Start by clarifying the campaign's objective and defining a clear success metric (e.g., conversion rate, ROI). Then propose a data-driven approach: run experiments with varying durations, analyze marginal returns, and consider factors like audience fatigue and budget constraints to find the optimal duration.
Pro tip: Emphasize that the optimal duration is not fixed but should be determined through iterative testing and monitoring of key metrics, and always align with business goals and resource availability.
Clarify the campaign's goal (e.g., brand awareness, lead generation) and select the primary success metric (e.g., conversion rate, ROI, CPA).
Review past campaigns and industry benchmarks to estimate a reasonable duration range and identify patterns like diminishing returns.
Run A/B tests or multi-armed bandit experiments where different audience segments are exposed to the campaign for different lengths of time.
Track metrics over time to detect when additional days yield little incremental benefit (e.g., when CPA rises or conversion rate plateaus).
Use the data to select the duration that maximizes the objective within constraints, and continuously refine based on ongoing performance.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.