mohitagw15856/pricing-strategy

Pricing Strategy Skill

Build pricing that reflects value delivered — not cost to build. Structure every pricing decision with customer segmentation, value metric identification, competitive context, and a packaging recommendation.

Pricing Foundations

Three questions to answer before any pricing decision:

1. Who is our buyer? (Role, company size, willingness to pay)
2. What value do we deliver? (Quantifiable outcome — time saved, revenue generated, risk reduced)
3. What is our pricing model? (Per seat, usage-based, flat, hybrid)

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Pricing Models

| Model | Best For | Risk | |---|---|---| | Per Seat | Collaboration tools, team software | Disincentivises adoption as team grows | | Usage-Based | APIs, infrastructure, consumption tools | Revenue unpredictability for both sides | | Flat Rate | Simple tools, early-stage | Leaves money on table from power users | | Tiered | Products with clear user segments | Feature gatekeeping frustrates users | | Freemium | Viral/PLG products with low marginal cost | Conversion to paid is hard to engineer | | Value-Based | Enterprise, outcomes-driven products | Requires strong ROI story |

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Freemium Decision Framework

Use freemium when:

• ✅ Marginal cost per free user is near zero
• ✅ Product is inherently viral (network effects or sharing)
• ✅ Free tier creates genuine value (not just a demo)
• ✅ Clear upgrade trigger exists (feature, volume, or team size)
• ✅ Conversion benchmark is realistic (2–5% free-to-paid is typical)

Avoid freemium when:

• ❌ Support cost per free user is high
• ❌ No natural upgrade trigger in the product
• ❌ Core value requires features you'd need to gate

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Packaging / Tiering Framework

Recommended 3-tier structure for SaaS:

| Tier | Target | Price Signal | Key Features | Lock-in Mechanism | |---|---|---|---|---| | Free / Starter | Individual, early discovery | $0 | Core value, usage-limited | Invite colleagues, export limit | | Pro / Growth | SMB, growing teams | $[X]/seat/mo | Full features, higher limits | Team collaboration, integrations | | Business / Enterprise | Mid-market, enterprise | $[X]/seat/mo or custom | Admin, SSO, SLAs, dedicated support | Security, compliance, volume |

Tier design rules:

• Each tier should be genuinely sufficient for its target segment
• The upgrade trigger should be felt naturally — not manufactured
• Price jumps of 3–5x between tiers are normal and defensible

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Competitive Pricing Context

| Competitor | Model | Price | Key Differentiator | |---|---|---|---| | [Name] | [Model] | [Price] | [What they lead with] |

Positioning options:

• Premium: Price 20–40% above market. Justify with enterprise features, support, or brand.
• Parity: Match the market leader. Win on product or distribution.
• Value: Price below market. Win on volume. Dangerous without strong unit economics.

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Output Format

Pricing Strategy Recommendation — [Product] — [Date]

Current State: [What pricing exists today, if any] Problem to Solve: [Why pricing is being reviewed]

Recommended Pricing Model: [Model name + rationale]

Value Metric: [The single unit that scales with customer value — e.g., "active users", "API calls", "documents processed"]

Proposed Tiers:

[Table using 3-tier structure above]

Free-to-Paid Upgrade Trigger: [Specific moment or threshold that creates natural upgrade pressure]

Competitive Position: [Premium / Parity / Value + reasoning]

Pricing Change Rollout (if applicable):

• Grandfathering: [Yes / No — recommendation and rationale]
• Communication plan: [How to tell customers + timing]
• Rollback plan: [Under what conditions you'd revert]

Risks:

• [Risk] → Mitigation: [Action]

Metrics to Monitor Post-Change:

• Conversion rate (free to paid)
• Churn rate by tier
• Average revenue per user (ARPU)
• Expansion revenue

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Required Inputs

Ask the user for these if not provided:

• Product or service being priced
• Current pricing (if any — and why it's being reviewed)
• Target customer segments (size, role, willingness to pay)
• Key competitors and their pricing (if known)
• Business model (SaaS / Marketplace / Usage-based / Other)
• Primary goal (grow adoption / increase ARPU / reduce churn / new market entry)

Quality Checks

• [ ] Value metric is defined (the unit that scales with customer value)
• [ ] Free-to-paid upgrade trigger is specific (not "when they need more")
• [ ] Competitive positioning is chosen and justified (premium / parity / value)
• [ ] Pricing change rollout plan includes grandfathering decision
• [ ] Counter-metrics are defined to catch perverse incentives
• [ ] Risks have specific mitigations (not just listed)

Guidelines

• Never price based on cost — price based on value delivered to the customer
• Always A/B test price changes where possible; use geographic holdouts if A/B isn't feasible
• Recommend annual pricing with 15–20% discount — improves cash flow and reduces churn
• If enterprise pricing is "contact us", recommend adding a price floor to qualify inbound