Two Stories of Growing Ad Revenue: Diagnosis, Ad-Tech Mechanics and Measured Impact

Describe two separate occasions when you raised the advertising revenue of a product you worked on. For each one, explain where revenue was being lost or left unrealized, how you discovered it, what you changed and why, what you personally did, and how you measured the outcome, including any cost to users or advertisers. Expect the interviewer to dig into how the ad system behind each change works. ```hint Pick two different levers Ad revenue is the product of several factors, from how many ad opportunities exist to how many ads actually play and what buyers pay for them. Two stories that each move a different factor, and that each show the diagnosis before the fix, say more than two versions of the same change. ``` ### Clarifying Questions - Should both examples come from the same ad format, such as video ads in a streaming app or sponsored listings in a marketplace, or is range across formats preferred? - Does recovering ads that failed to load or play count as improving monetization, or is the interest mainly in pricing, targeting and advertiser demand? - How deep should I go into the ad stack, for example how ads are selected, auctioned and delivered to devices? - May I use an example where revenue rose but a user-experience metric dipped, if I explain how the trade-off was judged? ### What a Strong Answer Covers - A revenue breakdown (opportunities, fill, delivery, price) that locates where each problem sat. - An evidence-led diagnosis of the root cause before the fix, with the technical mechanics of the ad system involved. - A clear account of the candidate's own decisions and cross-team work, separate from the team's. - Quantified results with a credible measurement method, such as an A/B test or holdout, plus guardrails on viewer experience and advertiser outcomes. - Two examples that pull different levers, with reflection on what was learned. ### Follow-up Questions - How did you rule out seasonality or a shift in advertiser demand as the real cause of the lift? - What did the change cost viewers or advertisers, and how did you decide that cost was acceptable? - If you had to roll back one of the two changes, which would you give up, and why?