pricing

Designs SaaS pricing strategies, tier structures, and pricing page teardowns.

Updated Aug 3, 2026
One-click install
npx skills add https://github.com/Yvesdefaria/GymLab --skill pricing-yvesdefaria
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pricing
Source: https://github.com/Yvesdefaria/GymLab/tree/main/.opencode/skills/marketingskills/skills/pricing
Command: npx skills add https://github.com/Yvesdefaria/GymLab --skill pricing-yvesdefaria

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Deciding what to charge, how to package plans, and how to structure monetization is one of the hardest SaaS decisions, and mistakes like ultra-low launch prices or poorly differentiated tiers are expensive to reverse. This Skill provides structured frameworks for pricing decisions, price increases, willingness-to-pay research, and pricing page audits. ## Core Features & Use Cases - Pricing Strategy Design: Applies the three pricing axes (packaging, pricing metric, price point), value metrics, and the $10/$100/$1,000 initial-pricing rule to recommend concrete prices and structures. - Tier & Packaging Guidance: Uses good-better-best frameworks, persona-based packaging, and freemium vs. free trial analysis to structure plans. - Pricing Research Methods: Provides Van Westendorp, MaxDiff, Gabor-Granger, and usage-value correlation methods to measure willingness to pay. - Pricing Page Teardown: Scores a live pricing page across 10 dimensions covering human buyer experience and AI-agent readiness, with prioritized fixes. - Use Case: A founder launching an AI writing tool asks what to charge on day one; the Skill warns against the $9 trap, buckets the product near $10/month, and recommends a credit-based or usage-based model. ## Quick Start Ask the assistant to help you decide what to charge for your SaaS product, including the pricing metric, tier structure, and price points.

Frequently Asked Questions about pricing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I decide what to charge for a new SaaS product?

Start with the $10/$100/$1,000 rule of thumb based on who your customer is, then pick a round number you can learn from rather than optimizing prematurely. Avoid ultra-low prices like $9/month, which create false traction and attract high-churn customers.

What pricing metric should I use for my SaaS product?

Choose a value metric that scales with the value customers receive, such as per user for collaboration tools, per usage for variable consumption, or per transaction for payments. Ask whether customers get more value as they use more of the metric; if yes, it aligns price with value.

How do I raise SaaS prices without losing customers?

Test the new price on new customers first, then roll out to 5-10% of existing customers in staggered waves while monitoring churn. Communicate the reason months in advance and soften the change with annual-plan lock-ins or grace periods rather than permanent grandfathering.

What is the Van Westendorp pricing method?

Van Westendorp is a survey method using four price-sensitivity questions (too expensive, too cheap, expensive but acceptable, bargain) to identify an acceptable price range. Plotting cumulative distributions reveals the optimal price point and the acceptable range between marginal cheapness and expensiveness.

Should I offer a freemium plan or a free trial?

Freemium works when the product has network effects, low marginal cost per free user, and clear upgrade triggers. Free trials fit products needing time to demonstrate value, higher price points, or B2B buying committees; 7-14 days suits simple products and 14-30 days suits complex ones.

Can AI tools like ChatGPT read my pricing page?

Often not, if prices are locked in images, rendered only by JavaScript, or hidden behind Contact us forms. Run the paste test by giving the URL to a browsing-capable AI and asking for plans and prices; fixes include text-based prices and Product/Offer structured data.