It is important that you dig deeper into reports by slicing and dicing the data available in the default reports. Looking at a single metric is seldom helpful in deriving reliable business intelligence.
Here are some methods:
Date range helps in viewing and comparing historical data. Controlling the active date range is helpful for the following reasons:
For comparing historical data, first enable the Compare to Past option and then provide a set of valid date ranges.
Here is an example of setting the date range:
To begin, choose a 'Web Property' and associated Profile from the Accounts List menu, and then click on any desired report. Then click the Compare Metric link (top right of graph display) and select the secondary metric you'd like to compare. This method is helpful with respect to determining if two metrics share any sort of cause-&-effect relationship. For example, see the screenshot below where we're looking to compare Visits with Unique Visitors.
You can cross-segment your data within a default report by using different sub-dimensions.
The following example illustrates how to use the cross-segmentation option to see the classification of U.S. visitors in reference to different mediums they used to reach your website.
The report visualization control panel offers different options to slice and dice your data.The following example illustrates the use of pivot tables for segmenting your data.
We are interested in knowing the amount of traffic each source is sending to your website. Also, we want to classify this traffic into New Visitors vs. Returning Visitors. Pivot tables will help in accomplishing this task.
Webmasters are generally concerned about the technicalities of the website and differentiating factors which can have an effect on browsing experience. Apply similar logic as described in the above example to create customized versions of the following modules: