And so making sure that we’re selling through the products and the optimizations that are going to work for our advertisers and help them grow their business, that’s what led us to see success with a pretty large variety of sectors. But some of the ones that we’ve talked about recently that I can share with you is we’re seeing good traction with CPG, restaurants and traveler categories that have been doing well on the platform and combinations of an e-comm businesses also doing well, and that’s going to align well to both — what I talked about earlier which is the really good progress we’ve seen on 7/0 Pixel Purchase optimizations and what that’s meant for lower-funnel revenue growth year-over-year and quarter-over-quarter. And then also a little bit of the success that we’ve seen with those new brand takeover products and the traction that we got with those in Q3 that was helpful to the sequential improvement in revenue there.
So, hopefully that gives you a little bit of a sense of what we’re seeing both on the subscription side and the traction with different verticals of advertisers.
Evan Spiegel: I could speak just briefly to the progress we’ve been making on the tech side of things. We’re making a lot of headway with our ML platform, being able to run bigger models that have more features. So I think that — I feel good about our progress there, obviously more to do. I think kind of the atomic unit of our performance business right now is 7/0 purchase optimization. That’s working well for a lot of advertisers. And so, really what we’ve been trying to do is then build on top of that to solve slightly more sophisticated advertiser needs. So, for example, with our app business, we’ve been beta testing event optimization for app advertisers. So, rather than just optimizing around an install, optimizing around something like completing a level or something like that in a game.
And those sorts of optimizations are really important for certain performance advertisers. So, I think taking that sort of fundamental building block that’s working with 7.0 and then iterating on top of that to meet more advertiser needs is really important right now. I also think there’s more we can do in terms of advertiser cold start for the long tail of advertisers. It takes maybe a little too long and maybe a bit too much spend for these smaller advertisers to get ramped up and to find conversions quickly. So, we’ve also been iterating a lot there and making progress there. But overall, I feel good about where the various tech pieces are right now. And one of the things we’ve just been learning as we go deep with these bigger customers is that it’s become a lot more about the way that they’re using these different pieces of our platform together.
So really auditing, signal quality, for example, going deep to make sure advertisers are bidding against the right goals for what they’re measuring for. And I think just taking that customer success lens across all of our teams, from product to measurement, PMM, engineering, of course, to debug these more complex setups has yielded a lot of positive momentum as well.
Operator: Thank you. Our next question is from Lloyd Walmsley with UBS.
Lloyd Walmsley: Thanks, a couple of parts to my question here. On the ads within My AI search, can you talk about how those are performing for you all, for advertisers? Are those all powered by Bing or some of them your own ads? And have you integrated that signal in the targeting across the platform? And I guess, just broadly, while we’re on the topic, how do you think about turning to partners like Microsoft Bing or others, just in general, to enhance monetization across the platform more broadly, similar to what we’ve seen at Pinterest? Is that something you guys think about doing beyond the Bing integration?
