domains / business / pricing-strategy / pricing-strategy
The four skills overlap on core pricing concepts (value metrics, tier design, anchoring, Van Westendorp) but each contains material steps or constraints the others lack. phuryn includes a specific output template and competitive mapping steps; kostja94 adds variable-cost product logic and cross-references to discount/page skills; RefoundAI focuses on WTP validation, incentive-compatible research, and iteration cadence; LeoYeAI adds price-increase triggers, MaxDiff, and pricing page best practices. Crowning one would hide these distinct approaches and constraints.
| Repository | Path |
|---|---|
| phuryn/pm-skills | pm-product-strategy/skills/pricing-strategy/SKILL.md |
| kostja94/marketing-skills | skills/strategies/commercial/pricing/pricing-strategy/SKILL.md |
| RefoundAI/lenny-skills | skills/pricing-strategy/SKILL.md |
| LeoYeAI/openclaw-marketing-skills | skills/pricing-strategy/SKILL.md |
| Role | Repository | Path |
|---|---|---|
| peer | phuryn/pm-skills | pm-product-strategy/skills/pricing-strategy/SKILL.md |
| peer | kostja94/marketing-skills | skills/strategies/commercial/pricing/pricing-strategy/SKILL.md |
| peer | RefoundAI/lenny-skills | skills/pricing-strategy/SKILL.md |
| peer | LeoYeAI/openclaw-marketing-skills | skills/pricing-strategy/SKILL.md |
| inferior | LeoYeAI/openclaw-master-skills | skills/marketing-skills/references/pricing-strategy/SKILL.md |
| inferior | sickn33/agentic-awesome-skills | plugins/agentic-awesome-skills-claude/skills/pricing-strategy/SKILL.md |
| adapter | sickn33/agentic-awesome-skills | plugins/agentic-awesome-skills/skills/pricing-strategy/SKILL.md |
| adapter | sickn33/agentic-awesome-skills | plugins/agentic-bundle-aas-saas-launch-revenue/skills/pricing-strategy/SKILL.md |
| adapter | sickn33/agentic-awesome-skills | skills/pricing-strategy/SKILL.md |
| adapter | LeoYeAI/openclaw-master-skills | skills/pricing-strategy/SKILL.md |
# Pricing Strategy ## 1. Context & Assessment - Read any provided files (competitor data, surveys, financials) or project context files (e.g., `contextus.md`, `.agents/product-marketing-context.md`). - Identify product type, target market, go-to-market motion, and current performance (conversion, ARPU, churn). - Determine the primary value delivered and the customer's next best alternative. ## 2. Value Metric Selection - Define the core unit of value that scales with customer success (e.g., seats, usage, transactions). - Ensure the metric is easy to understand, hard to game, and aligns price with value. - For variable-cost products (compute, AI), align pricing to cost structure (usage-based or credits) if per-user cost varies widely. ## 3. Pricing Model & Tiers - Select a model: Flat, Per-seat, Usage-based, Tiered, Freemium, or Hybrid. - Design 2-4 tiers (Good-Better-Best) with clear differentiation via features, limits, or support. - Use feature gating based on value, not arbitrary limits. ## 4. Competitive & WTP Analysis - Map competitor pricing tiers and identify positioning (premium, mid-market, budget). - Estimate willingness to pay using Van Westendorp or incentive-compatible methods to avoid hypothetical bias. - Focus on the correct order of magnitude before fine-tuning exact dollar amounts. ## 5. Anchoring & Presentation - Set the 'Most Popular' tier as the anchor. - Apply an annual discount (typically 15-25%) to improve cash flow. - Use decoy effects and clear price displays (monthly vs. annual). ## 6. Iteration & Optimization - Plan A/B tests for pricing pages and tier names. - Establish a cadence (every 6-12 months) to revisit pricing as the product matures. - Monitor signals for price increases (high conversion, low churn, competitor moves). ## Output - Recommended Model and Value Metric. - Tier structure table (Price, Segment, Features, Positioning). - Key assumptions and risks with mitigation strategies. - Pricing page recommendations (if applicable).