Paul H. Müller


Paul is the CTO and a co-founder of Adjust. He is responsible for building and scaling Adjust’s technologies.

Spoofed attributions are as old as attribution itself. As soon as it was clear that there was a chance to randomly steal credit for users installing an app organically...

We’ve talked about the theory behind ad fraud: that is, how we think about the problem.

For many, machine learning is just a catch-all buzzword. After all, you could say it’s just a bunch of ‘if statements’, and (in some cases) you wouldn’t be too far off.

Moving beyond the types of fraud we discussed in part 1 of our theory series, it’s time we looked at the lack of distinction between fraud solutions.

In this article, we break down ad fraud in a new way - dividing the mass of methods between two very distinct approaches.

It’s time to talk about the poorly-reported elephant in the room: ad spend.

Find out here if users who leave ever come back.

What does this anomaly look like, and how can those of us involved in attribution beat it together?

In some ways, we’re slightly old-fashioned: we’ve gone with hosting our entire stack in a physical location, eschewing the whole cloud buzz. At Web Summit in Dublin this morning, we explained exactly why.

When the Safe Harbor agreement was put in place in 2000, its intentions were to align US companies with EU personal data protection principles, but now a new reform is necessary to truly protect the rights of EU citizens.