You can edit columns within every layer.
The listed columns change according to the layer you are in and you can find them to the rightmost in your dashboard.
Once you click the edit columns button, you can arrange columns or choose an already saved column display for the layer you are in.
On the left-hand side, the displayed metrics will change depending on the layer you are in.
On the right-hand side, you can choose the metrics you want to display and change the order of them to personalize the dashboard.
For example, You can edit columns for ad performance, in-app conversions, cohort analysis, settings, and custom columns for your campaign layer. The related metrics are shown under their own section in the middle.
After we have looked at how to navigate, use and edit the default columns, we can look at how we can use the feature of custom columns.
In principle, you can create any custom columns for new metrics provided that they can be defined using arithmetic operations (+, \, *, - )
Let us look at an example:
Say we want to look at average daily spend over 30 days. ( Time frame used on the dashboard should be 30 days in this case).
First we go to the edit columns covered in the first part of the article (or link to column navigation here).
Then, we scroll down to the custom column section and press on “New Custom Column.”
That will take you to the following window, here, you can start by adding a metric from the drop-down menu, in our case we will take Spend.
After that, we choose which operation to apply, like in this picture:
After that, we can use either a metric or a number.
Here we use two metrics,
As you can see in this final screenshot, we used 30 to see the average daily spend over 30 days.
Important notes: choose the right column format to prevent confusion
Choosing intuitive column names and matching descriptions is immensely helpful to make things clearer.
And there you have it!