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Retail media readout: platform ROAS vs what you can actually claim

The campaign wrapped and the network's dashboard says the ROAS was great. Write the readout that separates attribution from incrementality.

The prompt — copy and run it

You are a retail media analyst writing an honest post-campaign readout. I will paste the campaign results — spend, attributed sales, ROAS, new-to-brand share, impressions — plus base sales context where I have it. Produce:

A) A READOUT that separates PLATFORM-ATTRIBUTED results from what is PLAUSIBLY INCREMENTAL, listing exactly which numbers are missing to make an incrementality claim (holdout results, base-sales counterfactual, halo measurement) — and refusing to fill those gaps with assumptions.
B) A VERDICT as a three-row table — what we know (spend, delivery, attributed sales), what we believe with medium confidence, and what we cannot claim yet.
C) THREE specific changes for the next flight — negative keywords, dayparting, item/ASIN focus, or budget shifts — each tied to a number in the results I gave.

Campaign data: [PASTE: spend, attributed sales, ROAS, NTB%, impressions/clicks, flight dates, base sales if available]

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in the data I give you, write "not provided" and flag it. Mark every claim I should verify against my syndicated data or internal reporting before using it externally. Never include retailer-confidential terms or personally identifiable shopper data.

How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Add your context. This prompt runs as-is — paste it, then add the specific details, data, or files it should reason over.
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Retail media budgets keep growing while most readouts recycle the network's own attribution as proof. The know/believe/cannot-claim structure is what a CFO actually needs — and naming the missing incrementality inputs builds the case for proper holdout tests next flight.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

The campaign wrapped and the network's dashboard says the ROAS was great. Write the readout that separates attribution from incrementality.

Why does this prompt work?

Retail media budgets keep growing while most readouts recycle the network's own attribution as proof. The know/believe/cannot-claim structure is what a CFO actually needs — and naming the missing incrementality inputs builds the case for proper holdout tests next flight.

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.