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:
- Who is our buyer? (Role, company size, willingness to pay)
- What value do we deliver? (Quantifiable outcome — time saved, revenue generated, risk reduced)
- What is our pricing model? (Per seat, usage-based, flat, hybrid)
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 |
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
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
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.
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
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)
Deeper Materials
references/model-selection.md — the model-selection decision tree and the regrets table from each model's veterans
Quality Checks
Anti-Patterns
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
1---2name: pricing-strategy3description: Structure pricing strategy decisions, packaging options, and tier design for SaaS and digital products. Use when reviewing or setting pricing, designing pricing tiers, evaluating freemium vs paid, or preparing a pricing change. Produces a pricing strategy recommendation with model rationale, tier structure, competitive positioning, and rollout plan.4---5
6# Pricing Strategy Skill
7
8Build 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.
9
10## Pricing Foundations
11
12Three questions to answer before any pricing decision:
131. **Who is our buyer?** (Role, company size, willingness to pay)
142. **What value do we deliver?** (Quantifiable outcome — time saved, revenue generated, risk reduced)
153. **What is our pricing model?** (Per seat, usage-based, flat, hybrid)
16
17---
18
19## Pricing Models
20
21| Model | Best For | Risk |
22|---|---|---|
23| **Per Seat** | Collaboration tools, team software | Disincentivises adoption as team grows |
24| **Usage-Based** | APIs, infrastructure, consumption tools | Revenue unpredictability for both sides |
25| **Flat Rate** | Simple tools, early-stage | Leaves money on table from power users |
26| **Tiered** | Products with clear user segments | Feature gatekeeping frustrates users |
27| **Freemium** | Viral/PLG products with low marginal cost | Conversion to paid is hard to engineer |
28| **Value-Based** | Enterprise, outcomes-driven products | Requires strong ROI story |
29
30---
31
32## Freemium Decision Framework
33
34Use freemium when:
35- ✅ Marginal cost per free user is near zero
36- ✅ Product is inherently viral (network effects or sharing)
37- ✅ Free tier creates genuine value (not just a demo)
38- ✅ Clear upgrade trigger exists (feature, volume, or team size)
39- ✅ Conversion benchmark is realistic (2–5% free-to-paid is typical)
40
41Avoid freemium when:
42- ❌ Support cost per free user is high
43- ❌ No natural upgrade trigger in the product
44- ❌ Core value requires features you'd need to gate
45
46---
47
48## Packaging / Tiering Framework
49
50Recommended 3-tier structure for SaaS:
51
52| Tier | Target | Price Signal | Key Features | Lock-in Mechanism |
53|---|---|---|---|---|
54| **Free / Starter** | Individual, early discovery | $0 | Core value, usage-limited | Invite colleagues, export limit |
55| **Pro / Growth** | SMB, growing teams | $[X]/seat/mo | Full features, higher limits | Team collaboration, integrations |
56| **Business / Enterprise** | Mid-market, enterprise | $[X]/seat/mo or custom | Admin, SSO, SLAs, dedicated support | Security, compliance, volume |
57
58Tier design rules:
59- Each tier should be genuinely sufficient for its target segment
60- The upgrade trigger should be felt naturally — not manufactured
61- Price jumps of 3–5x between tiers are normal and defensible
62
63---
64
65## Competitive Pricing Context
66
67| Competitor | Model | Price | Key Differentiator |
68|---|---|---|---|
69| [Name] | [Model] | [Price] | [What they lead with] |
70
71Positioning options:
72- **Premium:** Price 20–40% above market. Justify with enterprise features, support, or brand.
73- **Parity:** Match the market leader. Win on product or distribution.
74- **Value:** Price below market. Win on volume. Dangerous without strong unit economics.
75
76---
77
78## Output Format
79
80### Pricing Strategy Recommendation — [Product] — [Date]
81
82**Current State:** [What pricing exists today, if any]
83**Problem to Solve:** [Why pricing is being reviewed]
84
85**Recommended Pricing Model:** [Model name + rationale]
86
87**Value Metric:** [The single unit that scales with customer value — e.g., "active users", "API calls", "documents processed"]
88
89**Proposed Tiers:**
90
91[Table using 3-tier structure above]
92
93**Free-to-Paid Upgrade Trigger:** [Specific moment or threshold that creates natural upgrade pressure]
94
95**Competitive Position:** [Premium / Parity / Value + reasoning]
96
97**Pricing Change Rollout (if applicable):**
98- Grandfathering: [Yes / No — recommendation and rationale]
99- Communication plan: [How to tell customers + timing]
100- Rollback plan: [Under what conditions you'd revert]
101
102**Risks:**
103- [Risk] → Mitigation: [Action]
104
105**Metrics to Monitor Post-Change:**
106- Conversion rate (free to paid)
107- Churn rate by tier
108- Average revenue per user (ARPU)
109- Expansion revenue
110
111---
112
113## Required Inputs
114
115Ask the user for these if not provided:
116- **Product or service** being priced
117- **Current pricing** (if any — and why it's being reviewed)
118- **Target customer segments** (size, role, willingness to pay)
119- **Key competitors and their pricing** (if known)
120- **Business model** (SaaS / Marketplace / Usage-based / Other)
121- **Primary goal** (grow adoption / increase ARPU / reduce churn / new market entry)
122
123## Deeper Materials
124
125- [`references/model-selection.md`](references/model-selection.md) — the model-selection decision tree and the regrets table from each model's veterans
126
127## Quality Checks
128
129- [ ] Value metric is defined (the unit that scales with customer value)
130- [ ] Free-to-paid upgrade trigger is specific (not "when they need more")
131- [ ] Competitive positioning is chosen and justified (premium / parity / value)
132- [ ] Pricing change rollout plan includes grandfathering decision
133- [ ] Counter-metrics are defined to catch perverse incentives
134- [ ] Risks have specific mitigations (not just listed)
135
136## Anti-Patterns
137
138- [ ] Do not base pricing solely on cost-plus — pricing must reflect value delivered to the customer
139- [ ] Do not design tiers where the middle tier is clearly worse value — it undermines trust and pushes customers to extremes
140- [ ] Do not change pricing without a migration plan for existing customers — surprise price changes cause churn
141- [ ] Do not set enterprise pricing as "contact us" without a floor — it deters self-serve evaluation and qualification
142- [ ] Do not skip competitive positioning — pricing in isolation from the market is incomplete strategy
143
144## Guidelines
145
146- Never price based on cost — price based on value delivered to the customer
147- Always A/B test price changes where possible; use geographic holdouts if A/B isn't feasible
148- Recommend annual pricing with 15–20% discount — improves cash flow and reduces churn
149- If enterprise pricing is "contact us", recommend adding a price floor to qualify inbound
Mohit Aggarwal