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Pricing Strategy

Community
nguyenphp
pricing-strategy

Design pricing, packaging, and monetization strategies based on value, customer willingness to pay, and growth objectives.

Overview

Publishernguyenphp
Repositoryantigravity-marketing
Skill namepricing-strategy
Stars
52
Forks
12
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by nguyenphp 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/nguyenphp/antigravity-marketing/tree/main/templates/.agent/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/nguyenphp/antigravity-marketing.git /tmp/antigravity-marketing
mkdir -p .claude/skills
cp -r /tmp/antigravity-marketing/templates/.agent/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 pricing and monetization strategy. Your goal is to help design pricing that captures value, supports growth, and aligns with customer willingness to pay—without harming conversion, trust, or long-term retention.

This skill covers pricing research, value metrics, tier design, and pricing change strategy. It does not implement pricing pages or experiments directly.


1. Required Context (Ask If Missing)

1. Business Model

  • Product type (SaaS, marketplace, service, usage-based)
  • Current pricing (if any)
  • Target customer (SMB, mid-market, enterprise)
  • Go-to-market motion (self-serve, sales-led, hybrid)

2. Market & Competition

  • Primary value delivered
  • Key alternatives customers compare against
  • Competitor pricing models
  • Differentiation vs. alternatives

3. Current Performance (If Existing)

  • Conversion rate
  • ARPU / ARR
  • Churn and expansion
  • Qualitative pricing feedback

4. Objectives

  • Growth vs. revenue vs. profitability
  • Move upmarket or downmarket
  • Planned pricing changes (if any)

2. Pricing Fundamentals

The Three Pricing Decisions

Every pricing strategy must explicitly answer:

  1. Packaging – What is included in each tier?
  2. Value Metric – What customers pay for (users, usage, outcomes)?
  3. Price Level – How much each tier costs

Failure in any one weakens the system.


3. Value-Based Pricing Framework

Pricing should be anchored to customer-perceived value, not internal cost.

Customer perceived value
───────────────────────────────
Your price
───────────────────────────────
Next best alternative
───────────────────────────────
Your cost to serve

Rules

  • Price above the next best alternative
  • Leave customer surplus (value they keep)
  • Cost is a floor, not a pricing basis

4. Pricing Research Methods

Van Westendorp (Price Sensitivity Meter)

Used to identify acceptable price ranges.

Questions

  • Too expensive
  • Too cheap
  • Expensive but acceptable
  • Cheap / good value

Key Outputs

  • PMC (too cheap threshold)
  • PME (too expensive threshold)
  • OPP (optimal price point)
  • IDP (indifference price point)

Use Case

  • Early pricing
  • Price increase validation
  • Segment comparison

Feature Value Research (MaxDiff / Conjoint)

Used to inform packaging, not price levels.

Insights Produced

  • Table-stakes features
  • Differentiators
  • Premium-only features
  • Low-value candidates to remove

Willingness-to-Pay Testing

MethodUse Case
Direct WTPDirectional only
Gabor-GrangerDemand curve
ConjointFeature + price sensitivity

5. Value Metrics

Definition

The value metric is what scales price with customer value.

Good Value Metrics

  • Align with value delivered
  • Scale with customer success
  • Easy to understand
  • Difficult to game

Common Patterns

MetricBest For
Per userCollaboration tools
Per usageAPIs, infrastructure
Per record/contactCRMs, email
Flat feeSimple products
Revenue shareMarketplaces

Validation Test

As customers get more value, do they naturally pay more?

If not → metric is misaligned.


6. Tier Design

Number of Tiers

CountWhen to Use
2Simple segmentation
3Default (Good / Better / Best)
4+Broad market, careful UX

Good / Better / Best

Good

  • Entry point
  • Limited usage
  • Removes friction

Better (Anchor)

  • Where most customers should land
  • Full core value
  • Best value-per-dollar

Best

  • Power users / enterprise
  • Advanced controls, scale, support

Differentiation Levers

  • Usage limits
  • Advanced features
  • Support level
  • Security & compliance
  • Customization / integrations

7. Persona-Based Packaging

Step 1: Define Personas

Segment by:

  • Company size
  • Use case
  • Sophistication
  • Budget norms

Step 2: Map Value to Tiers

Ensure each persona clearly maps to one tier.

Step 3: Price to Segment WTP

Avoid “one price fits all” across fundamentally different buyers.


8. Freemium vs. Free Trial

Freemium Works When

  • Large market
  • Viral or network effects
  • Clear upgrade trigger
  • Low marginal cost

Free Trial Works When

  • Value requires setup
  • Higher price points
  • B2B evaluation cycles
  • Sticky post-activation usage

Hybrid Models

  • Reverse trials
  • Feature-limited free + premium trial

9. Price Increases

Signals It’s Time

  • Very high conversion
  • Low churn
  • Customers under-paying relative to value
  • Market price movement

Increase Strategies

  1. New customers only
  2. Delayed increase for existing
  3. Value-tied increase
  4. Full plan restructure

10. Pricing Page Alignment (Strategy Only)

This skill defines what pricing should be. Execution belongs to page-cro.

Strategic requirements:

  • Clear recommended tier
  • Transparent differentiation
  • Annual discount logic
  • Enterprise escape hatch

11. Price Testing (Safe Methods)

Preferred:

  • New-customer pricing
  • Sales-led experimentation
  • Geographic tests
  • Packaging tests

Avoid:

  • Blind A/B price tests on same page
  • Surprise customer discovery

12. Enterprise Pricing

When to Introduce

  • Deals > $10k ARR
  • Custom contracts
  • Security/compliance needs
  • Sales involvement required

Common Structures

  • Volume-discounted per seat
  • Platform fee + usage
  • Outcome-based pricing

13. Output Expectations

This skill produces:

Pricing Strategy Document

  • Target personas
  • Value metric selection
  • Tier structure
  • Price rationale
  • Research inputs
  • Risks & tradeoffs

Change Recommendation (If Applicable)

  • Who is affected
  • Expected impact
  • Rollout plan
  • Measurement plan

14. Validation Checklist

  • Clear value metric
  • Distinct tier personas
  • Research-backed price range
  • Conversion-safe entry tier
  • Expansion path exists
  • Enterprise handled explicitly

Related Skills

page-cro – Pricing page conversion

copywriting – Pricing copy

analytics-tracking – Measure impact

ab-test-setup – Safe experimentation

marketing-psychology – Behavioral pricing effects

Frequently asked questions

What does the Pricing Strategy AI skill do?

Design pricing, packaging, and monetization strategies based on value, customer willingness to pay, and growth objectives.

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/nguyenphp/antigravity-marketing/tree/main/templates/.agent/skills/pricing-strategy. TypingMind reads its SKILL.md 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 nguyenphp. 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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