Post by parvej64 on Oct 23, 2023 0:51:01 GMT -5
Remember that their main task is to make your work easier. Only add those that are of real value to you. Unnecessary reports create information noise, and digging through piles of unnecessary information takes up your valuable time. . Moving charts You're probably very familiar with the standard blue line charts found in almost every report. This is not all that Google Analytics can present to you. If you want to see your data in a more interactive way, explore moving charts. You can switch to a moving chart in most reports. Just use the button marked in the image below.
It is located on the right side of the screen above the main graph. Moving chart Fig. Button to switch the view in GA to a moving chart Then select what items you want to follow. You can use photo retouching 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 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. 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.
It is located on the right side of the screen above the main graph. Moving chart Fig. Button to switch the view in GA to a moving chart Then select what items you want to follow. You can use photo retouching 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 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. 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.