How To Enhance Your Google Analytics Reports Through Table Booster

On with 0 Comment
If you own a website or a blog, you must be familiar with Google Analytics (GA). Through this excellent web analytics tool, we get vital data about our site's traffic. Standard GA reports are shown in tables with different columns filled with relevant values. These reporting tables are generally sorted on one of the columns. Human eye is always less receptive to the numbers, that's why we've invented different graphical representations to analyze the data in a better way. Today, I'm going to share an excellent tool for GA, which brings new life to the default tables shown in Google analytics.

This excellent tool is called Table Booster for Google Analytics available as a Google Chrome plugin. This excellent plugin adds three new visualizations to the columns in the data-grid of GA reports. It's completely free and makes data-crunching fun and easy-to-understand. Once you've installed this plugin, simply click 'Activate Table Booster' button on the top left of your dashboard. Once activated, you're ready to get more out of your GA report tables in the following three ways.

Google Analytics Table Booster

Bar chart - This gives you a good view in the form of small bar charts letting you easily visualize larger and smaller values. These bar charts take the minimum and maximum value from the column and are drawn proportionate to that. This gives you a clear indication of each value without even looking at the numerical value itself.

Heatmap - The second form of visualization is a heatmap and it's my favorite. Alarming or critical values are automatically highlighted in dark red and the healthy data in colored with green color. The intermediate data is colored in different variants of red. This visualization is very useful in finding out critical values from the long data table.

Comparison - And last but not the least is the comparison visualization. It shows the deviation from the average value of the column on both positive and negative sides. Positive deviation is colored in green color while the negative deviation is colored in red. This visualization is very handy for finding our critical data from a heap.

You can enable and disable these visualizations through toggle-buttons above each data column. Although you can enable all three visualizations together in a single column, but for better analysis, I'll suggest you to view them one-by-one for a single column.


Post a Comment