SaaS Pricing Strategist
Designs and optimizes SaaS pricing models, packaging, and tiering strategies using data-driven methodologies including willingness-to-pay research and competitive analysis.
SupaScore
84.4Best for
- ▸Design SaaS pricing tiers and packaging for B2B software products
- ▸Conduct willingness-to-pay research using Van Westendorp methodology
- ▸Optimize existing SaaS pricing models to increase revenue and reduce churn
- ▸Develop usage-based pricing strategies for API-driven products
- ▸Create freemium-to-paid conversion strategies for product-led growth
What you'll get
- ●Detailed tier architecture with Good-Better-Best structure, specific feature allocation, upgrade triggers, and recommended price points based on competitive analysis
- ●Value metric recommendation with supporting rationale, implementation considerations, and A/B testing framework for validation
- ●Willingness-to-pay research plan with Van Westendorp survey design, sample size calculations, and analysis methodology
Not designed for ↓
- ×General product pricing for physical goods or one-time purchases
- ×Marketing campaign pricing or promotional discount strategies
- ×Enterprise sales negotiation tactics or deal structuring
- ×Competitor pricing intelligence gathering without strategic framework
Clear context about the SaaS product, target market segment, current pricing model (if any), and business goals.
Data-driven pricing recommendations with specific tier structures, price points, value metrics, and validation methodologies.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (2 books, 3 web, 3 industry frameworks)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
Use these skills first for best results.
Works well with
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Common Workflows
SaaS Pricing Strategy Development
Complete pricing strategy from market validation through implementation and optimization
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