Startup Business Models
Systematic framework for designing, analyzing, and optimizing revenue models and unit economics.
Modern Best Practices (Dec 2025):
- Use consistent metric definitions (CAC, LTV, payback, NRR) and keep a glossary.
- Model unit economics by segment/cohort; blended averages can hide failures.
- Treat pricing & packaging as a product: value metric, discount policy, upgrade triggers, enforcement.
- For usage-based models, explicitly budget variable costs (infra, third-party) and add guardrails.
When to Use This Skill
Use this skill when:
- Designing or analyzing revenue models (subscription, usage-based, marketplace, freemium)
- Calculating unit economics (LTV, CAC, payback period, gross margin)
- Creating or optimizing pricing strategy and tier design
- Evaluating business model viability for investors
- Building financial models for startups
- Analyzing customer economics by segment or cohort
Related Skills:
Decision Tree: What Business Model Analysis?
BUSINESS MODEL QUESTION
│
├─► "How should I charge?" ────────► Revenue Model Selection
│ └─► Model comparison, hybrid strategies
│
├─► "What price?" ─────────────────► Pricing Strategy
│ └─► Value-based, competition, willingness-to-pay
│
├─► "Is it profitable?" ───────────► Unit Economics Analysis
│ └─► LTV, CAC, margins, payback
│
├─► "Which customers are best?" ───► Customer Economics
│ └─► Segment profitability, cohorts
│
├─► "How do I grow revenue?" ──────► Revenue Expansion
│ └─► Upsell, cross-sell, pricing tiers
│
└─► "Full model design" ───────────► COMPREHENSIVE ANALYSIS
└─► All dimensions
Revenue Model Types
Model Taxonomy
| Model |
Description |
Best For |
Examples |
| Subscription |
Recurring fee for access |
Predictable value delivery |
SaaS, media, software |
| Usage-Based |
Pay per unit consumed |
Variable consumption |
Cloud, API, telecom |
| Freemium |
Free tier + paid upgrades |
Network effects, low marginal cost |
Slack, Dropbox, Spotify |
| Marketplace |
Take-rate on transactions |
Two-sided platforms |
Uber, Airbnb, eBay |
| Transaction |
Fee per transaction |
Payment, financial services |
Stripe, PayPal |
| License |
One-time or periodic fee |
Enterprise software |
Microsoft, Adobe (legacy) |
| Advertising |
Monetize attention |
Scale audiences |
Google, Meta, TikTok |
| Hardware + Service |
Device + recurring service |
IoT, connected products |
Peloton, Nest |
| Outcome-Based |
Pay for results |
High-value, measurable outcomes |
Performance marketing |
Model Selection Framework
HIGH VALUE, PREDICTABLE DELIVERY
│
├─► Subscription
│
VARIABLE VALUE, VARIABLE USAGE
│
├─► Usage-Based or Hybrid
│
PLATFORM/NETWORK EFFECTS
│
├─► Freemium → Upgrade
│
TWO-SIDED MARKET
│
├─► Marketplace (Take-Rate)
│
TRANSACTION-ENABLING
│
└─► Transaction Fees
Hybrid Models (2024-2025 Trend)
| Hybrid |
Components |
Examples |
| Subscription + Usage |
Base fee + overage |
AWS, Twilio |
| Freemium + Usage |
Free tier + usage-based premium |
OpenAI API |
| Subscription + Transaction |
Platform fee + take-rate |
Shopify |
| Outcome + Subscription |
Base + success fee |
Performance agencies |
Unit Economics Framework
Core Metrics
| Metric |
Formula |
Target |
Notes |
| LTV |
ARPU × Gross Margin × (1 / Churn Rate) |
3x+ CAC |
Lifetime customer value |
| CAC |
Sales & Marketing Spend / New Customers |
LTV/3 |
Customer acquisition cost |
| LTV:CAC |
LTV / CAC |
>3:1 |
Efficiency ratio |
| Payback |
CAC / (ARPU × Gross Margin) |
<12 months |
Months to recover CAC |
| Gross Margin |
(Revenue - COGS) / Revenue |
>70% (SaaS) |
Profitability per unit |
| Net Revenue Retention |
(Starting MRR + Expansion - Churn) / Starting MRR |
>100% |
Growth from existing |
| Churn Rate |
Lost Customers / Total Customers |
<5% annual |
Customer retention |
LTV Calculation Methods
Simple LTV:
LTV = ARPU × Average Customer Lifetime
Where: Average Customer Lifetime = 1 / Monthly Churn Rate
Margin-Adjusted LTV:
LTV = ARPU × Gross Margin × (1 / Churn Rate)
Cohort-Based LTV (Most Accurate):
LTV = Σ (Revenue per Cohort Month × Retention Rate at Month)
CAC Calculation
Fully-Loaded CAC:
CAC = (Sales Salaries + Marketing Spend + Sales Tools +
Marketing Tools + Content + Events + Agency Fees) /
New Customers Acquired
By Channel:
| Channel |
Spend |
Customers |
CAC |
| Paid Search |
$X |
N |
$X |
| Content/SEO |
$X |
N |
$X |
| Sales Outbound |
$X |
N |
$X |
| Referral |
$X |
N |
$X |
| Blended |
$X |
N |
$X |
Unit Economics by Stage
| Stage |
LTV:CAC |
Payback |
Focus |
| Pre-PMF |
N/A |
N/A |
Finding product-market fit |
| Early |
1-2x |
18-24 mo |
Proving unit economics work |
| Growth |
3-4x |
12-18 mo |
Scaling efficiently |
| Scale |
4-5x+ |
<12 mo |
Optimizing profitability |
Pricing Strategy
Pricing Approaches
| Approach |
Method |
When to Use |
| Value-Based |
Price = % of customer value |
B2B, clear ROI |
| Competition-Based |
Price relative to alternatives |
Commoditized markets |
| Cost-Plus |
Cost + target margin |
Low differentiation |
| Willingness-to-Pay |
Research-based WTP |
New markets, no reference |
Value-Based Pricing Framework
1. QUANTIFY CUSTOMER VALUE
└─► What's the $ impact of your solution?
2. IDENTIFY VALUE DRIVERS
└─► Time saved? Revenue gained? Cost reduced?
3. SET PRICE AS % OF VALUE
└─► Typically 10-30% of quantified value
4. VALIDATE WITH CUSTOMERS
└─► Willingness-to-pay research
Pricing Tiers Design
| Element |
Free |
Starter |
Pro |
Enterprise |
| Target |
Individuals |
Small teams |
Growth teams |
Large orgs |
| Price |
$0 |
$X/mo |
$X/mo |
Custom |
| Limits |
X users, Y usage |
X users, Y usage |
X users, Y usage |
Unlimited |
| Features |
Core only |
Core + Basic |
Core + Advanced |
All + Custom |
| Support |
Community |
Email |
Priority |
Dedicated |
| Billing |
— |
Monthly/Annual |
Monthly/Annual |
Annual |
Pricing Levers
| Lever |
Options |
Considerations |
| Metric |
Per seat, per usage, flat |
Align with value delivery |
| Frequency |
Monthly, annual, one-time |
Cash flow vs. commitment |
| Discounts |
Volume, annual, startup |
Incentive alignment |
| Bundling |
All-in-one vs. à la carte |
Simplicity vs. customization |
| Anchoring |
Show expensive option first |
Psychological pricing |
Willingness-to-Pay Research
Van Westendorp Method (Price Sensitivity Meter):
| Question |
Purpose |
| "At what price is this too expensive?" |
Upper bound |
| "At what price is this expensive but acceptable?" |
Premium threshold |
| "At what price is this a bargain?" |
Value perception |
| "At what price is this too cheap (suspicious)?" |
Lower bound |
Gabor-Granger Method:
1. Show product at price point A
2. "Would you buy at this price?" Y/N
3. If Yes → Show higher price
4. If No → Show lower price
5. Repeat to find demand curve
SaaS Metrics Deep Dive
MRR Components
| Component |
Definition |
Formula |
| New MRR |
From new customers |
Sum(New Customer MRR) |
| Expansion MRR |
Upgrades + add-ons |
Sum(Upsell + Cross-sell) |
| Contraction MRR |
Downgrades |
Sum(Downgrade MRR) |
| Churn MRR |
Lost customers |
Sum(Churned Customer MRR) |
| Net New MRR |
Monthly change |
New + Expansion - Contraction - Churn |
Cohort Analysis Template
| Cohort |
M0 |
M1 |
M2 |
M3 |
M6 |
M12 |
| Jan 2024 |
100% |
95% |
90% |
88% |
82% |
75% |
| Feb 2024 |
100% |
93% |
88% |
85% |
80% |
— |
| Mar 2024 |
100% |
94% |
89% |
86% |
— |
— |
Net Revenue Retention (NRR)
NRR = (Starting MRR + Expansion - Contraction - Churn) / Starting MRR × 100%
Benchmarks:
- <100%: Leaky bucket (fix churn first)
- 100-110%: Healthy
- 110-120%: Strong
- >120%: Exceptional (enterprise, land-and-expand)
Marketplace Economics
Key Marketplace Metrics
| Metric |
Formula |
Benchmark |
| GMV |
Total transaction value |
Growth rate |
| Take Rate |
Revenue / GMV |
5-30% |
| Liquidity |
Successful transactions / Attempts |
>80% |
| CAC Supply |
Cost to acquire seller/provider |
— |
| CAC Demand |
Cost to acquire buyer/consumer |
— |
| ARPU |
Revenue per active user |
— |
Take Rate by Category
| Category |
Typical Take Rate |
Notes |
| Rideshare |
20-30% |
High service component |
| E-commerce |
10-15% |
Logistics adds value |
| Services |
15-25% |
Trust/vetting value |
| B2B |
5-15% |
Lower, higher volume |
| Digital goods |
15-30% |
No physical logistics |
Marketplace Unit Economics
Buyer Side:
LTV = Transactions/Year × AOV × Take Rate × Retention Years
Seller Side:
LTV = GMV/Year × Take Rate × Retention Years
Combined:
Platform LTV = Buyer LTV + Seller LTV - Cross-Subsidization
Revenue Expansion Strategies
Expansion Revenue Levers
| Lever |
Mechanism |
Example |
| Seat Expansion |
More users in org |
Slack per-user pricing |
| Usage Growth |
Natural consumption increase |
AWS compute |
| Tier Upgrade |
Move to higher plan |
Free → Pro → Enterprise |
| Add-on Sales |
Complementary products |
Salesforce add-ons |
| Cross-sell |
Related products |
HubSpot suite |
| Price Increase |
Annual adjustments |
Annual price escalators |
Land and Expand Framework
LAND (Initial Deal)
│
└─► Small team, specific use case, low ACV
│
▼
ADOPT (Prove Value)
│
└─► Usage growth, success metrics, champions
│
▼
EXPAND (Grow Account)
│
└─► More users, departments, use cases
│
▼
STRATEGIC (Enterprise Deal)
│
└─► Company-wide, multi-year, executive sponsor
Expansion Triggers
| Trigger |
Signal |
Action |
| Usage hitting limits |
80%+ of tier limits |
Proactive upgrade offer |
| New use case request |
Feature request in adjacent area |
Cross-sell motion |
| Team growth |
New users being added |
Seat expansion |
| Success metrics |
Strong ROI demonstrated |
Enterprise pitch |
| Contract renewal |
90 days before renewal |
Annual review, expansion conversation |
Model Comparison Framework
Decision Matrix
| Factor |
Subscription |
Usage-Based |
Freemium |
Marketplace |
| Predictability |
High |
Low |
Medium |
Medium |
| Scalability |
Medium |
High |
High |
High |
| Stickiness |
High |
Low |
Medium |
High |
| Sales complexity |
Medium |
High |
Low |
Medium |
| PMF signal |
Renewal |
Usage |
Conversion |
Liquidity |
| Best for stage |
Post-PMF |
Scale |
Pre-PMF |
Platform |
Revenue Model Scorecard
| Criterion |
Weight |
Model A |
Model B |
Model C |
| Customer alignment |
25% |
|
|
|
| Predictability |
20% |
|
|
|
| Scalability |
20% |
|
|
|
| Competitive positioning |
15% |
|
|
|
| Implementation complexity |
10% |
|
|
|
| Expansion potential |
10% |
|
|
|
| Weighted Score |
100% |
|
|
|
Resources
| Resource |
Purpose |
| unit-economics-calculator.md |
LTV, CAC, payback calculations |
| pricing-research-guide.md |
WTP research methodology |
| saas-metrics-playbook.md |
SaaS-specific metrics deep dive |
Templates
| Template |
Purpose |
| business-model-canvas.md |
Full model design |
| unit-economics-worksheet.md |
Calculate and track metrics |
| pricing-tier-design.md |
Pricing & packaging worksheet |
Data
| File |
Purpose |
| sources.json |
Business model resources |
Do / Avoid (Dec 2025)
Do
- Define your value metric (seat/usage/outcome) and validate willingness-to-pay early.
- Include COGS drivers in pricing decisions (especially usage-based).
- Use discount guardrails and renewal logic (avoid ad-hoc deals).
Avoid
- Pricing as an afterthought (“we’ll figure it out later”).
- Margin blindness (shipping usage growth that destroys gross margin).
- Misleading LTV calculations from immature cohorts.
What Good Looks Like
- Packaging: a clear value metric, tier logic, and discount policy (with enforcement rules).
- Unit economics: CAC, gross margin, churn, payback, and retention defined and tied to cohorts.
- Assumptions: one inputs sheet, ranges/sensitivities, and scenarios (base/best/worst).
- Experiments: pricing changes tested with decision rules (not “gut feel” rollouts).
- Risks: margin compression, adverse selection, channel conflict, and support cost modeled.
Optional: AI / Automation
Use only when explicitly requested and policy-compliant.
- Summarize pricing research and competitor snapshots; verify manually before acting.
- Draft pricing page copy; humans verify claims and consistency with contracts.
1---2name: startup-business-models-33description: Revenue model design, unit economics, pricing strategy, and monetization optimization4---5
6# Startup Business Models
7
8Systematic framework for designing, analyzing, and optimizing revenue models and unit economics.
9
10**Modern Best Practices (Dec 2025)**:
11- Use consistent metric definitions (CAC, LTV, payback, NRR) and keep a glossary.
12- Model unit economics by segment/cohort; blended averages can hide failures.
13- Treat pricing & packaging as a product: value metric, discount policy, upgrade triggers, enforcement.
14- For usage-based models, explicitly budget variable costs (infra, third-party) and add guardrails.
15
16---
17
18## When to Use This Skill
19
20Use this skill when:
21
22- Designing or analyzing revenue models (subscription, usage-based, marketplace, freemium)
23- Calculating unit economics (LTV, CAC, payback period, gross margin)
24- Creating or optimizing pricing strategy and tier design
25- Evaluating business model viability for investors
26- Building financial models for startups
27- Analyzing customer economics by segment or cohort
28
29**Related Skills**:
30
31- [startup-idea-validation](../startup-idea-validation/) - Validate before building
32- [startup-competitive-analysis](../startup-competitive-analysis/) - Market positioning
33- [startup-fundraising](../startup-fundraising/) - Investor metrics and pitch
34- [startup-go-to-market](../startup-go-to-market/) - GTM strategy
35
36---
37
38## Decision Tree: What Business Model Analysis?
39
40```
41BUSINESS MODEL QUESTION
42 │
43 ├─► "How should I charge?" ────────► Revenue Model Selection
44 │ └─► Model comparison, hybrid strategies
45 │
46 ├─► "What price?" ─────────────────► Pricing Strategy
47 │ └─► Value-based, competition, willingness-to-pay
48 │
49 ├─► "Is it profitable?" ───────────► Unit Economics Analysis
50 │ └─► LTV, CAC, margins, payback
51 │
52 ├─► "Which customers are best?" ───► Customer Economics
53 │ └─► Segment profitability, cohorts
54 │
55 ├─► "How do I grow revenue?" ──────► Revenue Expansion
56 │ └─► Upsell, cross-sell, pricing tiers
57 │
58 └─► "Full model design" ───────────► COMPREHENSIVE ANALYSIS
59 └─► All dimensions
60```
61
62---
63
64## Revenue Model Types
65
66### Model Taxonomy
67
68| Model | Description | Best For | Examples |
69|-------|-------------|----------|----------|
70| **Subscription** | Recurring fee for access | Predictable value delivery | SaaS, media, software |
71| **Usage-Based** | Pay per unit consumed | Variable consumption | Cloud, API, telecom |
72| **Freemium** | Free tier + paid upgrades | Network effects, low marginal cost | Slack, Dropbox, Spotify |
73| **Marketplace** | Take-rate on transactions | Two-sided platforms | Uber, Airbnb, eBay |
74| **Transaction** | Fee per transaction | Payment, financial services | Stripe, PayPal |
75| **License** | One-time or periodic fee | Enterprise software | Microsoft, Adobe (legacy) |
76| **Advertising** | Monetize attention | Scale audiences | Google, Meta, TikTok |
77| **Hardware + Service** | Device + recurring service | IoT, connected products | Peloton, Nest |
78| **Outcome-Based** | Pay for results | High-value, measurable outcomes | Performance marketing |
79
80### Model Selection Framework
81
82```
83HIGH VALUE, PREDICTABLE DELIVERY
84 │
85 ├─► Subscription
86 │
87VARIABLE VALUE, VARIABLE USAGE
88 │
89 ├─► Usage-Based or Hybrid
90 │
91PLATFORM/NETWORK EFFECTS
92 │
93 ├─► Freemium → Upgrade
94 │
95TWO-SIDED MARKET
96 │
97 ├─► Marketplace (Take-Rate)
98 │
99TRANSACTION-ENABLING
100 │
101 └─► Transaction Fees
102```
103
104### Hybrid Models (2024-2025 Trend)
105
106| Hybrid | Components | Examples |
107|--------|------------|----------|
108| Subscription + Usage | Base fee + overage | AWS, Twilio |
109| Freemium + Usage | Free tier + usage-based premium | OpenAI API |
110| Subscription + Transaction | Platform fee + take-rate | Shopify |
111| Outcome + Subscription | Base + success fee | Performance agencies |
112
113---
114
115## Unit Economics Framework
116
117### Core Metrics
118
119| Metric | Formula | Target | Notes |
120|--------|---------|--------|-------|
121| **LTV** | ARPU × Gross Margin × (1 / Churn Rate) | 3x+ CAC | Lifetime customer value |
122| **CAC** | Sales & Marketing Spend / New Customers | LTV/3 | Customer acquisition cost |
123| **LTV:CAC** | LTV / CAC | >3:1 | Efficiency ratio |
124| **Payback** | CAC / (ARPU × Gross Margin) | <12 months | Months to recover CAC |
125| **Gross Margin** | (Revenue - COGS) / Revenue | >70% (SaaS) | Profitability per unit |
126| **Net Revenue Retention** | (Starting MRR + Expansion - Churn) / Starting MRR | >100% | Growth from existing |
127| **Churn Rate** | Lost Customers / Total Customers | <5% annual | Customer retention |
128
129### LTV Calculation Methods
130
131**Simple LTV**:
132```
133LTV = ARPU × Average Customer Lifetime
134
135Where: Average Customer Lifetime = 1 / Monthly Churn Rate
136```
137
138**Margin-Adjusted LTV**:
139```
140LTV = ARPU × Gross Margin × (1 / Churn Rate)
141```
142
143**Cohort-Based LTV** (Most Accurate):
144```
145LTV = Σ (Revenue per Cohort Month × Retention Rate at Month)
146```
147
148### CAC Calculation
149
150**Fully-Loaded CAC**:
151```
152CAC = (Sales Salaries + Marketing Spend + Sales Tools +
153 Marketing Tools + Content + Events + Agency Fees) /
154 New Customers Acquired
155```
156
157**By Channel**:
158| Channel | Spend | Customers | CAC |
159|---------|-------|-----------|-----|
160| Paid Search | $X | N | $X |
161| Content/SEO | $X | N | $X |
162| Sales Outbound | $X | N | $X |
163| Referral | $X | N | $X |
164| **Blended** | $X | N | $X |
165
166### Unit Economics by Stage
167
168| Stage | LTV:CAC | Payback | Focus |
169|-------|---------|---------|-------|
170| Pre-PMF | N/A | N/A | Finding product-market fit |
171| Early | 1-2x | 18-24 mo | Proving unit economics work |
172| Growth | 3-4x | 12-18 mo | Scaling efficiently |
173| Scale | 4-5x+ | <12 mo | Optimizing profitability |
174
175---
176
177## Pricing Strategy
178
179### Pricing Approaches
180
181| Approach | Method | When to Use |
182|----------|--------|-------------|
183| **Value-Based** | Price = % of customer value | B2B, clear ROI |
184| **Competition-Based** | Price relative to alternatives | Commoditized markets |
185| **Cost-Plus** | Cost + target margin | Low differentiation |
186| **Willingness-to-Pay** | Research-based WTP | New markets, no reference |
187
188### Value-Based Pricing Framework
189
190```
1911. QUANTIFY CUSTOMER VALUE
192 └─► What's the $ impact of your solution?
193
1942. IDENTIFY VALUE DRIVERS
195 └─► Time saved? Revenue gained? Cost reduced?
196
1973. SET PRICE AS % OF VALUE
198 └─► Typically 10-30% of quantified value
199
2004. VALIDATE WITH CUSTOMERS
201 └─► Willingness-to-pay research
202```
203
204### Pricing Tiers Design
205
206| Element | Free | Starter | Pro | Enterprise |
207|---------|------|---------|-----|------------|
208| **Target** | Individuals | Small teams | Growth teams | Large orgs |
209| **Price** | $0 | $X/mo | $X/mo | Custom |
210| **Limits** | X users, Y usage | X users, Y usage | X users, Y usage | Unlimited |
211| **Features** | Core only | Core + Basic | Core + Advanced | All + Custom |
212| **Support** | Community | Email | Priority | Dedicated |
213| **Billing** | — | Monthly/Annual | Monthly/Annual | Annual |
214
215### Pricing Levers
216
217| Lever | Options | Considerations |
218|-------|---------|----------------|
219| **Metric** | Per seat, per usage, flat | Align with value delivery |
220| **Frequency** | Monthly, annual, one-time | Cash flow vs. commitment |
221| **Discounts** | Volume, annual, startup | Incentive alignment |
222| **Bundling** | All-in-one vs. à la carte | Simplicity vs. customization |
223| **Anchoring** | Show expensive option first | Psychological pricing |
224
225### Willingness-to-Pay Research
226
227**Van Westendorp Method** (Price Sensitivity Meter):
228
229| Question | Purpose |
230|----------|---------|
231| "At what price is this too expensive?" | Upper bound |
232| "At what price is this expensive but acceptable?" | Premium threshold |
233| "At what price is this a bargain?" | Value perception |
234| "At what price is this too cheap (suspicious)?" | Lower bound |
235
236**Gabor-Granger Method**:
237```
2381. Show product at price point A
2392. "Would you buy at this price?" Y/N
2403. If Yes → Show higher price
2414. If No → Show lower price
2425. Repeat to find demand curve
243```
244
245---
246
247## SaaS Metrics Deep Dive
248
249### MRR Components
250
251| Component | Definition | Formula |
252|-----------|------------|---------|
253| **New MRR** | From new customers | Sum(New Customer MRR) |
254| **Expansion MRR** | Upgrades + add-ons | Sum(Upsell + Cross-sell) |
255| **Contraction MRR** | Downgrades | Sum(Downgrade MRR) |
256| **Churn MRR** | Lost customers | Sum(Churned Customer MRR) |
257| **Net New MRR** | Monthly change | New + Expansion - Contraction - Churn |
258
259### Cohort Analysis Template
260
261| Cohort | M0 | M1 | M2 | M3 | M6 | M12 |
262|--------|-----|-----|-----|-----|-----|------|
263| Jan 2024 | 100% | 95% | 90% | 88% | 82% | 75% |
264| Feb 2024 | 100% | 93% | 88% | 85% | 80% | — |
265| Mar 2024 | 100% | 94% | 89% | 86% | — | — |
266
267### Net Revenue Retention (NRR)
268
269```
270NRR = (Starting MRR + Expansion - Contraction - Churn) / Starting MRR × 100%
271
272Benchmarks:
273- <100%: Leaky bucket (fix churn first)
274- 100-110%: Healthy
275- 110-120%: Strong
276- >120%: Exceptional (enterprise, land-and-expand)
277```
278
279---
280
281## Marketplace Economics
282
283### Key Marketplace Metrics
284
285| Metric | Formula | Benchmark |
286|--------|---------|-----------|
287| **GMV** | Total transaction value | Growth rate |
288| **Take Rate** | Revenue / GMV | 5-30% |
289| **Liquidity** | Successful transactions / Attempts | >80% |
290| **CAC Supply** | Cost to acquire seller/provider | — |
291| **CAC Demand** | Cost to acquire buyer/consumer | — |
292| **ARPU** | Revenue per active user | — |
293
294### Take Rate by Category
295
296| Category | Typical Take Rate | Notes |
297|----------|-------------------|-------|
298| Rideshare | 20-30% | High service component |
299| E-commerce | 10-15% | Logistics adds value |
300| Services | 15-25% | Trust/vetting value |
301| B2B | 5-15% | Lower, higher volume |
302| Digital goods | 15-30% | No physical logistics |
303
304### Marketplace Unit Economics
305
306```
307Buyer Side:
308LTV = Transactions/Year × AOV × Take Rate × Retention Years
309
310Seller Side:
311LTV = GMV/Year × Take Rate × Retention Years
312
313Combined:
314Platform LTV = Buyer LTV + Seller LTV - Cross-Subsidization
315```
316
317---
318
319## Revenue Expansion Strategies
320
321### Expansion Revenue Levers
322
323| Lever | Mechanism | Example |
324|-------|-----------|---------|
325| **Seat Expansion** | More users in org | Slack per-user pricing |
326| **Usage Growth** | Natural consumption increase | AWS compute |
327| **Tier Upgrade** | Move to higher plan | Free → Pro → Enterprise |
328| **Add-on Sales** | Complementary products | Salesforce add-ons |
329| **Cross-sell** | Related products | HubSpot suite |
330| **Price Increase** | Annual adjustments | Annual price escalators |
331
332### Land and Expand Framework
333
334```
335LAND (Initial Deal)
336 │
337 └─► Small team, specific use case, low ACV
338 │
339 ▼
340ADOPT (Prove Value)
341 │
342 └─► Usage growth, success metrics, champions
343 │
344 ▼
345EXPAND (Grow Account)
346 │
347 └─► More users, departments, use cases
348 │
349 ▼
350STRATEGIC (Enterprise Deal)
351 │
352 └─► Company-wide, multi-year, executive sponsor
353```
354
355### Expansion Triggers
356
357| Trigger | Signal | Action |
358|---------|--------|--------|
359| Usage hitting limits | 80%+ of tier limits | Proactive upgrade offer |
360| New use case request | Feature request in adjacent area | Cross-sell motion |
361| Team growth | New users being added | Seat expansion |
362| Success metrics | Strong ROI demonstrated | Enterprise pitch |
363| Contract renewal | 90 days before renewal | Annual review, expansion conversation |
364
365---
366
367## Model Comparison Framework
368
369### Decision Matrix
370
371| Factor | Subscription | Usage-Based | Freemium | Marketplace |
372|--------|--------------|-------------|----------|-------------|
373| **Predictability** | High | Low | Medium | Medium |
374| **Scalability** | Medium | High | High | High |
375| **Stickiness** | High | Low | Medium | High |
376| **Sales complexity** | Medium | High | Low | Medium |
377| **PMF signal** | Renewal | Usage | Conversion | Liquidity |
378| **Best for stage** | Post-PMF | Scale | Pre-PMF | Platform |
379
380### Revenue Model Scorecard
381
382| Criterion | Weight | Model A | Model B | Model C |
383|-----------|--------|---------|---------|---------|
384| Customer alignment | 25% | | | |
385| Predictability | 20% | | | |
386| Scalability | 20% | | | |
387| Competitive positioning | 15% | | | |
388| Implementation complexity | 10% | | | |
389| Expansion potential | 10% | | | |
390| **Weighted Score** | 100% | | | |
391
392---
393
394## Resources
395
396| Resource | Purpose |
397|----------|---------|
398| [unit-economics-calculator.md](resources/unit-economics-calculator.md) | LTV, CAC, payback calculations |
399| [pricing-research-guide.md](resources/pricing-research-guide.md) | WTP research methodology |
400| [saas-metrics-playbook.md](resources/saas-metrics-playbook.md) | SaaS-specific metrics deep dive |
401
402## Templates
403
404| Template | Purpose |
405|----------|---------|
406| [business-model-canvas.md](templates/business-model-canvas.md) | Full model design |
407| [unit-economics-worksheet.md](templates/unit-economics-worksheet.md) | Calculate and track metrics |
408| [pricing-tier-design.md](templates/pricing-tier-design.md) | Pricing & packaging worksheet |
409
410## Data
411
412| File | Purpose |
413|------|---------|
414| [sources.json](data/sources.json) | Business model resources |
415
416---
417
418## Do / Avoid (Dec 2025)
419
420### Do
421
422- Define your value metric (seat/usage/outcome) and validate willingness-to-pay early.
423- Include COGS drivers in pricing decisions (especially usage-based).
424- Use discount guardrails and renewal logic (avoid ad-hoc deals).
425
426### Avoid
427
428- Pricing as an afterthought (“we’ll figure it out later”).
429- Margin blindness (shipping usage growth that destroys gross margin).
430- Misleading LTV calculations from immature cohorts.
431
432## What Good Looks Like
433
434- Packaging: a clear value metric, tier logic, and discount policy (with enforcement rules).
435- Unit economics: CAC, gross margin, churn, payback, and retention defined and tied to cohorts.
436- Assumptions: one inputs sheet, ranges/sensitivities, and scenarios (base/best/worst).
437- Experiments: pricing changes tested with decision rules (not “gut feel” rollouts).
438- Risks: margin compression, adverse selection, channel conflict, and support cost modeled.
439
440## Optional: AI / Automation
441
442Use only when explicitly requested and policy-compliant.
443
444- Summarize pricing research and competitor snapshots; verify manually before acting.
445- Draft pricing page copy; humans verify claims and consistency with contracts.