Network effects and platform business models
A network effect means each new user makes the network more valuable to the others. In one-sided networks all users are alike; in two- or multi-sided platforms different groups attract each other, such as buyers and sellers. Network effects create strong barriers to entry, so a few platforms often dominate.
Before this: Conventional business models, variations and innovation
On the exam
- Describe various types of business models
Describe network effects and platform business models. Expect: define a network effect; classify an example as one-sided or multi-sided; crowdsourcing; why network effects raise barriers to entry; and, as an illustration of why value grows faster than users, a count of possible connections.
How deeply to learn each part
- Know the idea
- Understand it in general. It frames other topics, but you will not calculate with it.
- Use it
- Understand it well enough to solve a question with it. Recognize when it applies.
- Memorize
- Learn it by heart. The exam will not give it to you.
You know this one. The full lesson is folded away. The takeaways, formulas and checkpoint below are your quick refresher, and the checkpoint is a fair test of whether you still do.
You tested strong here. The full lesson is folded away. The takeaways, formulas and checkpoint below are your quick refresher, and the checkpoint is a fair test of whether you still know it.
What are network effects?
Network effects are the increase in a network’s value to its users as more users join. A telephone is useless alone and valuable when everyone you know has one. Many internet businesses are built on this idea: messaging and payment apps, online classifieds, social media and ride-sharing. Network effects also exist in older, pre-internet businesses such as telephone service, card payment systems and stock exchanges. Digital technology did not invent them; it made them cheaper and faster to build.
In all these businesses the key metric is the number of users and their growth rate. They draw on both economies of scale and scope, but they are not the same as scale. Economies of scale lower the cost of each unit produced; network effects raise the value each user gets.
Once a network reaches enough users, it becomes attractive to marginal users too, which further speeds growth. That threshold is its critical mass .
One-sided or multi-sided?
In a one-sided network only one type of user matters to the other users. Telephone services and peer-to-peer payment apps are examples: connections between users are what counts, and there is only one kind of user. Once the network is large enough, the cost of adding another user is lower than the revenue the user brings.
In a two-sided network , there are two types of user, such as buyers and sellers in an online marketplace. A multi-sided platform has two or more. Typical examples are card networks (cardholders and merchants), digital marketplaces (hosts and guests) and food delivery apps (diners, restaurants and couriers). As each group grows, it attracts the others: more diners bring more orders, which attract more restaurants and couriers, which attract more diners. These loops make multi-sided platforms capable of exponential growth.
| One-sided | Two- or multi-sided | |
|---|---|---|
| Users | one type; all connect with each other | two or more types that need each other |
| Examples | a messaging app; a peer-to-peer payment app | a card network; a delivery app |
| Growth engine | more users, more people to reach | more buyers attract more sellers, who attract more buyers |
| Key metric | number and growth of users | users on each side and transactions between them |
Try this 0 of 3
- Triple the network from 10 to 30 users
- Grow the network to 60 users
- Switch to two-sided and find the split of 20 users with the most connections
One-sided: every user is the same kind and any two can connect, so possible connections = n(n − 1) ÷ 2.
Ten users can form 45 connections. Add an 11th and it brings 10 new connections, not 1.
- Possible connections
- Users (one unit each)
Show working
Each of the 10 users can connect with the other 9; that counts every pair twice, so possible connections = n(n − 1) ÷ 2 = 10 × 9 ÷ 2 = 45.
Versus the 10-user network: users 10 ÷ 10 = 1.0×; connections 45 ÷ 45 = 1.00×. At 100 users there would be 4,950 (users 10×, connections 110×).
This is a rule of thumb for showing why value grows faster than users, not a formula to memorize. It is not economies of scale: there, cost per unit falls; here, value per user rises.
- 10×9÷2=45 possible connections
- 45÷45=1.00 times the 10-user network
- 10ENTER9×2÷45 possible connections
- 45ENTER45÷1.00 times the 10-user network
ENTER enter (on the HP, puts the number on the stack)
- One-sided network Memorize one type of user, all connect with each other
- Telephone and messaging more people to reach
- Peer-to-peer payments more people to pay
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- Two-sided or multi-sided platform Memorize two or more user types that need each other
- Card networks cardholders and merchants
- Digital marketplaces hosts and guests, buyers and sellers
- Delivery apps diners, restaurants and couriers
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- Crowdsourcing Memorize often built in: users create the content or product
How fast does value grow with users?
A simple rule of thumb shows why platforms race for scale. If every pair of users in a one-sided network can connect, the number of possible connections between users is . Each of the users can link to others, and dividing by two stops each pair being counted twice. This is an illustration, not a valuation formula.
Ten users have 45 possible connections. One hundred users have 4,950. Users grew ten times, but connections grew about 110 times.
A messaging network has 18 users, and any two can connect. The number of possible connections is closest to:
18 × 17 ÷ 2 = 153
Possible connections, C153
- 18×17÷2=153
- 18ENTER17×2÷153
ENTER enter (on the HP, puts the number on the stack)
On a two-sided platform, only links between the groups count. Buyer-to-buyer links do not create value, so the count is buyers times sellers.
A marketplace has 60 buyers and 40 sellers, and only buyer-seller connections count. The number of possible connections is closest to:
60 × 40 = 2400
Possible buyer-seller connections, X2400
- 60×40=2400
- 60ENTER40×2400
ENTER enter (on the HP, puts the number on the stack)
What is crowdsourcing?
Network business models often include crowdsourcing , in which users contribute directly to the product or service. Examples include social media and short-video feeds, open-source software, wikis, and customer reviews and ratings. The company builds the service and sets rules, and the community supplies the content, with a small amount of moderation and oversight from the host. In effect, the company creates a service that users build.
Why do network effects create barriers to entry?
Network effects create strong barriers to entry and are a form of competitive advantage. A network’s value to each user rises with its size, so users gravitate toward the biggest network. A challenger must reach critical mass against a larger incumbent, and a challenger that merely matches the incumbent’s price still offers fewer people to reach. The result is that a few platforms often dominate, so industries with strong network effects tend to concentrate.
Exam tip Scale lowers the cost of each unit. Network effects raise the value to each user. Different advantage, same barrier.
Go deeper Disintermediation
Disintermediation is the displacement of an established intermediary. An online travel platform is itself a two-sided network (travelers and hotels); by automating research, price comparison and booking, it displaced many traditional travel agents and shifted the balance of power between agencies and hotels. The remaining agencies have to specialize. Hotels responded by investing in their own websites, customer data and direct booking.
Go deeper Network effects in industry analysis
When an analyst studies an industry, network effects show up as a barrier to entry and as a driver of concentration. A market where one or two platforms hold most users will show a high concentration ratio, and an entrant faces a harder path than in a market where customers can use several services at once. Ask whether users can easily use rival networks at the same time, and whether the platform charges one side and subsidizes the other.
Memorize this
MemorizeOne-sided versus multi-sided
| One-sided | Two- or multi-sided | |
|---|---|---|
| Users | one type; all connect with each other | two or more types that need each other |
| Examples | telephone, messaging app, peer-to-peer payments | card network (cardholders and merchants), marketplace, delivery app |
| Growth engine | more users, more people to reach | more buyers attract more sellers, who attract more buyers |
| Key metric | number and growth of users | users on each side and transactions between them |
Memory hook Count the kinds of user. One kind, one-sided. Two or more kinds that need each other, multi-sided.
Know it cold Network effects = value per user rises with the number of users. Economies of scale = cost per unit falls with output.
MemorizeWhat network effects do
| Fact | Detail |
|---|---|
| Barrier to entry | Raise it: users gravitate to the biggest network |
| Where they occur | old (telephones, card networks, exchanges) and new (internet platforms) |
| Crowdsourcing | users create the product, the host sets rules and moderates |
| Connections | any pair can connect: ; ten users give 45, 100 give 4,950 |
Memory hook Ten times the users, about 110 times the connections.
Know it cold Digital technology made network effects cheaper to build; it did not invent them.
- One-sided network Memorize one type of user, all connect with each other
- Telephone and messaging more people to reach
- Peer-to-peer payments more people to pay
-
- Two-sided or multi-sided platform Memorize two or more user types that need each other
- Card networks cardholders and merchants
- Digital marketplaces hosts and guests, buyers and sellers
- Delivery apps diners, restaurants and couriers
-
- Crowdsourcing Memorize often built in: users create the content or product
Quick example
15 users, any two of whom can connect: 15 × 14 ÷ 2 = 105 possible connections.
- 15×14÷2= 105
- 15ENTER14×2÷ 105
ENTER enter (on the HP, puts the number on the stack)
Quick example
120 buyers and 80 sellers: only buyer-seller pairs count, so 120 × 80 = 9,600 possible connections.
- 120×80= 9600
- 120ENTER80× 9600
ENTER enter (on the HP, puts the number on the stack)
How it is asked
-
Define the term
Network effects best describes:
The rising value of a network to its users as more users join. Trap: falling unit costs (economies of scale).
-
One-sided or multi-sided?
A home-repair app connecting homeowners, tradespeople and parts suppliers is a:
Multi-sided platform: three user types need each other. Trap: one-sided.
-
Effect on competition
Network effects are most likely to:
Raise barriers to entry. A challenger must reach critical mass against a larger network.
-
Possible connections
12 users, any two can connect. Possible connections?
12 × 11 ÷ 2 = 66. Traps: 132 (forgetting to halve), 144 (n squared).
Exam traps
- Calling a card network one-sided. Cardholders and merchants are two sides that need each other.
- Thinking network effects exist only in internet businesses. Telephones, card networks and exchanges are older examples.
- Confusing economies of scale with network effects. Scale lowers the cost per unit; network effects raise the value per user.
- Counting every pair twice. Connections between n users are n(n − 1) ÷ 2, because a link between A and B is the same link as B and A.
Checkpoint
5 exam-style questions. About 90 seconds each.
1"Network effects" best describes:
2A home-repair app connects homeowners, independent tradespeople and parts suppliers, and each group uses it because the others do. The app is an example of a:
3Network effects are most likely to:
4A messaging app has 20 users, and any two of them can connect. The number of possible connections is closest to:
5A marketplace has 50 buyers and 30 sellers. Only buyer-seller connections count. The number of possible connections is closest to:
Key takeaways
- A network effect: value per user rises as more users join.
- One-sided networks have one type of user; two- and multi-sided platforms have groups that attract each other.
- Crowdsourcing lets users build the product, with the host setting rules and moderating.
- Network effects are a strong barrier to entry, and markets tend to concentrate.
Quick example
15 users, any two of whom can connect: 15 × 14 ÷ 2 = 105 possible connections.
- 15×14÷2= 105
- 15ENTER14×2÷ 105
ENTER enter (on the HP, puts the number on the stack)
Quick example
120 buyers and 80 sellers: only buyer-seller pairs count, so 120 × 80 = 9,600 possible connections.
- 120×80= 9600
- 120ENTER80× 9600
ENTER enter (on the HP, puts the number on the stack)
Questions about this lesson?
Where this comes back
- Industry and Competitive Analysis Equities
- Company Analysis: Past and Present Equity Investments
- Company Analysis: Forecasting Equity Investments
- Capital Structure Corporate Finance
Questions candidates ask
What are network effects?
A network effect is the increase in a network's value to its users as more users join. Telephones, card networks, exchanges, messaging apps and marketplaces all show it. The key metric is the number of users and how fast it grows.
What is a two-sided platform?
A two-sided (or multi-sided) platform serves two or more groups that need each other, such as cardholders and merchants, or hosts and guests. Growth on each side attracts the other, creating a loop. The platform tracks users on every side and the transactions between them.
Why do network effects create barriers to entry?
Value rises with size, so users prefer the biggest network and challengers struggle to reach critical mass. An entrant that matches an incumbent's price still offers fewer people to reach, so established platforms are hard to dislodge and markets often concentrate.
What is crowdsourcing in a business model?
Users contribute directly to the product, such as reviews, open-source code, wikis and short-video feeds. The company sets the rules and moderates lightly, while the community builds most of the content.
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