What kind of statistical analyses can I do with my data? 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
This is what your post looks like to me:

"I have these data, what can I do with them?"

The answer is "A LOT". What do you want to do exactly? what is the goal?

From the topic, I assume your goal is to find the relations between "Keyword", "Average Position", "Clicks", "Cost", ... with "Impressions". If this is true, then you have multiple predictor variables and a target variable (Impressions) in which you would like to know the relation. This can be done through multiple statistical techniques such as: 


Pearson Correlation
Spearman Correlation
Kendall Correlation
Mutual Information
Simple regression (and checking importance of each predictor variable)
RReliefF algorithm etc.