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Integrate and Analyze Marketing Data with Marketing Cloud Intelligence
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            Create a LinkedIn Ads Data Stream in Marketing Cloud Intelligence

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            Create a LinkedIn Ads Data Stream in Marketing Cloud Intelligence

            To view LinkedIn ads, create a LinkedIn Ads data stream.

            Required Editions

            User Permissions Needed
            To create an API data stream: Admin

            To create a LinkedIn Ads API data stream, you need:

            • A valid Linkedin Ads username and password.
            • Access to LinkedIn Ads manager with permissions to at least one ad account.
            1. On the Connect and Mix tab, expand Data Streams.
            2. Click Add New.
            3. Select the LinkedIn Ads connector.
            4. In the General section, enter your credentials, and select the profile that you want to pull data for.
            5. To add a data source authentication, click Add New and enter your LinkedIn Ads credentials.
            6. Set the time period for the initial data fetch. You can process data up to the past 180 days.
            7. In the Extended Properties section, you can set these properties:
              1. To retrieve data from deleted or archived campaigns, select Get Archived Campaigns.
              2. To apply a demographic view, select the breakdown from the dropdown. The retrieved data is on the account level.
              3. To pull data with no impressions, select Get Data With 0 Impressions.
            8. To change the mapping, click Mapping. Otherwise, you can always access mapping by selecting Map to Model at the bottom of the Create New Stream page.
            9. To define advanced settings, at the bottom of the screen, select Advanced Settings.
            10. Click Create.
            11. Quality check your data:
              1. Create a report in the LinkedIn Ads platform for the required date range.
              2. Process the relevant data stream in Marketing Cloud Intelligence, filtered to the same date range.
              3. Create an identical report or pivot table in Marketing Cloud Intelligence with the same date range, dimensions, and measurements.
              4. Compare the measurement totals to make sure that they’re aligned.
             
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