Step 4: Setting the Time Period and Interval of Analysis

To zero in on a particular stretch of time, you can set the time period for the analysis. You can also choose time intervals to segment the data (for example, by year, by quarter, or by month). Use the menus in the top-right corner of the chart to set the time period and interval.

When setting a specific date range for the time period, make sure that the start date is at the beginning of the interval and the end date is at the end of your interval.

For example, setting a time period from January 1st to March 1st and choosing a monthly interval shows March as a datapoint, but ignore every day in March except March 1. In that case, you should make your Time Period from January 1 to March 31.

Step 5: Group by / Segmenting the Analysis

To segment your metrics by a data dimension, click the Group by menu at the top left of the chart. This reveals a dropdown including all available dimensions of the first metric included in the list.

You can choose None to prevent a metric from being segmented. For example, you might want a metric that returns total revenue without being segmented, while having another revenue metric segmented by region.

Go back to your average revenue per order example and set the Group by to promo code. This shows you the average revenue per order for orders both with and without a promo code.

If the metrics included in the analysis are built on different data tables, a pop-up allows you to select the matching data dimension in each table. The goal here is to find dimensions that share type of values for segmentation: