Matt Paulson caught click fraud from .edu addresses running ten times higher than normal email providers. His team traced suspicious IP patterns and added safeguards like frequency checks and CAPTCHAs. Most marketers never dig this deep into their data.
I think if I do have a superpower, it's digital advertising. And I think maybe what makes me a little bit unique is I have a real technical depth of understanding of how these things work. And I was dealing with a bot click issue over the weekend where some of our emails for what we call more corporate email service providers or universities, the .edu emails, they were clicking through at a rate 10 times higher than Yahoo and Gmail. And it's like, well, Wow. These can't be real clicks, so let's figure it out. And turns out they weren't. So we put extra kind of checks where like, you know, if we think you're a bot because you're a .edu address and like the same IPs click through a whole bunch of times within the last 24 hours, we'll make you like go through a CAPTCHA to prove that like, yep, you are a real person. And like normally you would never think of this, right? Because like you have a Beehive account or a ConvertKit account, you send out an email and like, oh, that's my click count. But like people don't really dive into the depth and like you don't understand what problems people have because of bot clicks. Like, but we do. And like we just go to that level of detail in ways that most people don't. And that's one of the reasons we're successful.
