Yes. I mean, look, one, we don't try to gate growth. So we sort of look at a platform as it's going to develop and evolve as it does. But understanding these models gives me confidence that as we get more density of advertisers, we're actually going to have expanded spend for gaming customers, not diminished spend. And this is a bit counterintuitive, but here's why. The model today, if you go back a year prior to us getting into e-commerce and shops, you ended up having 1,000 impressions to show a user and you bombarded them with games. Well, that's not a great offering. It's as if you had a social network that was showing short-form video and said I'm only going to show golf videos. Everyone who's on the golf videos at that moment would churn. Well, in our case, the customers aren't churning. They're playing games, but they're not going to convert. And our conversion rates are really low. There are moments when the model knows a user is going to be in the game. When those moments happen, the CPM for a game advertiser is phenomenal. It's really, really high. Our average conversion rate is that 1% that we've given a year plus ago. So maybe it's higher now, but just for this example, let's use 1%. We're driving 10 game installs over 1,000 impressions, but we're probably wasting 80%, 90% of those impressions because the model knows in a tight percentage of impressions, games are going to convert, this user is ready for something new and the CPM there will beat anything else that comes along. So you go and bring in demand density. What happens? Now the model can better use all that access impression. And so if it does, what's going to happen is your gaming customer is not going to diminish. It's just going to be more targeted. So maybe impressions go down, CPM goes up for them, but everything is priced to revenue for our customers. So they get the same revenue out. And then these new customers better monetize the user and give them more diversity of content, which hopefully will train them to better engage with our ads. And then you take it to the next level, which is now all of a sudden, we're getting data from way more types of customers. We now know, let's say, tomorrow, someone buys a $5,000 handbag on a website, that's the data point we didn't have a year ago. That data point, my simple mind, can probably tell you that's a good user for Candy Crush if they haven't played Candy Crush. The neural net is going to tell you a lot more than that based on its correlations. And so you're building up a data set that doesn't just limit itself to the shopping category or the website advertising category. It helps enable better advertising for the gaming customers as well. So you put all those pieces together, and I'm really confident that we're not going to squeeze anyone in our platform. We're probably going to have expansion across the board as we add more demand density and get more data into the system.