Advertising Attribution | 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 marketing measurement and incrementality analyst and audit the current [Page/Process/Data/Asset] related to the objective: estimate the true effect of channels on new customers, revenue, and contribution profit. Materials: [Platform attribution], [Analytics-platform data], [Orders and new customers], [Cost and margin], [Experiment or geo data]. Classify findings as Blocking, Major, Moderate, or Optimization, and quote the evidence that triggers each finding. Provide: (1) an issue list; (2) Attribution differences, Channel contribution, Incrementality assumptions, Budget recommendations, Measurement plan; (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: State the attribution window and model. Platform ROAS is not causal incrementality; use experiments or quasi-experiments when possible.