Behavioral question

Tell me a scenario where data was used to make/change an ad serving decision.

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Applied understanding of data driven ad decisions through a concrete, specific scenario rather than theory.

Set the scene: the specific ad campaign or serving decision and what data was available at the time.
Explain what the data showed, like a specific audience segment underperforming or a creative variant winning.
Describe the specific change made in response, like reallocating budget or pausing a low performing placement.
Explain how the change was validated, ideally with a before and after comparison.
State the measurable result of the change.

Describes a specific scenario with real data, like a segment underperforming by a stated margin, not a hypothetical.
Shows the direct link between the data signal and the specific action taken, like reallocating budget to a better segment.
Includes a before and after comparison to validate the change actually worked.
States a concrete measurable result, like an improvement in cost per acquisition or click through rate.

Describing the scenario in vague, hypothetical terms with no specific data or result.
Skipping validation, describing a change with no evidence it actually improved performance.

Chapters of the AI PM course that teach what this question tests.