Feeling stuck with Segment? Say 👋 to RudderStack.

Log in
Google BigQuery
Criteo

Integrate your Google BigQuery Data Warehouse with Criteo

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 and all of your other cloud tools.

Easy Google BigQuery to Criteo 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. 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 and RudderStack

Easily send conversions

Send existing events to Criteo as conversions with no additional code.

Track client and server-side

Manage client-side and server-side conversions for Criteo with a few clicks.

Easily send audience data

Send custom audiences from your warehouse to Criteo.

Frequently Asked Questions

With Rudderstack, integration between Google BigQuery and Criteo is simple. Set up a Google BigQuery source and start sending data.
Pricing Google BigQuery and Criteo can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery and Criteo.

Use the Google BigQuery integration with other popular destinations

About Criteo

Criteo is an online display advertising platform that offers impactful advertising solutions to increase your website traffic. It uses machine learning algorithms to deliver personalized retargeting and predictive product recommendations. With Criteo, you can also create brand awareness, boost sales, drive conversions, and manage app installs.

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.