80/20 Market Selection
SkillDev toolsFind hyper-responsive buyers and disqualify weak markets using 80/20 Sales and Marketing. Use when choosing a target segment, validating demand, screening prospects, finding urgent buyer problems, or deciding whether a market is worth sales and marketing effort.
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/LVTD-LLC/skills/skills/eighty-twenty-market-selection/SKILL.md and read by Ahel’s review.
Use this skill to identify the small slice of a market most likely to respond, buy, and produce disproportionate value. It is based on 80/20 Sales and Marketing by Perry Marshall.
Source Traceability
Primary source: 80/20 Sales and Marketing, chapters 2, 3, 20, and 21.
- Chapter 2 introduces response-triggered market testing.
- Chapter 3 applies 80/20 to common sales frustrations.
- Chapter 20 covers polarized, highly responsive markets.
- Chapter 21 covers fast market research using buyer language and unanswered questions.
Workflow
1. Define The Market Choice
Capture:
- Product or offer.
- Candidate segment.
- Buyer role.
- Urgent problem.
- Current alternative.
- Proposed proof of responsiveness.
If the segment is broad, split it into narrower groups before judging it.
2. Find Responsiveness Signals
Look for proof that buyers already move:
- Search queries for the problem.
- Social posts, forums, reviews, or communities using emotional buyer language.
- Paid offers, competitors, agencies, consultants, or tools already serving the need.
- Budget, compliance pressure, deadlines, risk, or loss tied to inaction.
- Strong positive or negative reactions, not mild approval.
Do not confuse a logical problem with a responsive market. The question is whether buyers act.
3. Disqualify Weak Segments
Reject or downgrade segments when:
- They lack money or authority.
- The pain is not urgent.
- They do not believe the offer category.
- They cannot say yes without many blockers.
- The solution does not fit their current plans.
- Buyer language is vague or borrowed from the seller.
4. Pick The Testing Move
Choose the smallest action that reveals responsiveness:
- Landing page or offer smoke test.
- Direct outreach to a narrow list.
- Paid search or paid social micro-test.
- Community/listening sprint.
- Interview batch with problem-language capture.
- Waitlist, application, or hand-raise mechanism.
Output Format
# Market Selection Recommendation
## Candidate Segment
- Segment:
- Buyer:
- Urgent problem:
- Current alternative:
## Responsiveness Evidence
| Signal | Evidence | Strength |
|--------|----------|----------|
## Disqualification Check
| Factor | Pass/Concern/Fail | Notes |
|--------|-------------------|-------|
| Money | | |
| Urgency | | |
| Belief | | |
| Authority | | |
| Fit | | |
## Recommended Test
- Test:
- Success signal:
- Kill signal:
- Next segment if this fails:
Quality Bar
- Do not recommend a broad market without narrowing it.
- Do not treat polite interest as buyer responsiveness.
- Use buyer language, not seller language.
- Include explicit disqualifiers before recommending a test.
- Prefer observable action over stated preference.
Signals
- GitHub stars
- 1k
- Forks
- 316
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
eighty-twenty-market-selection- Source
- github.com/hashgraph-online/awesome-codex-plugins
github.com/hashgraph-online/awesome-codex-plugins
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