Is there an explanation on how CHEQ determines bot traffic? I figure it’s likely they wouldn’t publicize that information since it’d probably be seen as a risk to their business, but this is a pretty big claim to make without substantiating it. Tbf, I also probably wouldn’t understand their methods even if they did explain it, but it’d be nice to have.
CHEQ’s data for this report is based on 144,000 visits to its clients’ sites that came from X during Super Bowl weekend, from Friday, Feb. 9 up until the end of Super Bowl Sunday on Feb. 11. The data was collected from across CHEQ’s 15,000 total clients. It’s a small portion of the relevant data, and it’s not scientifically sampled, but it nonetheless suggests a dramatic trend.
CHEQ monitors bots and fake users across the internet in order to minimize online ad fraud for its clients. Tytunovich’s company accomplishes this by tracking how visitors from different sources, such as X, interact with a client’s page after they click one of their links. The company can also tell when a bot is passing itself off as a real user, such as when a fraudulent user is faking what type of operating system they are using to view a website.
I mean, that’s somewhat informative, and I could guess at some of the behavior they’re looking for, but it doesn’t explain much in how they determine what behavior exemplifies a bot vs a human user in more complicated scenarios.
Is there an explanation on how CHEQ determines bot traffic? I figure it’s likely they wouldn’t publicize that information since it’d probably be seen as a risk to their business, but this is a pretty big claim to make without substantiating it. Tbf, I also probably wouldn’t understand their methods even if they did explain it, but it’d be nice to have.
I mean, that’s somewhat informative, and I could guess at some of the behavior they’re looking for, but it doesn’t explain much in how they determine what behavior exemplifies a bot vs a human user in more complicated scenarios.