network effect
network effect
When each new user makes the product more valuable for every existing user, not just for themselves.
IN PLAIN LANGUAGE
A network effect exists when each additional user makes the product more valuable for every existing user, not just for the new one. WhatsApp is the classic case: a new user joining makes the app more useful for everyone who wants to reach that person, and does nothing for people who don't know them, which is why network effects are often local before they are global.
Most companies with lots of users do not have network effects, they have scale. A media site with a million readers is not more valuable to reader number one when reader number 1,000,001 joins. That is an audience, which is valuable, but it is not a network effect and treating it like one leads to bad defensibility claims.
Marketplaces get this partially right and partially wrong. Uber has network effects locally, more drivers in Austin means shorter wait times for Austin riders, which attracts more Austin riders, which attracts more drivers to Austin. But Uber in Austin does nothing for a rider in Berlin, which is why Uber had to fight city by city rather than winning globally on day one.
The strongest network effects are two sided and hard to bootstrap, which is exactly why they are valuable once they exist. eBay in 1998 had almost no defensibility from network effects because both buyers and sellers were thin everywhere. By 2005, eBay's seller base in collectibles was so deep that a competitor needed both sides simultaneously just to match category depth, which is brutally expensive to replicate.
The tell for a fake network effect claim is asking what specifically gets better for an existing user when a new one joins. If the honest answer is 'nothing, but we have more revenue to invest in features,' that is a scale advantage. Real, not nothing, but a different, weaker thing than a network effect.
OpenTable's restaurant reservation network became genuinely hard to displace in cities like San Francisco once hundreds of restaurants used it, because a new booking app needed both a critical mass of restaurants and diners at the same time, in the same city, before either side would bother switching.
Plenty of successful companies have zero network effects and win anyway on brand,cost, or distribution, so don't force the claim if it isn't true.
QUESTIONS
- Is a large user base the same as a network effect?
- No. A large user base can mean better economics or brand recognition, but a network effect specifically means existing users get more value as new users join. Test it by asking what breaks for user one if user one million never showed up.
- Can network effects be copied by a well funded competitor?
- Rarely quickly, because the competitor needs both sides of the network at once in the same geography, which usually requires years of subsidized growth, not just a bigger ad budget for a few months.
- Do network effects ever reverse?
- Yes, this is called a negative network effect or churn spiral. MySpace lost density fast once enough friends left for Facebook, because the remaining value of staying dropped for everyone left behind at the same time.
RELATED TERMS
A cycle where more usage produces better data, which makes the product better, which drives more usage.
A structural reason a competitor with more money still cannot take your customers.
Everything a customer loses, in time, data, or risk, by moving to a competitor, even a better one.
Reading about moats is cheap. Testing one takes six stages.