Use Cases to get you started with Data Explorer Widgets.
Measures and Dimensions:
These are the two basic ingredients of any query. Measures are equal to metric values from any data source i.e Pressboard Average Time. Dimensions determine how selected metrics are broken down i.e 'Story Campaign' Name, 'Story Property' and more.
Other functions:
Optionally, you can select any Dimension to filter and isolate query data. For example, Pressboard Analytics Reads from a specific 'Traffic Source' (Facebook).
See below list of most frequently used Dimensions which can also be applied as Filters to a widget query.
Dimensions
- Report Type (Google Analytics, Facebook Ad Sets etc.)
- Story Property Name
- Story Advertiser Name
- Story Campaign Name
- Story Label Name
- Story Label Value
- Story Publish Date (All Time, Last 30 Days, This Year, Custom)
How to use Label Name & Values
Labels tagged to your campaign stories can help you add more colour to queries such as "how well did vertical X perform on CTR last year" or "which of our properties delivered the highest average active time ?" and more.
Structure your aggregate data by what matters to your business. Refer to this doc for examples to get you thinking about how Labels can apply to your business,
Example
Pressboard Analytics Average Time on Page or Google Analytics Average Page View Duration split by Content Type or Industry.
Label Name & Value Filters
Include Story Label Names & Values in a query but ALSO isolate the results strictly against a subset of Name and/or Value filters. Previously, a query would include everything.
Example
# of Reads or Active Time by Industry [Name] = Beauty [Value] but also apply a filter to only include results from Stories where the Content [Name Filter] was Client Supplied [Value Filter] or Studio Created [Value Filter]
Chart Type
Select the visualisation that best fits your data.
