Deep analytical mining for google PPC filtering

Currently I am pretty large casino affiliate marketing person, but looking to move into PPC. I have some insight into data mining, trends and filtering large amounts of data and have been looking into ways to filter google PPC traffic with scores on real user vs bot vs google snoop. I have not looked at cloaking services as I do not want to skew my approach on this. My model will however need large input from google PPC users within Gaming, cloaked, and of course legitimate PPC campaigns. Currently my approach would consist of sending basic data to an API and getting a score back, all data sent would be visible by users and simply return a numeric value. If interested in working with this experiment let me know, I am not looking for any monetary payments simply large scale data sources to use and of course share the scores with all users. PM for more info and if there is any interest I will post updated here.

In my experience you’re going to need to learn cloaking to get any type of casino affiliate links on the major PPC platforms.