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by mwsherman
3650 days ago
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The network effect of ride-sharing is considerably weaker than that of a social network. A social network’s effect is O(n²), as that is the number of meaningful connections. Ride-sharing networks are O(n). They benefit from liquidity, but I derive only secondary benefit from being “connected” to others on the platform. It's not nothing, but it feels linear, not superlinear. Ride-sharing apps are just apps, and the barrier for adopting a new one is low, for both sides of the market. Further, Uber’s political operations benefit the other apps equally. Uber can defend its brand and its satisfied users. Size helps here. Think iTunes. But the “network” is replicable by others. |
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In this case... - more passengers lead to more drivers - more drivers lead to shorter pick up times - shorter pick up times lead to better UX/value to passengers
So even though passengers aren't connected to each other, additional passengers significantly increase the value of Uber for existing passengers. This is actually very hard to replicate for new entrants.
For example, let's say when Uber started, there were 20 drivers and 1000 passengers, and the average pick up time was 6 minutes. If the average ride was 9 minutes, then a driver could do 4 rides per hour. Those 4 rides had to provide a decent wage -- let's say $20/hour. That means each 9 minute ride was $6.25 ($1.25 for Uber's take rate, $5 to the driver).
Now, let's say 4000 additional passengers signed up over a few months, which led to 80 additional drivers. Now, because there are more drivers all over the city, the average pick-up time might be 3 minutes. That means a driver can now do five 9-minute rides per hour instead of four. That means each ride can now cost $5 instead of $6.25, and the driver still makes $20/hr.
For passengers, this is awesome: their wait times got cut in half while the cost of a ride dropped by 20%. For new entrants, this is awful: the two main levers for competition are cost and waiting time, and Uber broke both of those levers. New entrants can still match fast pick up times and low costs, but they have to bleed much, much more money to do so when they launch in a new market.
In a way, Uber's network effects are like economies of scale, but they're typically classified as network effects because the means of production come from more drivers and passengers signing up, not from Uber doing any "real" work itself.