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            Create an Amazon Vendor Brand Analytics Data Stream in Marketing Cloud Intelligence Data Pipelines

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            Create an Amazon Vendor Brand Analytics Data Stream in Marketing Cloud Intelligence Data Pipelines

            Connect your Amazon Vendor Brand Analytics data to Marketing Cloud Intelligence Data Pipelines to pull in customer purchase data.

            Required Editions

            User Permissions Needed
            To create an API data stream: Admin
            To authenticate with Marketing Cloud Intelligence Data Pipelines: Admin in Amazon Seller Central
            1. On the Import tab, expand Data Streams.
            2. Click Add New.
            3. Select the Amazon Vendor Brand Analytics connector.
            4. In the General section, add an authentication. Before creating a connection, make sure that you’re logged in to Amazon Vendor Central to avoid a longer authentication process.
            5. In the Authentication Properties window, from the Marketplace location dropdown, select the location of your store or marketplace. You can have one marketplace per data stream. If you’re using more than one marketplace in your account, create a data stream for each marketplace. You can create as many data streams as needed.
            6. Click Next.
            7. Enter your Amazon Vendor Central credentials. Amazon sometimes requests your approval to share some of your data with Marketing Cloud Intelligence Data Pipelines.
            8. To change the mapping, at the bottom of the Create New Stream page, select Map to Model.
            9. To apply advanced settings, at the bottom of the Create New Stream page, select Advanced Settings.
            10. Click Create.
            11. Quality check your data.
              1. Create a report in the Amazon Vendor Central platform for the date range. On the Reports tab, select Brand Analytics Reports and then select Sales Diagnostics.
              2. Process the relevant data stream in Marketing Cloud Intelligence Data Pipelines for the same date range.
              3. Create a report, or pivot table in Marketing Cloud Intelligence Data Pipelines containing the same dimensions and measurements for the same report and date range.
              4. Compare the measurement totals to make sure that they align.
             
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