Cool. So addressing attribution, this is something that we took on, I think, first in the CTV industry that if you want an SMB market to invest in CTV, you have to provide them a way to measure that target and measure the effectiveness of that. And so with verified visits, we essentially have multiple data integration partnerships in order to have as many signals as possible in order to measure, you know, not who has responded to which ads and which campaigns. And so we also have an identity graph that is virtually every household in The United States. And every interaction, every tracking pixel call, every bid request, all of the underlying technology at scale are contributing to identity graph. Which then contributes to the attribution. In regards to, like, how people feel about it, so in CTV, there is no click on an ad. You can even if you're watching on your phone, the you and let's say the Disney app, you're not generally allowed to click on the ads. So we do what's called cross-device measurement. Meaning, the first device is the device you're watching TV on, which is generally a television in your living room, bedroom, family room. And the second, third devices are your phone, tablet, computer. We connect those dots through our identity graph and then we report that data to our customers, and then we send that data out to, I think, approximately 11 other attribution platforms. So our customers not only get data from MNTN Inc., they get it from third-party mixed modeling tools, from multi-touch attribution tools, from Google Analytics. So they have a range of sources in order to look at performance for MNTN Inc. and also look at it in comparison to wherever else is spending money search. Social, or any other channels that they're engaged with for their marketing.