Criteo connector

Set up the Criteo connector in Kaivo: authentication, configuration, the 2 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated About 4 hours ago

Kaivo is a fully managed data platform that syncs your Criteo data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your marketing and sales data instead of moving it.

What is the Criteo connector

Sync your Criteo advertising data into BigQuery with Kaivo to track ad spend and performance alongside your other channels.

CategoryMarketing & Sales
StatusGenerally available
AuthenticationAPI key
SetupSelf-service

Getting started with the Criteo connector

  1. Sign up for Kaivo and create a workspace.
  2. Connect your Criteo account.
  3. Choose which tables to sync.
  4. Wait for the initial sync to finish.
  5. Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Criteo

Authenticate with your Criteo credentials. You provide:

FieldDescription
OAuth Client ID
OAuth Client Secret

Prerequisites

Criteo uses OAuth with client credentials, so you need your own Criteo Marketing Solutions developer application:

  1. Sign in to the Criteo Developer Portal and create an app.
  2. Note the Client ID and Client Secret from the app settings.

Then enter those values below.

Need help? Reach our team via the chat in the bottom-right corner.

Configuring the Criteo connector

When you set up the connector, you provide:

FieldDescription
Currency

Currency to be used on the report (e.g. EUR, USD).

Start Date

Any data before this date will not be fetched.

Tables and columns synced from Criteo

Kaivo syncs 2 tables from Criteo into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

How the Criteo sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Criteo supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Criteo?

It depends on how much history is in your Criteo account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Criteo's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Criteo, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

How do I handle GDPR or data deletion requests?

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Criteo instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Criteo connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Criteo data

Cross-channel reporting

Use ad_spend_daily to compare Criteo cost and results with your other ad platforms.

Ad set performance

Join adsets with spend to see which ad sets drive the best return.

Spend pacing

Use ad_spend_daily to catch overspend or underspend early.

Use Criteo data in your AI and BI tools

Once Criteo data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Criteo data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Criteo connector pricing and plan details.