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Revenue model

Skill eltntawy/idea-discovery-playbook/skills/revenue-model

Designs pricing hypotheses, revenue scenarios, and unit-economics checks including CAC, ARPU, churn, LTV, and payback for software ideas. Use when the user asks about pricing, willingness to pay, unit economics, ARR, MRR, or revenue projections.From its SKILL.md

Install
npx -y skills add eltntawy/idea-discovery-playbook --skill revenue-model

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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SKILL.md

1.8 KB, 369 tokens by cl100k_base, as published. Nobody here has run it

Revenue Model

Checklist

  • Anchor pricing to competitor bands
  • State the target segment and pricing logic
  • Build base, upside, and downside scenarios
  • Estimate CAC by channel
  • Compute ARPU, churn, LTV, payback, and LTV:CAC
  • Record whether economics support strong go, conditional go, or kill

Scenario table

ScenarioPriceAdoptionCACChurnLTVLTV:CACNotes
Base
Upside
Downside

Default monthly churn to 5% unless evidence says otherwise.

LTV:CAC decision bands (canonical)

LTV:CAC (base case)Interpretation
< 2:1Kill cue — economics do not support the stated goal
2:1 to < 3:1Conditional go only — name the gap (price, CAC, churn, segment)
≥ 3:1Meets bar for Strong go on unit economics (with scorecard and other stages)

Willingness to pay

Prefer deposits, LOIs, pre-orders, and paid pilots over compliments or email-only signups.

Output

Save to discovery/<topic-slug>/research/YYYY-MM-DD-<topic-slug>-revenue.md.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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