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a16z Podcast | Getting Network Effects

One of the biggest misconceptions around network effects (which are one of the key dynamics behind many successful and highly defensible software companies) is confusing growth with engagement. So how does one tell the difference between viral growth and network effects? How does one create network effects in different businesses? (Hint: it's not by accident!) How do you know when to hang in there because you see signs of network effects or just drop it and move on to something else? And what are some examples of teasing all of the above apart? In this episode of the a16z Podcast -- based on an event we hosted and slide deck we released all about network effects -- a16z partners Anu Hariharan and Jeff Jordan (who cover all things marketplaces, consumer, and more) share (in conversation with Sonal Chokshi) their observations, insights, and experiences. Because, why reinvent the, er, flywheel?

Sonal ChokshihostJeff JordanguestAnu Hariharanguest
Jan 2, 201948mWatch on YouTube β†—

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At a glance

WHAT IT’S REALLY ABOUT

Network Effects Explained: Bootstrapping, Measuring, and Defending Marketplaces and Platforms

  1. Anu Hariharan defines a network effect as a platform becoming more valuable to existing users as more users join, and stresses it is distinct from fast growth or viral adoption.
  2. Both guests argue that retention-style metrics, such as Facebook's daily-to-monthly active ratio, reveal real network effects, while Angry Birds-style download curves reflect only viral growth.
  3. Case studies show founders solve the chicken-and-egg problem with deliberate hacks and small-scale validation, such as OpenTable's restaurant tools, Facebook's Harvard focus, and WhatsApp's tiny feedback group.
  4. The guests discuss paid versus organic acquisition, monetization timing, and the view that growth versus monetization is a false dichotomy, especially for marketplaces with transactions flowing through them.
  5. In audience Q&A, Jeff Jordan covers how OpenTable survived a funding drought that wiped out competitors, why branded marketplaces beat white-label ones, whether brands have network effects, data network effects, and how external shocks affect networks.

IDEAS WORTH REMEMBERING

5 ideas

Growth is not the same as a network effect.

Anu Hariharan says viral growth is speed of adoption, while a network effect is rising value to users as the network grows, which shows up in retention and engagement.

Retention reveals a network effect.

Facebook's daily-to-monthly active ratio rose from the mid-40s to 57%, and Jeff Jordan recalls Mark Zuckerberg telling him 53% of all historic users were active the day before.

Every successful network has a bootstrapping hack.

Jeff Jordan says investors look for a founder's theory on which side starts first; examples include OpenTable's restaurant tools, Facebook pre-populating the Harvard directories, and Instacart's initial markup.

Validate in a small test environment first.

Jeff Jordan advises running smaller experiments like OpenTable in San Francisco or Facebook at Harvard, and for local businesses wants to see the model replicate outside the founders' home market.

Overnight success is rare and networks can take years.

Airbnb took about 36 months to reach critical mass, Pinterest had nothing happen for two to three years, and OpenTable's network built extremely slowly.

WORDS WORTH SAVING

5 quotes

Simply put, I think, uh, the simple definition is, as more users join the platform, it's more valuable to existing users.

β€” Anu Hariharan

Growth is different because in... especially as a s- as a startup in your early days, you're growing really fast. That's growth. But network effect is really value.

β€” Anu Hariharan

Virtually every marketplace we can think of did some, had some hack or hacks that enabled them to solve the- impossible chicken and egg problem.

β€” Jeff Jordan

One of the founder stories that's so entertaining and so, and almost always so patently false is the overnight success.

β€” Jeff Jordan

The thing that you don't want happening is where you're paying lots of marketing dollars to acquire users, and then when you sort of dial down your marketing dollars, the growth also slows down

β€” Anu Hariharan

Network effect definitionViral growth versus network effectRetention metrics like DAU/MAUChicken-and-egg bootstrapping hacksLocal versus global marketplacesPaid versus organic acquisitionTiming of monetization

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