Home > Destinations > Azure SQL > Criteo

Connect Criteo to Azure SQL

Connect Criteo to Azure SQL and export selected accounts, metrics, and dimensions to your Azure SQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a Criteo API pipeline.

Used by the world's leading companies

Export Criteo data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Criteo data in Azure SQL

Bring all your Criteo data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data freshness

Keep your AzureSQL tables up to date

Automatically sync new data from Criteo so every dashboard, model, and report works with fresh information.

Analysis

Unify Criteo with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Criteo metrics and dimensions available in Azure SQL

Access 112 metrics and 30 dimensions from Criteo connectors including Cost, Clicks, Display, Click Through Rate, Conversion Rate PC 30d, ROAS PC 30d, Campaign Name, AdSet Name, Advertiser Name, Date, Device, Channel Name and many more...

112

Metrics availables

30

Dimensions availables

Connect Criteo to Azure SQL in minutes

Move your data from Criteo to Azure SQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Criteo account

Authenticate your Criteo account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Client A · Connected sources
5 sources ready
Criteo 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step two

Choose the AzureSQL destination

Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.

Destination / Azure SQL Required fields
Host Required
catchr-reporting.database.windows.net
Username Required
catchr_loader
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your AzureSQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your AzureSQL table.

Export job / Azure SQL Example
Schema Destination
dbo
Table Per job
meta_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
Export readySelected fields · configured history
Every 6 hours

Review 30-day Criteo campaign delivery in SQL.

This example summarizes spend, impressions, clicks, and click-through rate by campaign.

Criteo.sql
BigQuery SQL
30-day window
SELECT
  campaign_name,
  SUM(spend) AS spend,
  SUM(impressions) AS impressions,
  SUM(clicks) AS clicks,
  SAFE_DIVIDE(
    SUM(clicks),
    SUM(impressions)
  ) AS ctr
FROM `your_project.marketing_raw.criteo_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY campaign_name
ORDER BY spend DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your Criteo data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

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Before you schedule the job.

Answers about AzureSQL setup, available source data, schedules, table updates, and SQL use cases.

Which steps connect Criteo with an Azure SQL destination?

Register Criteo, save the Azure SQL connection details, and pair both systems in a datastream. The associated job previews and writes the selected columns to "accounts".

What schema can I build from Criteo data in Azure SQL?

Select concrete Criteo fields such as Advertiser All Value, Advertiser Value, App Installs, and Channel Name. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as accounts, advertisers, and campaigns.

How are Criteo history and recurring Azure SQL loads scheduled?

The "accounts" job can begin with a historical Criteo fetch and continue on a recurring schedule. Available history and frequency depend on the source API and your plan.

How does Catchr update existing Criteo records in Azure SQL?

Select a valid date field when configuring the Criteo job for "accounts". Catchr deletes and rewrites the scheduled window, limiting duplicate rows across overlapping runs.

Which dashboards can use Criteo data stored in Azure SQL?

With Criteo data, an Azure SQL query can summarize spend, impressions, clicks, and click-through rate by campaign. Turn Advertiser All Value and Advertiser Value into a stable Azure SQL view that analysts and reporting tools can query repeatedly.

Does my Azure SQL database need to exist before I connect it?

Yes. Connect an existing Azure SQL  database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Azure SQL  database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ? 

Our teams is always here to responds to any question you could have about our data connector.