pricing_skill
- Python
2
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill pluginagentmarketplace/custom-plugin-product-manager --skill pricing- SKILL.md3.1 KB
Overview
This skill helps product teams design pricing strategies and monetization models for SaaS and digital products. It focuses on value-based pricing, tier design, unit economics, and practical revenue optimization techniques. Use it to align pricing with customer value and business goals.
How this skill works
The skill inspects product value drivers, customer segments, and usage patterns to recommend pricing models (freemium, subscription, usage-based, or hybrid). It provides formulas and diagnostics for LTV, CAC targets, payback periods, and revenue forecasting. It also includes testing approaches like Van Westendorp price sensitivity and A/B experiments to validate assumptions.
When to use it
- Launching a new SaaS product or pricing tiers
- Repricing or introducing upgrades and add-ons
- Evaluating freemium vs paid conversion levers
- Optimizing unit economics and CAC payback
- Modeling revenue forecasts and scenario planning
Best practices
- Start with value-based pricing: quantify customer savings or revenue impact before setting price
- Design clear tiers with strong upgrade paths to drive expansion revenue
- Monitor LTV/CAC and aim for LTV/CAC > 3 and payback < 12 months
- Use price sensitivity surveys and A/B tests before wide rollout
- Align packaging with distinct jobs-to-be-done, not feature lists
Example use cases
- Create a three-tier subscription plan with annual discounts and defined feature sets
- Build a freemium funnel and target a 2–5% free-to-paid conversion uplift via onboarding improvements
- Switch core billing to usage-based pricing for an API product and model per-call economics
- Run Van Westendorp surveys to identify optimal price bands for a new enterprise module
- Diagnose flat revenue by auditing upsell paths and introducing expansion pricing
FAQ
Match pricing to customer value and cost-to-serve: use subscription for predictable access and usage-based when value scales with consumption or costs are variable.
What are the minimum unit-economics checks before scaling?
Ensure gross margin > 70% if possible, LTV/CAC > 3, and payback period under 12 months; validate with cohort-level churn and ARPU.