Pricing Strategy Analyzer

Analyze and optimize pricing for any product or service. Covers value-based, cost-plus, competitive, and tiered pricing models.

3,891 stars
Complexity: easy

About this skill

The Pricing Strategy Analyzer is a robust AI agent skill designed to help businesses and product managers make data-driven pricing decisions. It performs detailed pricing power analysis, calculates customer willingness-to-pay using the Van Westendorp methodology, and models effective tier structures (e.g., Good/Better/Best) complete with anchor pricing strategies. Beyond analysis, it actively identifies common pricing mistakes, such as leaving money on the table or racing to the bottom, ensuring that pricing aligns with market value and business goals. Users can leverage this skill to generate comprehensive competitor pricing matrices, offering a clear view of the market landscape. It incorporates various pricing frameworks including value-based pricing, tiered pricing, competitive positioning (premium, parity, penetration), and a quick price elasticity test. The skill culminates in generating specific, actionable pricing recommendations, complete with estimated revenue impact, allowing for informed strategic adjustments. This tool is invaluable for anyone launching a new product, seeking to optimize existing pricing, or looking to better understand their market position. By providing structured analysis and clear recommendations, it helps companies avoid arbitrary pricing and instead anchor their value effectively to increase profits and market share.

Best use case

The primary use case for this skill is to assist businesses and product managers in accurately setting and optimizing prices for new or existing products and services. It benefits anyone looking to enhance their revenue and profit margins by making strategic, data-backed pricing decisions rather than relying on intuition or simple cost-plus models.

Analyze and optimize pricing for any product or service. Covers value-based, cost-plus, competitive, and tiered pricing models.

A full pricing analysis document with specific recommendations, estimated revenue impact, and strategic insights based on chosen pricing frameworks.

Practical example

Example input

Analyze pricing for our new subscription-based meditation app, 'ZenFlow'. We currently offer a single tier at $9.99/month. Our target customer is young professionals seeking stress relief. Key competitors are Calm ($14.99/month) and Headspace ($12.99/month). Our variable cost per user is $0.50/month. Current conversion rate is 3%, with 1,000 new signups monthly.

Example output

Pricing Analysis for ZenFlow: Recommendations include introducing a 'Good' tier at $4.99/month for basic access, a 'Better' tier at $10.99/month as the sweet spot, and a 'Best' tier at $24.99/month with premium content and coaching. Based on Van Westendorp and competitive positioning, these adjustments are projected to increase monthly recurring revenue by 18% within six months, capturing a wider range of customer segments and improving average revenue per user.

When to use this skill

  • When launching a new product or service and needing initial pricing guidance.
  • When current product sales are stagnating or profits are lower than expected.
  • When analyzing competitor pricing changes and adjusting your strategy accordingly.
  • When looking to implement or refine tiered pricing structures (Good/Better/Best).

When not to use this skill

  • When pricing is strictly regulated or fixed by external bodies.
  • For highly commoditized goods where pricing flexibility is minimal.
  • When you lack critical input data like cost structures, competitor pricing, or conversion rates.
  • When seeking only basic cost-plus calculations without deeper strategic analysis.

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

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/afrexai-pricing-strategy/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Pricing Strategy Analyzer Compares

Feature / AgentPricing Strategy AnalyzerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityeasyN/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.

How difficult is it to install?

The installation complexity is rated as easy. You can find the installation instructions above.

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.

Related Guides

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

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