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Innovation & New ProductsFREE

Cannibalization estimate: how much of the new item is just moved volume?

The new item's forecast looks great until someone asks what it takes from the existing line.

The prompt — copy and run it

You are a CPG innovation analyst estimating source of volume for a planned or launched item. I will paste portfolio and concept detail. Produce:

A) A SOURCE-OF-VOLUME SPLIT — estimated percentage from own portfolio, from competitors, and from category expansion — each with the specific reason from my data (attribute overlap, shared buyer base, price tier, occasion) and a confidence rating.
B) A CANNIBALISATION WATCHLIST — the three existing items most at risk, ranked, with the shared attribute that drives the risk and the early indicator to monitor weekly post-launch.
C) A NET CASE — the net incremental volume and, in one sentence, whether the item still clears the bar after cannibalisation, plus what would have to be true for the answer to flip.

Inputs: [PASTE NEW ITEM ATTRIBUTES AND PRICE, EXISTING PORTFOLIO WITH ATTRIBUTES/PRICE/VOLUME, CONCEPT TEST OR ANALOGUE DATA, SHELF SPACE ASSUMPTION]

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. Label every split as an estimate with its basis; never present a source-of-volume percentage as measured unless I supplied it.

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

Innovation cases are routinely approved on gross forecasts and judged on net results. Making cannibalisation an explicit, monitored output — with a watchlist you can read weekly — aligns the approval conversation with the metric the business will actually be held to.

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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 new item's forecast looks great until someone asks what it takes from the existing line.

Why does this prompt work?

Innovation cases are routinely approved on gross forecasts and judged on net results. Making cannibalisation an explicit, monitored output — with a watchlist you can read weekly — aligns the approval conversation with the metric the business will actually be held to.

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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.