Network Effects
Network Effects · Network Effect
The phenomenon where a product or service becomes more valuable with every additional user.
What it is
A network effect occurs when the value of a product grows with the number of its users. It is one of the strongest sources of economic moat.
Direct network effect: Each new user directly increases value for others. Classic example: telephone (the more people have a phone, the more useful it is), social networks (Facebook, LinkedIn, WhatsApp).
Indirect (two-sided) network effect: Two groups of users reinforce each other. Example: Marketplace (more sellers attract buyers and vice versa). App Store: more developers = more apps = more iPhone users.
Data network effect: The more users, the more data → better AI/algorithms → better product → more users. Google Search, Netflix recommendation engine, GitHub Copilot.
Why track it
Companies with strong network effects have a naturally expanding moat — a competitor cannot simply copy the product and match their level, because they lack the user network. This dynamic creates a durable competitive advantage and supports pricing power.
Look for: is the network growing or stagnating? Large platforms with declining active users are losing their network effect (see Facebook with younger generations).
Real-world example
Microsoft Teams vs. Slack: Teams won the enterprise segment partly due to the network effect — companies already using Microsoft 365 naturally adopted Teams without needing convincing. Slack had a better product but weaker network effect in the enterprise context.