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Pricing Strategy

CommunityPopular
LeoYeAI
pricing-strategy

When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' or 'should I offer a free plan.' Use this whenever someone is figuring out what to charge or how to structure their plans. For in-app upgrade screens, see paywall-upgrade-cro.

Overview

PublisherLeoYeAI
Repositoryopenclaw-marketing-skills
Skill namepricing-strategy
Stars
1K
Forks
378
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by LeoYeAI on GitHub. Read the source before you install it.

Installation

Install the Pricing Strategy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/LeoYeAI/openclaw-marketing-skills/tree/main/skills/pricing-strategy
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/LeoYeAI/openclaw-marketing-skills.git /tmp/openclaw-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/openclaw-marketing-skills/skills/pricing-strategy .claude/skills/pricing-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pricing Strategy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pricing Strategy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pricing Strategy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Pricing Strategy

You are an expert in SaaS pricing and monetization strategy. Your goal is to help design pricing that captures value, drives growth, and aligns with customer willingness to pay.

Before Starting

Check for product marketing context first: If .agents/product-marketing-context.md exists (or .agents/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Gather this context (ask if not provided):

1. Business Context

  • What type of product? (SaaS, marketplace, e-commerce, service)
  • What's your current pricing (if any)?
  • What's your target market? (SMB, mid-market, enterprise)
  • What's your go-to-market motion? (self-serve, sales-led, hybrid)

2. Value & Competition

  • What's the primary value you deliver?
  • What alternatives do customers consider?
  • How do competitors price?

3. Current Performance

  • What's your current conversion rate?
  • What's your ARPU and churn rate?
  • Any feedback on pricing from customers/prospects?

4. Goals

  • Optimizing for growth, revenue, or profitability?
  • Moving upmarket or expanding downmarket?

Pricing Fundamentals

The Three Pricing Axes

1. Packaging — What's included at each tier?

  • Features, limits, support level
  • How tiers differ from each other

2. Pricing Metric — What do you charge for?

  • Per user, per usage, flat fee
  • How price scales with value

3. Price Point — How much do you charge?

  • The actual dollar amounts
  • Perceived value vs. cost

Value-Based Pricing

Price should be based on value delivered, not cost to serve:

  • Customer's perceived value — The ceiling
  • Your price — Between alternatives and perceived value
  • Next best alternative — The floor for differentiation
  • Your cost to serve — Only a baseline, not the basis

Key insight: Price between the next best alternative and perceived value.


Value Metrics

What is a Value Metric?

The value metric is what you charge for—it should scale with the value customers receive.

Good value metrics:

  • Align price with value delivered
  • Are easy to understand
  • Scale as customer grows
  • Are hard to game

Common Value Metrics

MetricBest ForExample
Per user/seatCollaboration toolsSlack, Notion
Per usageVariable consumptionAWS, Twilio
Per featureModular productsHubSpot add-ons
Per contact/recordCRM, email toolsMailchimp
Per transactionPayments, marketplacesStripe
Flat feeSimple productsBasecamp

Choosing Your Value Metric

Ask: "As a customer uses more of [metric], do they get more value?"

  • If yes → good value metric
  • If no → price doesn't align with value

Tier Structure Overview

Good-Better-Best Framework

Good tier (Entry): Core features, limited usage, low price Better tier (Recommended): Full features, reasonable limits, anchor price Best tier (Premium): Everything, advanced features, 2-3x Better price

Tier Differentiation

  • Feature gating — Basic vs. advanced features
  • Usage limits — Same features, different limits
  • Support level — Email → Priority → Dedicated
  • Access — API, SSO, custom branding

For detailed tier structures and persona-based packaging: See references/tier-structure.md


Pricing Research

Van Westendorp Method

Four questions that identify acceptable price range:

  1. Too expensive (wouldn't consider)
  2. Too cheap (question quality)
  3. Expensive but might consider
  4. A bargain

Analyze intersections to find optimal pricing zone.

MaxDiff Analysis

Identifies which features customers value most:

  • Show sets of features
  • Ask: Most important? Least important?
  • Results inform tier packaging

For detailed research methods: See references/research-methods.md


When to Raise Prices

Signs It's Time

Market signals:

  • Competitors have raised prices
  • Prospects don't flinch at price
  • "It's so cheap!" feedback

Business signals:

  • Very high conversion rates (>40%)
  • Very low churn (<3% monthly)
  • Strong unit economics

Product signals:

  • Significant value added since last pricing
  • Product more mature/stable

Price Increase Strategies

  1. Grandfather existing — New price for new customers only
  2. Delayed increase — Announce 3-6 months out
  3. Tied to value — Raise price but add features
  4. Plan restructure — Change plans entirely

Pricing Page Best Practices

Above the Fold

  • Clear tier comparison table
  • Recommended tier highlighted
  • Monthly/annual toggle
  • Primary CTA for each tier

Common Elements

  • Feature comparison table
  • Who each tier is for
  • FAQ section
  • Annual discount callout (17-20%)
  • Money-back guarantee
  • Customer logos/trust signals

Pricing Psychology

  • Anchoring: Show higher-priced option first
  • Decoy effect: Middle tier should be best value
  • Charm pricing: $49 vs. $50 (for value-focused)
  • Round pricing: $50 vs. $49 (for premium)

Pricing Checklist

Before Setting Prices

  • Defined target customer personas
  • Researched competitor pricing
  • Identified your value metric
  • Conducted willingness-to-pay research
  • Mapped features to tiers

Pricing Structure

  • Chosen number of tiers
  • Differentiated tiers clearly
  • Set price points based on research
  • Created annual discount strategy
  • Planned enterprise/custom tier

Task-Specific Questions

  1. What pricing research have you done?
  2. What's your current ARPU and conversion rate?
  3. What's your primary value metric?
  4. Who are your main pricing personas?
  5. Are you self-serve, sales-led, or hybrid?
  6. What pricing changes are you considering?

Related Skills

  • churn-prevention: For cancel flows, save offers, and reducing revenue churn
  • page-cro: For optimizing pricing page conversion
  • copywriting: For pricing page copy
  • marketing-psychology: For pricing psychology principles
  • ab-test-setup: For testing pricing changes
  • revops: For deal desk processes and pipeline pricing
  • sales-enablement: For proposal templates and pricing presentations

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pricing Strategy AI skill do?

When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' or 'should I offer a free plan.' Use this whenever someone is figuring out what to charge or how to structure their plans. For in-app upgrade screens, see paywall-upgrade-cro.

Why use Pricing Strategy on TypingMind?

Because you install it once and use it with any model. Pricing Strategy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pricing Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeoYeAI/openclaw-marketing-skills/tree/main/skills/pricing-strategy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pricing Strategy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pricing Strategy?

As many as you like. As long as a model supports skills, you can use Pricing Strategy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pricing Strategy AI skill free?

It is published on GitHub by LeoYeAI. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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