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Scale, kill, or keep testing: the audience portfolio call

Performance by audience is in and the meeting wants decisions. Make the scale/kill/test calls on stated criteria — with an honest 'too small to judge' bucket.

The prompt — copy and run it

You are a paid audience strategist reviewing segment performance. I will paste results by audience. Produce:

A) A SCALE / KILL / KEEP-TESTING TABLE with the stated criterion behind every call, drawn only from my numbers. Any segment with too little spend or volume to judge gets marked "insufficient data — do not call" with the spend level that would make it readable.
B) OVERLAP AND CANNIBALIZATION QUESTIONS: where my segments may be buying the same users twice, or harvesting demand another channel created — each phrased as a specific check to run, not an accusation.
C) A TEST QUEUE: the next three audience hypotheses, each with the sizing logic from my data, the success criterion set IN ADVANCE, and the budget floor it needs to produce a readable answer.

My data: [PASTE: performance by audience/segment — spend, results, duration — plus how each audience is defined and targeted]

Rules: Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it. Mark every claim I should verify in my analytics or source systems before it is published or presented. Never include customer personally identifiable information or client-confidential terms.

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

Audience decisions default to whoever saw the dashboard last. Requiring a stated criterion per call — and an explicit insufficient-data bucket — stops the account from killing segments that never got enough spend to prove anything, which is where paid accounts quietly destroy option value.

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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?

Performance by audience is in and the meeting wants decisions. Make the scale/kill/test calls on stated criteria — with an honest 'too small to judge' bucket.

Why does this prompt work?

Audience decisions default to whoever saw the dashboard last. Requiring a stated criterion per call — and an explicit insufficient-data bucket — stops the account from killing segments that never got enough spend to prove anything, which is where paid accounts quietly destroy option value.

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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.