multiAI Summary Pending
Pricing Strategy Analyzer
Analyze and optimize pricing for any product or service. Covers value-based, cost-plus, competitive, and tiered pricing models.
3,556 stars
byopenclaw
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/afrexai-pricing-strategy/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-pricing-strategy/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/afrexai-pricing-strategy/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Pricing Strategy Analyzer Compares
| Feature / Agent | Pricing Strategy Analyzer | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Analyze and optimize pricing for any product or service. Covers value-based, cost-plus, competitive, and tiered pricing models.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Pricing Strategy Analyzer Analyze and optimize pricing for any product or service. Covers value-based, cost-plus, competitive, and tiered pricing models. ## What It Does - Runs pricing power analysis (1% price increase = 12.5% profit increase for most businesses) - Calculates willingness-to-pay ranges using Van Westendorp methodology - Models tier structures (Good/Better/Best) with anchor pricing - Identifies pricing mistakes: leaving money on table, racing to bottom, ignoring segments - Generates competitor pricing matrices - Produces actionable pricing recommendations with revenue impact estimates ## Usage Ask your agent: "Analyze pricing for [product/service]" or "Help me set pricing for [new offering]" Provide: - Current pricing (if any) - Target customer segment - Key competitors and their pricing - Cost structure (fixed + variable) - Current conversion rate and volume The agent will return a full pricing analysis with specific recommendations and projected revenue impact. ## Pricing Frameworks Included ### Value-Based Pricing Calculate price based on quantified customer value, not your costs. The #1 pricing mistake is anchoring to cost instead of value delivered. ### Tiered Pricing (Good/Better/Best) - **Good**: Entry point, captures price-sensitive segment (60-70% of value) - **Better**: Sweet spot, where most revenue comes from (85-90% of value) - **Best**: Premium anchor that makes Better look reasonable (100%+ of value) ### Competitive Positioning - Premium (20-50% above market): requires clear differentiation - Parity (±10%): compete on features/experience - Penetration (20-40% below): volume play, requires cost advantage ### Price Elasticity Quick Test - Drop price 10%, measure volume change - If volume increases <10% → you have pricing power, raise prices - If volume increases >15% → you're in elastic territory, optimize for volume ## Key Metrics to Track - **ACV** (Annual Contract Value) — are deals getting bigger or smaller? - **Discount frequency** — if >30% of deals need discounts, your list price is wrong - **Time-to-close by price point** — longer cycles at higher prices may still be more profitable - **Expansion revenue %** — best signal that your pricing captures ongoing value ## Resources - [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Find where you're losing money - [AI Agent Context Packs](https://afrexai-cto.github.io/context-packs/) — Industry-specific agent configs ($47/pack) - [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Get your AI agent running in minutes