Lenny's Newsletter - Virality is a myth (mostly)
Below is a peek at today’s paid subscriber-only post. Subscribe today and get access to this issue—and every issue. 👋 Hey, I’m Lenny and welcome to a 🔒 subscriber-only edition 🔒 of my weekly newsletter. Each week I tackle reader questions about product, growth, career, and everything else that’s stressing you out about work. Happy new year! Over the holiday break I was reading Hit Makers by Derek Thompson (thanks, Gabor Cselle, for the recommendation!), and one of the chapters forever changed the way I think about growth. I’m curious if you feel the same after reading this post. Hit Makers is about how hits become hits. Why do some songs, books, movies, and products win, while others don’t? What ingredients do they have in common, and what drives their success? Derek Thompson wanted to find out, and he ended up dispelling a number of myths along the way. One of his most surprising findings (at least for me) was that going “viral” is mostly a myth. We think that products often grow through friends telling friends, who tell more friends, and this cascades to so-called viral growth. It turns out this is almost never how products grow. Instead, products explode in popularity when someone (or a few someones) with a large platform shares the product with their audience. Here’s Derek Thompson describing this phenomenon:
In a recent interview on the Acquired podcast, Ben Thompson (author of Stratechery) shared this same finding from his personal experience:
My argument in this post is this:
Before going further, let’s define virality. Something is viral when the average new user brings more than one additional user. This is often referred to as the viral coefficient, or k-factor, being higher than 1.0, and it looks something like the green or blue line: When calculating k-factor for yourself, there’s an important nuance around the cycle time between new users and referred users (read more here and here), but for the purpose of this discussion, let’s keep it simple and think of viral growth as primarily self-driving (i.e. users bringing in new users), and faster than linear growth. Let’s dive deeper by starting with this excerpt from Hit Makers: It’s become fashionable to talk about ideas as if they were diseases. Some pop songs are infectious, and some products are contagious. Advertisers and producers have developed a theory of “viral” marketing, which assumes that simple word of mouth can easily take a small idea and turn it into a phenomenon. This has fed a popular conception of buzz that says that companies don’t need sophisticated distribution strategies for their product to go big. If they make something that is inherently infectious, they can sit back and wait for it to explode like a virus: In epidemiology, “viral” has a specific meaning. It refers to a disease that infects more than one person before it dies or the host does. Such a disease has the potential to spread exponentially. One person infects two. Two infect four. Four infect eight. And before long, it’s a pandemic. Do ideas ever go viral in that way? For a long time, nobody could be sure. It’s difficult to precisely track word-of-mouth buzz or the spread of a fashion (like skinny jeans) or an idea (like universal suffrage) from person to person. So, by degrees, “That thing went viral” has became a fancy way of saying, “That thing got big really quickly, and we’re not sure how.” But there is a place where ideas leave an information trail: on the Internet. When I post an article on Twitter, it is shared and reshared, and each step of this cascade is traceable. Scientists can follow the trail of e-mails or Facebook posts as they move around the world. In the digital world, they can finally answer the question: Do ideas really go viral? The answer appears to be a simple no. In 2012, several researchers from Yahoo studied the spread of millions of online messages on Twitter. More than 90 percent of the messages didn’t diffuse at all. A tiny percentage, about 1 percent, was shared more than seven times. But nothing really went fully viral—not even the most popular shared messages. The vast majority of the news that people see on Twitter—around 95 percent—comes directly from its original source or from one degree of separation. If ideas and articles on the Internet essentially never go viral, then how do some things still achieve such massive popularity so quickly? Viral spread isn’t the only way that a piece of content can reach a large population, the researchers said. There is another mechanism, called “broadcast diffusion”—many people getting information from one source. They wrote:
On the Internet, where it seems like everything is going viral, perhaps very little or even nothing is. They concluded that popularity on the Internet is “driven by the size of the largest broadcast.” Digital blockbusters are not about a million one-to-one moments as much as they are about a few one-to-one-million moments. Extended to the full world of hits, this new finding suggests that articles, songs, and products don’t spread like in the first picture we saw. Instead, almost all popular products and ideas have blockbuster moments where they spread from one source to many, many individuals at the same time—not like a virus, but something like this: Imagine you go to work on a Monday and a coworker tells you about a new guacamole recipe she read in the New York Times. Several hours later, you go to lunch with another coworker, who asks if you’ve heard about the new guacamole recipe he read about in the New York Times. After work, you go home to your spouse, whose coworker evangelized a new guacamole recipe she found in the New York Times. The common observation is: “The Times article about guacamole went absolutely viral.” But the truer observation is that the article didn’t go viral in any meaningful sense of the word. It reached a lot of people who read the recipe section of a large international newspaper, and a few of them talked about it... Subscribe to Lenny's Newsletter to read the rest.Become a paying subscriber of Lenny's Newsletter to get access to this post and other subscriber-only content. A subscription gets you:
|
Older messages
Countdown of the top 10 episodes of the year
Thursday, December 29, 2022
Listen now (61 min) | With clips of my favorite insights from each episode
The best of Lenny’s Newsletter
Tuesday, December 27, 2022
If you read one post this year, read this one—my most popular posts and podcasts, categorized and organized
My favorite PM courses
Tuesday, December 20, 2022
10 PM courses to check out, including five for senior PMs and five for up-and-coming PMs
Launching and growing a podcast | Chris Hutchins (All the Hacks, Wealthfront, Google)
Sunday, December 18, 2022
Listen now (78 min) | Chris Hutchins recently left his position as Head of New Product Strategy at Wealthfront to focus full-time on his podcast, All the Hacks. If you're thinking about starting
Founder-led sales | Pete Kazanjy (Founding Sales, Atrium)
Friday, December 16, 2022
Listen now (62 min) | Pete Kazanjy is the author of Founding Sales: The Early Stage Go-to-Market Handbook and the founder of Modern Sales Pros, an invite-only peer learning community focused on sales
You Might Also Like
🚀 Ready to scale? Apply now for the TinySeed SaaS Accelerator
Friday, February 14, 2025
What could $120K+ in funding do for your business?
📂 How to find a technical cofounder
Friday, February 14, 2025
If you're a marketer looking to become a founder, this newsletter is for you. Starting a startup alone is hard. Very hard. Even as someone who learned to code, I still believe that the
AI Impact Curves
Friday, February 14, 2025
Tomasz Tunguz Venture Capitalist If you were forwarded this newsletter, and you'd like to receive it in the future, subscribe here. AI Impact Curves What is the impact of AI across different
15 Silicon Valley Startups Raised $302 Million - Week of February 10, 2025
Friday, February 14, 2025
💕 AI's Power Couple 💰 How Stablecoins Could Drive the Dollar 🚚 USPS Halts China Inbound Packages for 12 Hours 💲 No One Knows How to Price AI Tools 💰 Blackrock & G42 on Financing AI
The Rewrite and Hybrid Favoritism 🤫
Friday, February 14, 2025
Dogs, Yay. Humans, Nay͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
🦄 AI product creation marketplace
Friday, February 14, 2025
Arcade is an AI-powered platform and marketplace that lets you design and create custom products, like jewelry.
Crazy week
Friday, February 14, 2025
Crazy week. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
join me: 6 trends shaping the AI landscape in 2025
Friday, February 14, 2025
this is tomorrow Hi there, Isabelle here, Senior Editor & Analyst at CB Insights. Tomorrow, I'll be breaking down the biggest shifts in AI – from the M&A surge to the deals fueling the
Six Startups to Watch
Friday, February 14, 2025
AI wrappers, DNA sequencing, fintech super-apps, and more. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
How Will AI-Native Games Work? Well, Now We Know.
Friday, February 14, 2025
A Deep Dive Into Simcluster ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏