I’ll take the first one. So, I did talk about the Viant Data Platform. Just so we’re clear, we have for a number of years, probably since 2015, 2016, allowed customers to onboard CRM data, like email addresses, physical addresses, things like that in our UI itself. But our Viant data platform, really that is taking it another step further. Obviously, since call it 2015, 2016 marketers are now housing that CRMM data. They now have their hands on that in a centralized place. Back in 2015, 2016, they really didn’t have it housed essentially, and it really wasn’t at the fingertips of a lot of marketers. Today, those exist in clean rooms with companies like Snowflake or Amazon. And really what the Viant Data Platforms has done is made integrations really cross cloud no matter where you are hosting that data. And I’ll tell you, for as many customers that have moved to these, these clean rooms, they don’t really know how to get use out of it. A lot of these clean rooms have good functionality in general as a database, but they aren’t great around the marketing services. So they need companies like us to integrate with them. So a marketer will house say a Snowflake, we instantly help match their customer data with any of -- anyone in our ecosystem, whether it be a publisher, a data company, we create that match and then allow for -- easily allow for targeting in authenticated environments. But more importantly, it’s really around measurement with device IDs and everything going away, the future’s going to be customers using their own data stored in, let’s say their clean room. And they’re going to be able to match that with any ad exposures that they have. But they need companies that help represent them in market to get the most use out of their first party data. That’s really where the Viant Data Platform comes in. And there’s an incredible set of other features here. We’re really excited about a lot of the things that are already in this platform. And it’s why the adoptions, we’ve seen recently been so good. There’s a ton of stuff around workflow automation. It essentially creates a single data scientist and it gives them the power of 10 to 20 more people. It really provides for a lot of workflow efficiencies. We’re really excited around this. There’s not a lot of companies, a lot of people are talking first party data, but it’s not a lot of companies matching across clouds getting used -- getting their clients a lot of usage of their first party data, both for personalized messaging as well as measurement.