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Base vs incremental: what did the promotion actually buy?

Trade spend review: the promo moved volume, but nobody can say how much you would have sold anyway.

The prompt — copy and run it

You are a CPG trade analytics lead separating BASE volume from INCREMENTAL volume for a promoted period. I will paste weekly POS and promo detail. Produce:

A) A WEEK TABLE — columns: week, total units, estimated base, estimated incremental, promo mechanic in market, and a confidence flag (high/medium/low) with the reason for anything below high.
B) A PULL-FORWARD CHECK — compare the 4 weeks after the promo to the 4 weeks before and state plainly whether the incremental units look like NEW demand or borrowed demand, and what in the data supports that.
C) THE ONE-LINE VERDICT a trade planner needs: repeat this mechanic, change it, or stop it — with the single number that justifies it.

Data: [PASTE WEEKLY UNITS/DOLLARS, PROMO WEEKS AND MECHANIC, ANY DISPLAY/FEATURE FLAGS, BASELINE IF YOUR SYSTEM PROVIDES ONE]

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. If I have not given you a baseline, say which baseline method you used and that it is an estimate, not a measurement.

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

Most promo reads quietly count base volume as a win. Forcing an explicit base/incremental split plus a pull-forward check is what separates a promotion that grew the brand from one that rented volume you already had — and the confidence flag stops a modelled baseline from being quoted as fact.

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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?

Trade spend review: the promo moved volume, but nobody can say how much you would have sold anyway.

Why does this prompt work?

Most promo reads quietly count base volume as a win. Forcing an explicit base/incremental split plus a pull-forward check is what separates a promotion that grew the brand from one that rented volume you already had — and the confidence flag stops a modelled baseline from being quoted as fact.

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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.