- First, you need to register in ApiX-Drive
- Choose what data to transfer from Criteo to Google BigQuery
- Turn on auto-update
- Now the data will be automatically transferred from Criteo to Google BigQuery
Integration Criteo + Google BigQuery


Create integration of Criteo and Google BigQuery yourself, without programmers
Other available integrations
trial access
Automation capabilities of
Criteo and Google BigQuery
Transmit data at specified intervals from Criteo to Google BigQuery.

- Get account STATISTICS (by period)
- Get account STATISTICS (linear forecast)
- Get account STATISTICS (by days)
- Get campaign STATISTICS (by period)
- Get campaign STATISTICS (linear forecast)
- Get campaign STATISTICS (by days)
- Get BALANCE
- Add ROW
F.A.Q. on integration of Criteo and Google BigQuery
How is integration of Criteo and Google BigQuery carried out?
How long does the integration take?
How much does it cost to integrate Criteo with Google BigQuery?
How many integrations are available in Apix-Drive?
Criteo is a French company providing online advertising campaign solutions. Users are offered a dynamic retargeting service. The purpose of such advertising activity is those who have previously visited the website of the online store, or its former customers, who are encouraged to return to place an order using specialized advertising banners. The service can offer the creation of various types of advertising that are most suitable for the needs of the user, as well as the ability to use the Criteo potential customer base, along with the platform user's own customer base. More
The purpose of the BigQuery service is a quick and detailed analysis of the big data owned by the service. This is a great solution when traditional tools like Google Analytics are clearly not enough. To use BigQuery, an enterprise does not need to invest in expensive systems, and the cost of using the service depends on the amount of data available. The presence of SQL support and detailed documentation will allow beginners who already have experience working with a DBMS to quickly figure out the basics of the service. More
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