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Integrate your Google BigQuery Data Warehouse with Criteo Audience (Destination)
Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from your Google BigQuery Data Warehouse to Criteo Audience (Destination) and all of your other cloud tools.
Easy Google BigQuery to Criteo Audience (Destination) integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Google BigQuery Data Warehouse to track event data and automatically send it to Criteo Audience (Destination). With the RudderStack Reverse ETL connection, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.
Popular ways to use Criteo Audience (Destination) and RudderStack
Easily send conversions
Send existing events to Criteo Audience (Destination) as conversions with no additional code.
Track client and server-side
Manage client-side and server-side conversions for Criteo Audience (Destination) with a few clicks.
Easily send audience data
Send custom audiences from your warehouse to Criteo Audience (Destination).
Frequently Asked Questions
About Criteo Audience (Destination)
Criteo is an online advertising company that provides online display advertising. Criteo’s Audience API allows you to manage your contact lists and increase functionality by creating, deleting, and updating audience metrics, which you can use for your advertising campaigns. It allows you to target specific audiences based on unique demographics from your business, product, or service thus improving marketing workflows.
About Google BigQuery
Google BigQuery is a fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time. It is serverless, highly scalable, and cost-effective and is designed for businesses to analyze massive datasets and make informed business decisions. Google BigQuery also allows running complex analytical SQL-based queries using built-in machine learning capabilities.