Criteo let’s you target people based on two different sources of data, your own first-party data or Criteo’s shopping intent data.

The Audiences pipeline can be used to request and retrieve details about the audience being targeted by Criteo. You can also retrieve audience data such as the name of your audience, the description of the audience, the total number of users in an audience, the total number of matched users in an audience compared to Criteo’s Shopper Graph etc. It helps you understand how each audience segment performs in a campaign where you have used Criteo’s Commerce Audiences. The report also provides insights into the reach and overlap of each audience segment in your campaign. This can help you to refine your future advertising strategy.

Read more about this here

Configuring the Credentials

Select the account credentials which has access to relevant Criteo data from the dropdown menu & Click Next

Credentials not listed in dropdown ?

Click on + Add New for adding new credentials

Data Pipelines Details

Data Pipeline

Select Audiences from the dropdown


Select one or more metrics you would like to fetch from the Criteo platform. Each of the selected metric will create one or more columns in the database table in the destination warehouse. You can click on View Schema anytime to see the schema of the table being created.

Setting Parameters

Parameter Description Values

Advertiser ID


Audiences created through Criteo’s API will be returned for the designated advertiser ID. Enter the advertiser ID for which you want to retrieve the data in each run.


Delete or Append


This refers to the manner in which data will get updated in the data warehouse, with 'Delete' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Recommended to use "Delete" option unless there is a specific requirement.

{Delete, Append}

Default Value: Delete

Datapipeline Scheduling

Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.

Manual Run

If scheduling is not required, you can use the toggle to run the pipeline manually.

Normal Scheduling

Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.

Advance Scheduling

Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.

Detailed explanation on scheduling of pipelines can be found here

Dataset & Name

Dataset Name

Key in the Dataset Name(also serves as the table name in your data destination).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.

Dataset Description

Enter a short description (optional) describing the dataset being fetched by this particular pipeline.


Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".

Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here

Still have Questions?

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