In the previous post we reviewed the Google search terms analytic tool, called Google Trends. Here we present an example of how to apply this free tool for acquiring the trends and comparing the various terms.
Tag: Google
Since I’ve now completed the series on website analytics and data analysis, I want to sum up these posts, most of them pertaining to analytics performed with Google spread computing.
We have already mentioned the MapReduce distributed computation style in data analysis for computing clusters in the previous post. Here we want to touch more on the matter of implementation of this strategy for distributed hardware.
This post is a continuation of the previous post on Advertising on the Web and Data mining. Here we conclude by reviewing some basic algorithms for placing ads on the web.
As we have touched on some basics on Clusters in Data Mining, we want to consider the computation techniques applied for clusters. Those techniques stand in line with the data mining for web traffic analysis.
In the previous post I’ve shown the way to apply website traffic data (time series) in order to find any correlation with organic search queries from the Google database in time span. Here I want to show two more features of Google Trends (former Correlate): (1) finding search terms that have a pattern of activity over time similar to the custom query and (2) finding query terms whose popularity over time matches any shape you draw. Those features provide some insights into search traffic optimization and might be a support tool for Google Webmaster Tools.
Both my partner and I were asking: what factors influence website traffic? How does one find any correlations in business intelligence related to organic searches? This post was born out of my attempt to join together both traffic data from the business blog (data source being Google Analytics) and real organic queries done in Google, in order to get some insight into which items my traffic correlates with, in specific how these items ( i.e. those which people are searching for) might have influenced website traffic.
The content war is currently waging on the web. What particular keywords bring organic traffic to my site? Where is my website positioned in the users’ organic search using these keywords? How does my page get top ranked? These concerns are relevant to many site owners and business bloggers. This topic is to help you to master Google Webmaster Tools (Search console) as the means to see how your page content performs before the click.
Analytics. Google. Social networks. Marketing campaign. Business Intelligence. It takes strong nerves to deal with all this in the vibrant, growing web business. The first thing necessary is to be real-time aware of what happens within an enterprise. Here I have chosen as notable some of the most usable tools for helping to monitor, visualize and compare analytics’ data.
In this video, Dale Stokdyk, explains how to scrape Search Engine Results using OutWit Hub with custom scraper.