Then select what items you want to follow. You can use the slider to see how they change over time. Google Analytics features - changes in value Google Analytics features - changes in value Fig. An example of the change in the average value of orders over time in Google Analytics By arranging the data in this way, you will be able to spot any anomalies very easily. Notice photo retouching the images above, especially the orange ball representing the Referral Channel. The interpretation, of course, depends on the metrics we have chosen. In this particular case, it can be said with certainty that on August , we achieved particularly high revenues from referral links with a simultaneous high value of a single basket. Something that you might have missed on a standard report immediately catches your eye.
Chart rows We will dwell a little longer on the charts. While Analytics is a very good solution, the underlying data representation rarely shows really interesting information. This is because by default you see everything grouped together. Although you can use segments, there is a simpler way to make a chart like this: A chart that groups data Fig. Chart presenting grouped data go to the chart that shows more information. Not only general trends are visible here. You can investigate what influenced the anomalies or perform a comparative analysis. Session chart Fig. Graph showing more information, including sessions and traffic type This is what Chart Rows are for.