Advertising Optimization | Audit and Experimentation Prompt

What this prompt helps you do

Audit an existing page, process, dataset, or asset, separate facts from assumptions, and turn the highest-priority issues into tests with baselines, metrics, and stop conditions.

Prompt text

Act as a ecommerce advertising optimization analyst and audit the current [Page/Process/Data/Asset] related to the objective: diagnose campaign performance and recommend budget, bid, audience, and landing-page changes. Materials: [Ad-level data], [Attribution window], [Product margin], [Inventory], [Conversion and new-customer data]. Classify findings as Blocking, Major, Moderate, or Optimization, and quote the evidence that triggers each finding. Provide: (1) an issue list; (2) Anomalies and drivers, Optimization actions, Budget reallocation, Test backlog, Risks; (3) at least four improvements or experiments prioritized by impact versus effort; (4) for each experiment, the hypothesis, change, primary metric, guardrail metrics, observation period, and stopping rule; and (5) required human approvals before publishing or execution. Special requirement: Separate correlation from causation. Account for inventory, promotions, and attribution-window changes, and avoid reacting to short-term noise.