Okay, in this video, we're gonna talk about spam to our website, how to spot it, how to look for it, how to set up a monitoring for it. Google does try, especially when we're doing paid ads, they do try to monitor spam traffic, but it always good practice to set up a way to monitor your traffic for spam within Google Analytics. So we're gonna go ahead and discuss that, discuss what spam looks like, and how to spot it within our accounts, and then how to remove some common sources from our Google Analytics account. Now in the Google Analytics AU accounts, we'd go to admin, filter, settings, and then click, under filters and settings, we would go to click known bots, and it'd have a button for us. Google automatically includes that filter known bots within Google Analytics 4, so it does make that a little bit easier in that we don't have to do that. Now, let's look at what I've set here, which is an exclude internal traffic, and how we do that. But we'll also look at how to monitor an account within the Explorer setup. It's kind of a custom setup under user explorer to be able to spot and monitor for spam traffic within our website and within our analytics account. So with that, let's go ahead and get started. Often, the most common sources of spam within any analytics account, one's going to be your internal traffic, which we're gonna filter out. And then second, it's going to be bot traffic, that basically is scraping your website for phone numbers, emails, contacts, that kind of thing. Typically, how to spot kind of spam traffic is that they're going to have an engagement time of less than two seconds. Oftentime, two seconds is below the load speed of the website. Even if your website's super fast, below an 1/8 of a second, even if your website's super fast, below 1/8 of a second in onsite time or engagement time is most likely a bot. Often, we'll see with bot traffic that it's 0.00000 seconds, and that's clearly bot traffic, so, oftentimes, that'll be filtered out. We'll look at referral traffic, how to filter out unwanted referrals too. So, we'll do quite a bit within the next two videos.