Finance Based Pricing Advisor

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by deanpeters · vlatest · Repository

This AI advises on optimal pricing strategies by leveraging financial data, maximizing revenue and profitability for businesses.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add finance-based-pricing-advisor npx -- -y @trustedskills/finance-based-pricing-advisor
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "finance-based-pricing-advisor": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/finance-based-pricing-advisor"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill evaluates the financial impact of proposed pricing changes for businesses. It uses metrics like ARPU/ARPA, conversion rates, churn risk, Net Revenue Retention (NRR), and Customer Acquisition Cost (CAC) payback to assess whether a price increase, new tier, discount, or other change is financially viable. The tool provides supporting math and risk assessment to inform go/no-go decisions on pricing strategies you've already considered. It does not design comprehensive pricing strategies or conduct market research.

When to use it

  • You are considering a specific pricing change (e.g., raising prices, introducing a new tier).
  • You need to understand the potential revenue impact of a price increase.
  • You want to assess how a pricing change might affect customer churn or conversion rates.
  • You’re evaluating the effect of a discount strategy on unit economics and payback periods.
  • You're considering usage-based pricing or feature bundling/unbundling.

Key capabilities

  • ARPU/ARPA Analysis: Calculates Average Revenue Per User/Account to assess revenue impact.
  • Conversion Impact Assessment: Evaluates how price changes affect trial-to-paid or sales conversion rates.
  • Churn Risk Evaluation: Analyzes the potential for existing customers to leave due to pricing adjustments, considering factors like grandfathering and segment sensitivity.
  • Expansion Impact Analysis: Determines if a change creates or blocks expansion opportunities through new tiers, add-ons, or usage-based models.
  • CAC Payback Impact Calculation: Assesses the effect on unit economics and LTV:CAC ratio.

Example prompts

  • "Evaluate the financial impact of raising our subscription price by 10%."
  • "What is the potential churn risk if we introduce a new premium tier?"
  • "Analyze the revenue impact of offering an annual prepayment discount."
  • “How will bundling features into tiers affect conversion rates?”

Tips & gotchas

  • Requires a specific pricing change in mind: This skill isn't designed to generate pricing strategies from scratch. You need to have a proposed change ready for evaluation.
  • Not a comprehensive solution: It does not cover value-based pricing, willingness-to-pay research, competitive positioning, or packaging architecture.

Tags

🛡️

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Details

Version
vlatest
License
Author
deanpeters
Installs
113

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Passed automated security scans.