Mark Zuckerberg outlines a four-phase product playbook used for Threads, Facebook, and WhatsApp: (1) spark — build something that "sparks joy" and gets initial appreciation; (2) retention — make the product retentive so people return; (3) growth — scale community and encourage sign-ups; (4) monetization — only after retention and scale. He contrasts transient excitement (e.g., early ChatGPT interest) with durable retention and cites WhatsApp’s long growth path toward monetization, noting about 2 billion daily users for the product referenced.
Questions this video answers
2 billion people use the product every day.
Chapters
We just have this playbook for how we do this. And there's like, phase one is build a thing that kind of sparks some joy and that people appreciate. Then from there you want to get to something that is retentive. So that way people who have a good experience with the thing come back and want to keep using it. And those two things are not, they're not always the same. A lot of. There are a lot of things that people think are awesome but may not, you know, always come back to. I mean, I think, you know, some of what people are seeing now around like ChatGPT is part of that. This level of AI is. It's like a miracle, right? It's awesome. But I mean, that doesn't mean that everyone is going to have a use case every week, right? So. So I think that there's. First is like, create the spark. Second is create the retention. Then once you have retention, then you can start encouraging more people to join. But if they're, if people aren't going to be retained by it, why would you ask people to go sign up for something? So kind of step one, spark, step two, retention, step three, growth and scaling the community. And then only at that point is step four, which is monetization. We take a while to go through all those. I mean, we're really in some sense only getting started on the monetization of the messaging experiences like WhatsApp now with Stuff like business messaging took a while, but 2 billion people use the product every day, right? We scaled it pretty far, but I think with our model, that sort of works. So.