pricing-strategy

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

23 stars

Best use case

pricing-strategy is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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

Teams using pricing-strategy should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/pricing-strategy/SKILL.md --create-dirs "https://raw.githubusercontent.com/christophacham/agent-skills-library/main/skills/design/pricing-strategy/SKILL.md"

Manual Installation

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

How pricing-strategy Compares

Feature / Agentpricing-strategyStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

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

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

| Method        | Use Case                    |
| ------------- | --------------------------- |
| Direct WTP    | Directional only            |
| Gabor-Granger | Demand curve                |
| Conjoint      | Feature + 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

| Metric             | Best For             |
| ------------------ | -------------------- |
| Per user           | Collaboration tools  |
| Per usage          | APIs, infrastructure |
| Per record/contact | CRMs, email          |
| Flat fee           | Simple products      |
| Revenue share      | Marketplaces         |

### Validation Test

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

If not → metric is misaligned.

---

## 6. Tier Design

### Number of Tiers

| Count | When to Use                    |
| ----- | ------------------------------ |
| 2     | Simple segmentation            |
| 3     | Default (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

## When to Use
This skill is applicable to execute the workflow or actions described in the overview.

Related Skills

free-tool-strategy

23
from christophacham/agent-skills-library

When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as mar...

outline

23
from christophacham/agent-skills-library

Search, read, and manage Outline wiki documents. Use when: (1) searching wiki for documentation, (2) reading wiki pages or articles, (3) listing wiki collections or documents, (4) creating or updating wiki content, (5) exporting documents as markdown. Works with any Outline wiki instance (self-hosted or cloud).

os-scripting

23
from christophacham/agent-skills-library

Operating system and shell scripting troubleshooting workflow for Linux, macOS, and Windows. Covers bash scripting, system administration, debugging, and automation.

nx-ci-monitor

23
from christophacham/agent-skills-library

Monitor Nx Cloud CI pipeline status and handle self-healing fixes automatically. Use when user says "watch CI", "monitor pipeline", "check CI status", "fix CI failures", or "self-heal CI". Requires Nx Cloud connection. Do NOT use for local task execution (use nx-run-tasks) or general CI debugging outside Nx Cloud.

netlify-deploy

23
from christophacham/agent-skills-library

Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys. Do NOT use for deploying to Vercel, Cloudflare, or Render (use their respective skills).

multi-cloud-architecture

23
from christophacham/agent-skills-library

Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveragin...

log-analyzer

23
from christophacham/agent-skills-library

全维度日志分析技能。自动识别日志类型(Java应用/MySQL Binlog/Nginx/Trace/告警),提取关键实体(IP、thread_id、trace_id、用户、表名等),进行根因定位、告警分析、异常洞察。支持100M+大文件。触发词:分析日志、日志排查、根因定位、告警分析、异常分析。

linux-troubleshooting

23
from christophacham/agent-skills-library

Linux system troubleshooting workflow for diagnosing and resolving system issues, performance problems, and service failures.

linux-shell-scripting

23
from christophacham/agent-skills-library

This skill should be used when the user asks to "create bash scripts", "automate Linux tasks", "monitor system resources", "backup files", "manage users", or "write production she...

lamindb

23
from christophacham/agent-skills-library

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

kubernetes-deployment

23
from christophacham/agent-skills-library

Kubernetes deployment workflow for container orchestration, Helm charts, service mesh, and production-ready K8s configurations.

kubernetes-architect

23
from christophacham/agent-skills-library

Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration.