The available widgets in a Dashboard are the following:
Tiles
Standard
Custom
Tables:
Standard
Custom
Power Tables
Charts:
Standard
Custom
Standard: are available metrics in the different platforms. Ex: Clicks on Meta
Custom: customized metrics you can create in "Custom Metrics" or calculated metrics
Ex: Clicks on Meta but only for Android devices
Ex: Spent $ Total = Spent $ Meta + Spent $ Google
For more information about Custom metrics, you can see this article
To add a widget in the dashboard, you have to click on the button "+Add Widget"
Tiles - Standard
A Tile is a numerical value from a single data source for a unique metric
You have to choose the data source, the account for that source, and then the metric you want to track from that source and its filtered date.
For example, we could track CPC from Facebook Ads for "this month"
Also, you can check the option "compare to previous period" if you want to see how the metric compares:
You can also apply a filter to the chosen metric:
You can filter by Breakdowns such as campaigns, ad accounts, country, device, etc, or you can filter for a specific metric, for example, impressions > 100
Finally, you can drag and drop Tiles and modify their size by clicking on
"Edit Dashboard" and then using the bottom right corner
Tiles - Custom
You can choose from a list of all custom metrics you created previously and add the date filter:
Tables - Standard
Tables are useful for choosing multiple metrics from multiple data sources
In the columns, tables are grouped by day, week, month, quarter, or year.
In the rows, tables are grouped by the metrics you choose. You can choose all the metrics you want adding first the data source, then the account, and finally the metric for each case
Tables - Custom
In the columns, tables are grouped by day, week, month, quarter, or year.
In the rows, tables are grouped by the custom metrics you choose.
Power Tables
They are tables that let you group rows and columns with different parameters for a single data source
First, you need to select the data source and the account. Then you can add as many metrics as you want, and with the date you want to filter
Example: for Facebook Ads we add Clicks, Impressions, and CTR
Once chosen the metrics you have to choose how you want to split them into the rows and columns:
Example:
Campaigns in the rows and as a second split "ad set"
Months in the columns
Another example could be Ads in the rows and Days in the columns:
Or Device in the rows and Weeks in the columns:
You can also apply filters in the Power Table:
You could build the tables of the previous examples but with conditions. For example, metrics "clicks" and "impressions" grouped by campaigns in the rows and by weeks in the columns, but only for some specific campaigns
Or for all that invested > 100 $
Lastly, Power Tables can be exported to Google Sheets automatically. You can schedule exports daily, weekly, and monthly. To see how the Google Sheet extension works you can see this article
Charts - Standard
There are 3 types of charts; Bar, Line, and Pie Chart, and all of them work for a single data source
In the Pie Chart, once you select the data source and the account, you can choose a single metric with a single Split that could be campaign, ad set, device, country, etc
Example: Spent $ on Facebook Ads split by campaign for "this month"
Also, you can apply filters to the chosen metric:
In the Line and Bar chart, you can also choose a single metric and a single split but in this case, you can group data in the columns by day, week, month, quarter, or year.
Example: Spent $ on Facebook Ads split by "campaigns" for "this month" and opened by week:
Charts - Custom
Pie Chart: in this case, you have to choose all the custom metrics you want to split in the chart with the date you want to filter.
Line and Bar Chart: in this case, you can choose all the metrics you want but you don´t have the split options you have in "Standard". Meaning you can choose N metrics from different data sources (created previously in "Custom Metrics") and then choose how to group them by in the columns: day, week, month, quarter, or year.