Moshe Vaknin

So that's the challenges that URB does.

Perfect.

UAP has an agreement about 4,500 app developers as publishers, as an inventory source.

Big companies like Cheetah Mobile, Pandora, this kind of type, big publishers, we have kind of relationship with them.

We have an integration either through an API or an SDK.

Now, through this interface, we learn a lot about the data.

We keep privacy.

We don't know what the users are there, but we do learn about their purchasing habits, about what they like mostly.

For example, we recommend to some users shopping apps, and we'll realize that some of the users really don't care about shopping apps, for example.

So we categorize these users, don't like shopping apps, and recommend them gaming apps, and we'll see their response.

We'll then recommend them entertainment, communication apps.

That's over time, we obviously learn their behavior and what they're looking for.

It's best on recommendation engines and predictive analytics.

If you look at the console Amazon has done, there's a good similarity.

Exactly.

Once I'm getting understanding your behavior of action, your behavior of purchasing habits.

will categorize you as a user that actually likes certain things and will continue to recommend you to use different apps.

And all is focused really on mobile apps.

No, we don't.

We really keep this very privacy.