Subtitles section Play video Print subtitles Youtube subtitles download by mo.dbxdb.com Thank you for coming. >> Move us all, thank you. Cool, so you guys this is awesome, I've been watching the lectures in this course, isn't it absolutely amazing the content? And now you're stuck with me today. >> We'll, so how that goes. Unlike Paul, when he was talking in the Q and A, and you guys asked him what he would do if he was at college today and he said physics, I actually indulged myself. I went in, I went and did physics, did physics at Cambridge and I think physics is an amazing class to give you transferable skills that are really useful in other areas. But I guess that's not, that's not why you're listening to me today. Like, physics isn't the class, like, so I paid for college doing online marketing. Direct sales marketing. I started with SEO in the 1990s. I created a paper airplane site. I had a monopoly. In the small niche market of paper airplanes globally which you know, when you want to start a startup also see how big the market could be in the long term it wasn't great. But what that taught me was how to do SEO. And back in those days it was Altavista, and the way to do SEO was to have white text on a white background five pages below the fold. And you would rank top of Alta Vista if you just paper airplanes 20 or 30 times in that text. And that was how you won at SEO in the 1990s. Like it was a really easy, easy skill to learn. When I went to college, being a physicist, I thought paper airplanes would make me cool, and I was actually the most nerdy person in the physics class, so I created a cocktail site. Which was how I learned to program. And that grew to be the largest cocktail site in the UK. And that really got me into SEO properly when Google launched. So with Google, you had to worry about page rank, and you had to worry about getting links back to your site. Which basically, at that stage, meant one link from the Yahoo directory. Got you to the top listing in Google if you had white text, on a white background, below the fold, as well. When Google launched AdWords that's when I really started to learn how to do all my marketing. And that was buying paid clicks from Google, and reselling them to eBay for a small margin of like 20% using our affiliate program. And that was what really kicked me into overdrive into doing what everyone nowadays talks about is growth, or growth hacking, or growth marketing. And in my mind it's just internet marketing. Using whatever channel you can to get whatever output you want. And that's how I paid for college and how I ended up going from being a physicist to a marketer and transitioning to the dark side of the force. So what do you think matters most for growth. You've had loads of lectures and people have said it over and over, so what do you guys think matters most for growth? Someone give me an answer. >> Great product. >> Great product. I agree, great product. What does great product lead to? >> Customers. >> Customers. And what do you need those customers to do? >> Spread the word. Someone said stay on your site. Someone said that. That's it. Retention. Retention is the single most important thing for growth. Now we have an awesome growth team at Facebook, and I'm super proud to work on it. But the truth of the matter is we have a fantastic product. But getting to work on growth at Facebook is a massive privilege, because we're promoting something that everyone in the world really wants to use. Which is absolutely incredible. If we can get people on, and get them ramped up, they stick on Facebook. So many times I go advise multiple startups, my favorite was working with Airbnb, but I've worked with Coursera, I've worked with other ones that haven't done as well as those guys. But the one thing that is true over, and over, and over again is if you look at this curve. The sentiment, the active, versus number of days from acquisition. If you end up with a retention curve that ascentotes to a line parallel to the x axis. You have a viable business, and you have product market fit for some subset of market. But most of the companies that you see fly up, we talk about growth hacking and virality and all of this other stuff. I'm gonna try so hard not to swear, but it'll happen. Their attention curve slopes down towards the X-axis, and in the end intercepts the X-axis. Now when I show this chart to most people they say that's all well and good. You had a million people a day in terms of growth when you started the growth team at Facebook, or you were at 50 million users. You had a lot of people joining the site so you had a ton of data to do this. We used this same methodology for our B to B growth. Getting people to sign up as self-service advertisers, we used this analysis to understand how much growth we were gonna have in that market as well. And in that place, when I joined Facebook, the product was three days old. And within 90 days of the product launching, we were able to use this technique to be able to figure out what the one year value of an advertiser was, and we predicted it for the first year to 97% of what the number turned out to be. So I think it's very important to look at your attention curve, and this is how we did it. If you see here. This red line is number of users, who have been on your product for a certain number of days. So, a bunch of people, that should say zero, a bunch of people will have been on your product, all of your users will have been on it at least one day. But, if your product's been around a year, or whatever, you will have zero users who've been on it 366 days. Make sense? The curves sensible? Cool. So what you then do is look for all of your users, who have been on your product one day. What percentage of them are monthly active. 100% for the first 30 days obviously, because monthly active they all signed up on one day. But then you look at 31. Every single user, on their 31st day after registration, what percentage of them were monthly active, 32nd day, 33rd day, 34th day? And that allows you, with only something like 10,000 customers or whatever, to get a real idea of what this curve is gonna look like for your product. And you're gonna be able to tell does it asymptote. And it'll get noisy out towards the right-hand side. Like I'm not using real data. It'll get noisy out towards the right hand side, but you'll be able to get a handle on, does this curve flatten out or does it not. If it doesn't flatten out, don't go and do growth tactics, don't go and do virality, don't hire a growth hacker. Focus on getting product market fit. Because in the end, as Sam said in the beginning of this course, idea, product, team, execution. If you don't have a great product, there's no point executing well on growing it. Because it won't grow. Number one problem I've seen inside Facebook for