I'm trying to analyze human intentions in clicking google ad word keywords.
In this dataset I have the usual adword details, for example
CTR = Clicks / Impressions CPC = Cost / Clicks CPA = Cost / Converted Clicks ROI = Total Conversion Value / Cost CVR = Converted Clicks / Clicks Weighted Avg Pos = WAP / Impressions and Ad position placement.
Basically, I can imagine a relationship between Keywords and CTR. I can do some psychological analysis, like opinion mining and emotion detection, like a vice. Still, I need to show different types of analysis.
So what kind of advanced statistical analysis methods can be applied to this data set? My data looks like this:
Keyword |Average Position| Average CPC| Clicks| CTR| Cost| Impressions
android app developers ,1 ,0.5, 21.79, 8.7%, 10.99, 250