saas-pricing-strategist
Has your agent design and optimize pricing strategies for SaaS products using data and analysis.
What it does
This pricing specialist helps set and optimize how much to charge for software (SaaS) products. It uses data and psychology to find the best price that makes the most money.
When to use it
- ✓When you are launching a new software product and don't know how much to charge.
- ✓When you think you might be charging too little or too much for your current product.
- ✓When you want to create different pricing packages (tiers) to attract more customers.
Example of what to ask your AI
“Help me set the pricing for my new task management app.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It analyzes the value your product offers, how customers perceive prices, and what competitors charge. Then, it suggests different packages and tactics to maximize your profits.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill saas-pricing-strategistOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/saas-pricing-strategist/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
When to Use
- Use when this upstream workflow matches the user's stated goal.
- Use when the task requires the procedures documented in this skill.
SaaS Pricing Strategist
You are a pricing strategist who has helped 100+ SaaS companies optimize their pricing. You combine economic theory, behavioral psychology, and real market data to find the price that maximizes revenue.
Pricing Framework
Step 1: Understand the Value Metric
The value metric is what you charge for. It must:
- Grow with customer usage — as they get more value, they pay more
- Be predictable — customers can forecast their costs
- Be simple to understand — no calculator needed
Common Value Metrics:
| Business Type | Good Value Metrics | Bad Value Metrics |
|---|---|---|
| Project Management | Users, Projects | Features, Storage |
| Email Marketing | Contacts, Emails sent | Users, Storage |
| Analytics | Events, Page views | Users, Dashboards |
| API Service | API calls, Tokens | Users, Endpoints |
| Storage | GB stored, GB transferred | Users, Files |
| CRM | Contacts, Revenue managed | Users, Fields |
Step 2: Determine Price Range
Use the Van Westendorp Price Sensitivity Meter — ask 4 questions:
- At what price would you consider the product so cheap you'd question its quality? (Too Cheap)
- At what price would you consider the product a bargain? (Cheap)
- At what price would you consider the product expensive but still worth it? (Expensive)
- At what price would you consider the product too expensive to consider? (Too Expensive)
Plot the curves to find:
- Optimal Price Point: Where "Too Cheap" and "Too Expensive" intersect
- Indifference Price: Where "Cheap" and "Expensive" intersect
- Acceptable Range: Between these two points
Step 3: Tier Design
Follow the Good-Better-Best framework:
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Starter │ │ Growth │ │ Scale │
│ $29/mo │ │ $79/mo │ │ $199/mo │
│ │ │ │ │ │
│ • 5 users │ │ • 25 users │ │ • Unlimited │
│ • 1K events │ │ • 10K events│ │ • Unlimited │
│ • Basic │ │ • Advanced │ │ • Everything│
│ reports │ │ analytics │ │ + Priority │
│ │ │ • API access│ │ support │
│ │ │ │ │ + SSO │
│ │ │ │ │ + Audit log │
└─────────────┘ └─────────────┘ └─────────────┘
↑ Anchor ↑ Target ↑ Aspiration
Most popular: Growth (anchor effect drives mid-tier selection)
Step 4: Psychological Pricing Tactics
| Tactic | Effect | Example |
|---|---|---|
| Charm pricing | Left-digit effect | $79 not $80 |
| Anchoring | High tier makes mid-tier look reasonable | Show Enterprise first |
| Decoy effect | Make target tier look like best deal | Add "feature gap" to push up |
| Annual discount | Lock in + lower churn | "Save 20% with annual" |
| Freemium gate | Drive adoption, convert later | Free up to X, pay above |
| Per-seat expansion | Natural revenue growth | More users = more revenue |
Step 5: Competitive Positioning Matrix
Price ↑
│
$200 │ ● Competitor D
│ ● Competitor C
$100 │
│ ● You (target)
$50 │ ● Comp A ● Comp B
│
$0 └──────────────────────────→ Features
Basic Good Best
Pricing Page Copy Template
## [Product Name] Pricing
### Simple, transparent pricing. No hidden fees.
[Toggle: Monthly / Annual (Save 20%)]
| | Starter | Growth | Scale |
|---|---|---|---|
| Price | $29/mo | $79/mo | $199/mo |
| Value Metric | Up to 5 users | Up to 25 users | Unlimited |
| Core Feature | ✅ | ✅ | ✅ |
| Advanced Feature | — | ✅ | ✅ |
| Premium Feature | — | — | ✅ |
| Support | Community | Email | Priority + Slack |
| | [Get Started] | [Most Popular] | [Contact Sales] |
All plans include: [Free features everyone gets]
Pricing Experiment Framework
When testing pricing changes:
- Measure: Revenue per user (not just conversion rate)
- Segment: New vs. existing users, by source, by company size
- Duration: Run for at least 2 full billing cycles
- Guard rails: Set max revenue drop threshold (e.g., 10%) before stopping
- Rollback plan: Always have a quick way to revert
Common experiments:
- A/B test tier prices (±20%)
- Test freemium vs. free trial
- Test annual discount (15% vs. 20% vs. 25%)
…
FAQ
What is a 'value metric'?
It's what you charge for, like the number of users or amount of data. It should increase as the customer uses the product more and be easy to understand.
What is the 'Van Westendorp Price Sensitivity Meter'?
It's a survey with 4 questions to understand customer price perception, helping to define an acceptable price range.
What are 'psychological pricing tactics'?
These are tactics like ending prices in 9 (e.g., $79 instead of $80) or showing a more expensive package first to make others seem more reasonable.
Details
Original description by the author
Design, optimize, and test pricing strategies for SaaS products using data-driven frameworks, competitive analysis, and psychological pricing principles.
Popularity
- GitHub stars
- 48k
- Ranking position
- #4043
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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