80/20 Market Selection

SkillDev tools

Find 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.

Use 80/20 Market Selection in Claude, ChatGPT or Ahel Desktop

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Then ask your AI: use the 80/20 Market Selection skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

80/20 Market SelectionStart free

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