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In select BlueConic connections, you can use the Generate recommendations data processor to generate content and product recommendations for a segment of profiles that can then be mapped for export in the CSV file.

Adding this data processor to your tenant

By default, this plugin is not installed in BlueConic. To install, navigate to BlueConic settings > Plugins, click the Add plugin button at the top right, and register the external URL below.

https://plugins.blueconic.net/export_processor_recommendations/index.xml 

For more detailed instructions, review the article Overview: What are BlueConic plugins? If you need further assistance, reach out to BlueConic Support.

Adding this data processor to a connection

All connections that support data processors have a step on its export goal page to add data processors (e.g., "Modify your data before the export"). In that step, use the search box to add "Generate recommendations"; once added, it appears in a numbered list of data processors activated for that connection.

For more information, review the full article Using data processors with BlueConic connections.

Configuring this data processor

The Generate recommendations data processor requires some configuration to ensure that BlueConic exports the data as specified. To make these configurations, click the cogwheel icon next to "Generate recommendations" in the numbered list of data processors. This opens a window with the following settings:

• Collector: Choose a product or content collector in your tenant to use for recommendations.
• Items: Configure the algorithm and filters that determine how and when an item is recommended.
  • Enable fallback (optional): Define a fallback set. If the other recommendation sets do not produce enough recommendation items, the fallback will fill the empty spots.
• Item data to include: Select the metadata fields you want to be made available for mapping.
• Advanced settings (optional):
  • Export recommended items as separate rows: By default, the recommended items are exported in a single row where each item's metadata is exported under separate fields. Enabling this option will export each recommended item as a separate row.
• Click OK to save your settings.

Sample scenario for using this data processor

As an alternative to open-time email recommendations, this processor can be used to push recommendations and their attributes to an external system, like an email service provider (ESP). Then, on the ESP side, the data can be used in an email template to deliver personalized recommendations.

By following the configuration above, you can now select the different attributes in the mapping step.

To result in a file with three columns (i.e., profile ID, Recomm - Name, and Recomm - URL) and data stored in each row, map your data as follows:

To result in a file with different columns for each recommendation (i.e., profile ID, Recomm 1 - Name, Recomm 1 - URL, Recomm 2 - Name, Recomm 2 - URL, etc.) and data stored in each column, map your data as follows: