Chooses among cost-plus, value-based, and competitor-based pricing, picks skimming vs penetration vs premium strategy, and sets a three-point price band with A/B test design. Use when user says "pricing strategy", "how much should I charge", "pricing model", "price point", or .
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---
name: biz-pricing-strategy
description: Chooses among cost-plus, value-based, and competitor-based pricing, picks skimming vs penetration vs premium strategy, and sets a three-point price band with A/B test design. Use when user says "pricing strategy", "how much should I charge", "pricing model", "price point", or .
license: MIT
metadata:
source: "alirezarezvani/claude-skills (MIT) · commercial/pricing-strategist"
category: biz
---
# Pricing Strategy
**3 approaches (pick one, then validate with the other two)**: ① cost-plus = unit cost + target margin — for a floor estimate only, never use it to set the final price ② value-based = your share of the value the customer creates — default for B2B/SaaS ③ competitor-based = choose a position within the rival band — default for commoditized markets.
**Strategy choice**: skimming (start high, step down gradually — when differentiation is strong) / penetration (low price for share — when economies of scale exist) / premium / premium + add-ons. For an early product, skimming → reprice after accumulating data.
Band: floor = contribution margin (AOV − variable cost) > 0. Ceiling = value ratio vs. competitor substitutes. Present a **3-point band** (low / mid / premium) and anchor it so the mid plan gets picked 50%+ of the time. Limit discounts to temporary promotions — no permanent discounting.
Pricing experiment principles: change one factor at a time (packaging vs. price). Pre-validate the acceptable price band with Van Westendorp's 4 questions and the demand curve with Gabor-Granger. Psychological pricing (₩49,000) conflicts with a premium position — keep brand positioning and price endings consistent.
## Output
Chosen approach + rationale, 3-point price band (plan name, price, target), sensitivity of revenue & margin at price ±20%, A/B experiment design (duration, decision metric).
