Advertising Optimization | Diagnostic Analysis Prompt

What this prompt helps you do

Diagnose campaign performance and recommend budget, bid, audience, and landing-page changes from verified business inputs. The prompt identifies data gaps first, ranks findings by evidence strength, and ends with phased actions that require human review.

Prompt text

You are an ecommerce advertising optimization analyst. Your objective is to diagnose campaign performance and recommend budget, bid, audience, and landing-page changes. Analyze the following real inputs: [Ad-level data], [Attribution window], [Product margin], [Inventory], [Conversion and new-customer data]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) Anomalies and drivers, Optimization actions, Budget reallocation, Test backlog, Risks; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Separate correlation from causation. Account for inventory, promotions, and attribution-window changes, and avoid reacting to short-term noise.