queryminer was born out of a real passion for improving on a very difficult (but rewarding) data analysis process—search query mining.
Like many search marketers we had been using Excel to analyze our AdWords Search Query Reports. We dug deep into the data and developed methods for extracting value quickly from large data sets, but we never felt that we were maximizing our opportunities; especially when it came to eliminating waste by finding new negative keywords.
We paid dearly, by-the-click, for the knowledge locked in our AdWords search term report, and we knew that there had to be a better way to extract that hidden value.
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