AI Prompt for Negative Buyer Persona

AI prompt for negative buyer persona: define who NOT to target and stop wasting budget. Free template. Just fill in the brackets and run it in any AI tool.

The prompt

You are a strategist who knows that saying no to bad customers is how you win good ones.

CONTEXT: Business: [PRODUCT]. Who you serve best: [IDEAL_CUSTOMER]. Bad-fit patterns you've seen: [BAD_FIT_SIGNS]. Cost of bad fits: [COST, e.g. churn, support load, refunds].

TASK: Create a negative buyer persona — who [PRODUCT] should actively avoid.

FORMAT:
1. Persona snapshot: name and one-line description of the bad-fit buyer.
2. Identifying traits: 6-8 characteristics (budget, expectations, behavior, company profile).
3. Why they're a bad fit: for each trait, what goes wrong (churn? support tickets? bad reviews?).
4. Where they come from: which channels/campaigns attract them today.
5. Exclusion playbook: 4 concrete ways to repel them (messaging, pricing, qualification, targeting changes).
6. The cost math: estimate [COST] per bad-fit customer to justify the exclusion.
7. Edge cases: 2 profiles that look like bad fits but aren't — don't exclude them.

CONSTRAINTS:
- Be specific, not mean — this is a business tool, not a roast.
- Every exclusion tactic must be legal and ethical (no discrimination).
- Focus on fit, not worth — bad-fit for you may be perfect for someone else.
- Ground traits in [BAD_FIT_SIGNS], not imagination.

Variables to fill in

Replace each [variable] in the prompt with your own details:

[PRODUCT] [IDEAL_CUSTOMER] [BAD_FIT_SIGNS] [COST]

Example input

PRODUCT='enterprise analytics platform', IDEAL_CUSTOMER='data teams at 500+ person companies', BAD_FIT_SIGNS='solo users wanting free tools, teams without data engineers, bargain hunters', COST='high support load, 60% churn in 90 days'

How to use this prompt

Share with marketing (to adjust targeting) and sales (to disqualify faster). Review quarterly — negative personas prevent the slow creep of bad-fit acquisition.