LinkedIn Ads – BigQuery
Last published
2021-11-17
Categories
Marketing Advertising
Type
Data Model
Integrates with
The LinkedIn Ads Kit combines data from multiple entities in the LinkedIn API and provides a full data model for tracking paid LinkedIn Ad performance and insight analysis.
This Kit can be used in combination with the Modular Marketing Logic Kit to create a full spectrum marketing analysis table. Find out how to do this using the directions in the Modular Marketing Logic Kit preview.
This Kit includes…
- Data ingestion from the following LinkedIn entities:
- Logic that orchestrates and transforms raw LinkedIn data to create a data model with related paid entities
Minimum RPU Consumption: 6
Data flow and data model diagrams
Configuring this Kit for use
Variables
In this Kit, there are three variables that are used to make for dynamic use of target configuration.
- {Dataset_Linkedin} is used in all Target configurations and queries as the target dataset ID.
- {LinkedIn_Alert_Group} is used as the alert email address(es) for when a river fails.
Go to the Variables menu on the left side navigation bar and create variables for Dataset_Linkedin and LinkedIn_Alert_Group. Then fill in the values as the BigQuery dataset where you would like the data to land and the email address(es) to which you would like the failure emails sent.
Connections
Kits are imported with ‘blank’ source and target connections. In order to use the kit, you have two options:
- Swap out blank connections with existing connections
- Add credentials to the blank connections that come with the imported Kit
Have questions about this Kit?
Set up a meeting with a Rivery solutions engineer.
