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Network QBR prep: the questions the retail media rep hopes you skip

Your retail media partner's quarterly review is next week and their deck will only contain the metrics that flatter them.

The prompt — copy and run it

You are preparing a brand-side agenda for a retail media network business review. I will paste the reported performance. Produce:

A) A CLAIM AUDIT — each metric in their reporting, what it actually measures, the attribution window and model behind it, and what it does NOT tell you.
B) TWELVE QUESTIONS to ask, ordered so the easy ones come first, covering: incrementality evidence, attribution window, share of voice versus spend, placement mix, search-term waste, new-to-brand rate, and access to raw or log-level data.
C) A NEGOTIATION FRAME — the two commitments worth asking for this quarter (e.g., a holdout test, log-level data access, a joint business plan tied to category growth) and the fallback for each if refused.

Input: [PASTE THE NETWORK'S REPORTED METRICS, SPEND, CAMPAIGN TYPES, PERIOD, ANY CONTRACT TERMS YOU CAN SHARE]

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. Do not include any confidential retailer terms in the output.

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

The buyer of retail media almost never controls the measurement, so the leverage is in the questions. Auditing what each metric actually measures before the meeting turns a presentation you sit through into a negotiation you lead.

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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?

Your retail media partner's quarterly review is next week and their deck will only contain the metrics that flatter them.

Why does this prompt work?

The buyer of retail media almost never controls the measurement, so the leverage is in the questions. Auditing what each metric actually measures before the meeting turns a presentation you sit through into a negotiation you lead.

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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.