, for example breakdown by placement or device, as part of what makes a report useful.
Common mistakes
- Listing only impressions and clicks, ignoring viewability, fill rate, or completion rate.
- Not organizing metrics by funnel stage, making the answer feel like a random list.
- Ignoring the common discrepancy between publisher and advertiser reported numbers.
Likely follow-up questions
- Why might publisher-reported impressions differ from advertiser-tracked impressions?
- Which of these metrics would matter most for a video-heavy inventory?
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More questions from Ask Media
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop