Networks & demand
Network effects explain how participation creates value. Demand ownership explains who controls access to customers and the bargaining power that can follow.
Network effects
A network effect exists when an additional relevant participant makes a product or service more valuable to existing participants. The benefit can come through direct interaction, complementary products, shared data or other mechanisms.
Participation can reinforce itself: a more useful network attracts further participation. A durable competitive advantage requires additional evidence that rivals cannot readily reproduce or share that value. Interoperability, use of competing networks and diminishing returns can limit the barrier.
Types of network effects
Scroll the table sideways to see mechanisms and case studies.
| Tag | Mechanism | Case studies |
|---|---|---|
| Marketplace network effects | More relevant buyers and sellers improve transaction opportunities for each other. | Airbnb, Amazon, GoodRx, LinkedIn, Sidecar, Uber |
| Platform network effects | Users attract developers and complement producers; their contributions attract users. | HashiCorp, LiveRamp, Microsoft, Okta, Shopify |
| Data network effects | Data generated by one participant’s usage improves the product for other participants. | Affirm, athenahealth, Cloudflare, Spotify, ZoomInfo |
| Expertise network effects | More trained practitioners make a tool more useful to employers; employer adoption makes learning it more valuable. | Autodesk, Epic Systems, Figma, Salesforce, Tableau |
| Protocol network effects | Wider adoption of a shared standard or format increases the value of compatibility. | Autodesk, Confluent, Epic Systems, LiveRamp, MongoDB |
| Collaboration & exchange network effects | Participation by relevant colleagues or counterparties makes communication, shared work or information exchange more useful. | Bloomberg, Doximity, Facebook / Meta, Figma, LinkedIn, Procore Technologies, Reddit, Slack, Snowflake, Xero |
| Payment network effects | More accepting merchants make a payment service more useful to shoppers; participating shoppers make acceptance more useful to merchants. | Affirm, Mastercard, PayPal, Shopify, Visa |
Demand ownership
An intermediary has demand ownership when suppliers depend on it to reach customers, giving it bargaining power. Network effects can help create that position, but the two claims need different evidence. Buyers attracting sellers supports a marketplace network effect; suppliers’ dependence on the intermediary supports demand ownership.
Case studies
Choose a tag to narrow the list. Each company appears once; its links open the passages for each mechanism. Candidate claims retain their qualifications in the case study.
34 companies
- Affirm: Data network effects, Payment network effects
- Airbnb: Marketplace network effects
- Amazon: Marketplace network effects
- athenahealth: Data network effects
- Autodesk: Expertise network effects, Protocol network effects
- Bloomberg: Collaboration & exchange network effects
- Cloudflare: Data network effects
- Confluent: Protocol network effects
- Doximity: Collaboration & exchange network effects
- Epic Systems: Expertise network effects, Protocol network effects
- Facebook / Meta: Collaboration & exchange network effects
- Figma: Expertise network effects, Collaboration & exchange network effects
- GoodRx: Demand ownership, Marketplace network effects
- HashiCorp: Platform network effects
- LinkedIn: Marketplace network effects, Collaboration & exchange network effects
- LiveRamp: Platform network effects, Protocol network effects
- Mastercard: Payment network effects
- Microsoft: Platform network effects
- MongoDB: Protocol network effects
- Okta: Platform network effects
- PayPal: Payment network effects
- Procore Technologies: Collaboration & exchange network effects
- Reddit: Collaboration & exchange network effects
- Salesforce: Expertise network effects
- Shopify: Platform network effects, Payment network effects
- Sidecar: Marketplace network effects
- Slack: Collaboration & exchange network effects
- Snowflake: Collaboration & exchange network effects
- Spotify: Data network effects
- Tableau: Expertise network effects
- Uber: Marketplace network effects
- Visa: Payment network effects
- Xero: Collaboration & exchange network effects
- ZoomInfo: Data network effects
No case studies match this tag.
How to assess the advantage
- Who benefits when another participant joins, and through what specific mechanism?
- Is the useful network local to a city, a working group, a specialist market or a shared standard?
- How much value does the next participant add, and where do those benefits flatten or turn into congestion?
- Can participants use competing networks, exchange across them or transact without the intermediary?
- Can a rival reproduce or share the benefit, and what evidence establishes a barrier in the period being assessed?
- For demand ownership, how dependent are suppliers on this route to customers, and what bargaining power follows?
Frameworks and sources
- Helmer: Network Economies, one of the seven Powers
- NFX: Sixteen network-effect types, used as the reference for our mechanism tags
- Neumann: Network and platform effects within returns to scale
- Thompson: Aggregation Theory: customer relationships, supplier dependence and networks
Thompson’s The Moat Map distinguishes control of the customer relationship from the network effects that can help defend it.
NFX’s full taxonomy and our tags
Our seven mechanism tags use NFX’s taxonomy as a reference. Collaboration & exchange adapts personal utility to working groups and counterparties. Payment is an application of two-sided network effects. Demand ownership is outside this list of network-effect types.
| NFX type | Description | Our treatment |
|---|---|---|
| Physical | Physical nodes and links — telcos, utilities, roads | Reference only; no separate tag in the current case-study taxonomy. |
| Protocol | A standard others must adopt — TCP/IP, Bitcoin | Protocol network effects. Direct match. |
| Personal utility | Identity-linked tools you need daily — WhatsApp, Slack | Collaboration & exchange network effects. Adapted for working groups and counterparties. |
| Personal | Identity and reputation — Facebook, LinkedIn | Reference only; no separate tag in the current case-study taxonomy. |
| Market network | Marketplace + personal + workflow — Houzz, HoneyBook | Reference only; no separate tag in the current case-study taxonomy. |
| Marketplace | Two-sided supply/demand — eBay, Uber | Marketplace network effects. Direct match. |
| Platform | Developers add value for users — iOS, Windows | Platform network effects. Direct match. |
| Asymptotic marketplace | Value plateaus quickly — ride-hailing per city | Marketplace network effects. Diminishing returns assessed within Marketplace. |
| Data | More usage → more data → better product — Waze, Google | Data network effects. Direct match. |
| Tech performance | Product works better with more nodes — BitTorrent, Skype | Reference only; no separate tag in the current case-study taxonomy. |
| Language | A brand becomes the category's word — 'google it' | Reference only; no separate tag in the current case-study taxonomy. |
| Belief | Value because others believe — currencies, religions | Reference only; no separate tag in the current case-study taxonomy. |
| Bandwagon | Fear of missing the winner — Slack's early wave | Reference only; no separate tag in the current case-study taxonomy. |
| Expertise | A larger pool of trained professionals makes a tool more useful to employers, while employer adoption increases the value of learning it. | Expertise network effects. Direct match. |
| Tribal | Affiliation and identity — Harvard, the Marines | Reference only; no separate tag in the current case-study taxonomy. |
| Hub-and-spoke | Participants contribute content or goods; a central hub selects and distributes contributions, and participants can connect with each other. | Reference only; no separate tag in the current case-study taxonomy. |