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pricing-strategist

Design SaaS pricing tiers and value metrics with willingness-to-pay research methods.

12|2|Updated Jan 27, 2026
Search Tags:#pricing#competitive analysis#saas#willingness-to-pay#value metric#tier design#pricing research
One-click install
npx skills add https://github.com/jikig-ai/soleur --skill pricing-strategist-jikig-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pricing-strategist
Source: https://github.com/jikig-ai/soleur/tree/main/.openhands/skills/pricing-strategist
Command: npx skills add https://github.com/jikig-ai/soleur --skill pricing-strategist-jikig-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps product and pricing teams remove guesswork from SaaS monetization by designing defensible tier structures, selecting value metrics, and producing research-backed price ranges that align price with customer value.

Core Features & Use Cases

  • Pricing research design: Recommend appropriate willingness-to-pay methods (Van Westendorp, Gabor-Granger, MaxDiff, conjoint) with sample sizes and respondent profiles.
  • Tier & value-metric development: Create Good‑Better‑Best tiers with explicit fencing mechanisms and recommend a primary value metric (e.g., API calls, active users, events ingested).
  • Competitive pricing analysis: Produce structured competitor matrices showing tiers, price points, value metrics, and fences for direct comparison.
  • Use Case: For a B2B API product, evaluate candidate value metrics, run a Gabor‑Granger plan to estimate demand by price band, and output fenced tier recommendations plus a competitor comparison table.

Quick Start

Ask the pricing-strategist to evaluate candidate value metrics for my product, propose Good-Better-Best tiers with explicit fences, and recommend price ranges with the preferred willingness-to-pay method and sample size.

Frequently Asked Questions about pricing-strategist

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

FAQPage Schema
How do I design SaaS pricing tiers with explicit fences for a Good-Better-Best model?▼

The best value metric for B2B SaaS monetization is selected by evaluating how well a metric like API calls, active users, or events ingested scales with customer value. It must align price with customer value and support clear fencing mechanisms across pricing tiers.

Which willingness-to-pay method should I use for SaaS pricing research?▼

Willingness-to-pay methods for SaaS pricing research include Van Westendorp, Gabor-Granger, MaxDiff, and conjoint analysis. The appropriate method is recommended alongside specific sample sizes and respondent profiles to estimate demand by price band accurately.

Can I generate a competitive pricing analysis matrix for B2B and product-led SaaS?▼

Yes, structured competitor comparison matrices are generated for B2B and product-led SaaS. These matrices display competitor tiers, price points, value metrics, and fences to enable direct competitive pricing analysis and inform your tier structures.

What is the difference between acquisition and monetization targeting in SaaS pricing?▼

Acquisition targeting in SaaS pricing focuses on lowering entry barriers to drive user growth, while monetization targeting optimizes revenue extraction from existing users. The strategy evaluates both approaches to determine whether price ranges should prioritize volume or revenue maximization.

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