Patrik Fagerlund

And that algorithm is based on interest.

And it's machine learning.

I know that's a buzzword, but we've been doing that for like five years.

And we basically train it every day.

And if we go up against any sort of legacy technology when it comes to agency or ad tech,

We pretty much outperform them every time when it comes to mobile because we just focus on mobile.

So we don't really have a need for cookies, and it's all based on interest rather than clicks or other sort of simple metrics.

So if you're a customer, you typically pay 50% of that spend to make use of the technology.

If you go, then of course it's a volume game.

The more you pay, the less we charge basically.

No, it's going to be a bottom because we, I mean, obviously we're going to have a transaction fee.

We make use of AWS so we can scale it as fast as we want, but they're going to charge us quite a bit as well.

So it will never go down to zero.

I mean, if you look at that model, the pure tech model, we actually have, I mean, since we have full stack, we both service demand and supply.

We have a cut on the demand side, which we just talked about, and then there will be a supply cut as well in order to service the supply.

On top of that, we- Give me a real example of that.

Yeah, so it could be Hearst Group.

Okay, or People Magazine.

Yeah, I mean, the top publishers of the world, basically.

And it might be the traditional publishers.