# Pricing Strategy

> Design product pricing and packaging from a value metric, willingness-to-pay evidence, competitive context, costs, and expansion logic. Use when setting or revising prices, tiers, limits, or packaging without inventing precision the evidence cannot support.

- Skill: `majesticlabs-dev/pricing-strategy` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majesticlabs-dev/pricing-strategy`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majesticlabs-dev/pricing-strategy/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majesticlabs-dev (https://skillmd.com/u/majesticlabs-dev)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/majesticlabs-dev/pricing-strategy

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# Pricing Strategy

## Boundary

Own pricing and packaging decisions, not legal terms or deep financial planning. Never invent competitor prices, willingness to pay, psychological thresholds, or revenue lift.

## Required Inputs

- Segments, jobs, value delivered, and current alternatives
- Current prices, packages, conversion, retention, discount, and expansion data
- Cost to serve, margin constraints, sales motion, and billing capabilities
- Dated competitor pricing and customer research

## Workflow

1. Define the pricing objective and segment decision.
2. Identify candidate value metrics that scale with customer value, are measurable, and remain understandable.
3. Research competitor packages with dates and verification status.
4. Collect willingness-to-pay evidence through behavior, interviews, sales data, or a structured price-sensitivity study.
5. Design a small tier set with clear audience, value boundary, limits, upgrade path, and cost-to-serve check.
6. Model scenarios as ranges with explicit assumptions and segment migration.
7. Plan rollout, grandfathering, communication, measurement, and rollback.
8. Route tax, contract, accounting, and legal questions to qualified specialists.

## Output

1. **Pricing objective and evidence summary**
2. **Value-metric decision**
3. **Tier and packaging design**
4. **Scenario model with assumptions**
5. **Rollout, measurement, and rollback plan**

## Quality Gate

- Every external price is sourced and dated.
- Tiers differ by real value or service cost.
- No arbitrary charm-pricing or decoy claim drives the decision.
- Unit-economics uncertainty is explicit.

## Reference

Use [pricing-research.md](references/pricing-research.md) for evidence and scenario worksheets.