No-code pipeline · Criteo → PostgreSQL

Send data from Criteo to PostgreSQL

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From Criteo to PostgreSQL: managed, scheduled, no code.

Creating a pipeline that sends data from Criteo to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from Criteo to PostgreSQL is managed and executed by our platform. With Kondado, you can focus on extracting value from Criteo data and combining it with other data in your PostgreSQL database

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Automate Criteo Data Replication to PostgreSQL

Sending Criteo data to PostgreSQL requires no engineering work with Kondado’s automated pipelines. You connect your Criteo advertising account, select the specific data pipelines you need, and configure your PostgreSQL destination in minutes. The platform handles the data extraction, transformation, and loading automatically on your preferred schedule without requiring SQL expertise or API development.

Once configured, your programmatic advertising metrics flow directly into your PostgreSQL database ready for complex analysis. Marketing teams can combine Criteo performance data with CRM, sales, and other business datasets to build comprehensive reports without manual CSV exports or complex API maintenance. This direct integration enables analysts to query granular ad statistics using standard SQL and create custom dashboards that update automatically.

Kondado automates the replication of Criteo advertising metrics to PostgreSQL, updating your database on a configurable schedule ranging from every 5 minutes to daily intervals while maintaining data consistency across 146 available fields.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Criteo Data in PostgreSQL

The Daily Ad Statistics pipeline delivers comprehensive programmatic advertising metrics directly into your PostgreSQL instance. This pipeline captures 146 distinct fields including click-through rates, impression volumes, total ad spend, bounce rates, and revenue attribution across your retargeting campaigns.

With this data in PostgreSQL, analysts can calculate precise ROAS metrics, identify high-performing audience segments, and correlate Criteo campaign performance with downstream conversion data. The structured dataset enables complex SQL queries that reveal cost-per-acquisition trends and revenue per visitor patterns, allowing agencies to optimize bidding strategies based on historical performance stored in their open-source database.

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Replicated to PostgreSQL

Custom reports

This connector lets you create custom reports with dimensions and metrics of your choice. In addition to the pre-configured reports below, you can build tailored reports for your needs.

configurable report

146

extractable fields

PostgreSQL

Destination

Pre-configured reports

Daily Ad Statistics

Analyze clicks, impressions, and total ad spend, along with bounce rate and revenue generated over a specific period.

See all available data → Send Criteo to PostgreSQL →

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How to send Criteo data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Your Criteo Account

Authenticate your Criteo data source in Kondado by providing your API credentials through the connection interface.

Configure PostgreSQL Destination

Enter your PostgreSQL host details, database name, and credentials to establish the destination connection for your advertising metrics.

Select Pipelines and Schedule

Choose the Daily Ad Statistics pipeline and set your preferred update frequency, from every 5 minutes to daily intervals, to automate data replication.

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Send data from Criteo to other destinations

Criteo > Looker Studio

Criteo > Power BI

Other visualizations

Criteo > Amazon S3

Criteo > BigQuery

Criteo > Excel

Criteo > Google Sheets

Criteo > MySQL

Criteo > PostgreSQL

Criteo > Redshift

Criteo > SQL Server

Choose a tool to visualize your Criteo data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Criteo > Airtable

Criteo > Alteryx

Criteo > Amazon Quicksight

Criteo > BIMachine

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Criteo > Grafana

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Criteo > Klipfolio

Criteo > Looker Studio

Criteo > Looker

Criteo > Looqbox

Criteo > Metabase

Criteo > Microstrategy

Criteo > Pentaho

Criteo > Power BI

Criteo > Qlik Cloud Analytics

Criteo > Qlik Sense

Criteo > Qlik

Criteo > QlikView

Criteo > Redash

Criteo > Superset

Criteo > Tableau

Criteo > BI TOTVS

Criteo > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Criteo data to PostgreSQL automatically

How does Kondado replicate Criteo data to PostgreSQL without coding? ▼

Kondado provides a direct integration that extracts your Criteo advertising metrics through pre-built data source connections. You authenticate your Criteo account through the interface, select the Daily Ad Statistics pipeline, and specify your PostgreSQL connection details. The platform automatically handles API pagination, data type mapping, and schema creation in your destination database.

What specific Criteo advertising metrics are available in the PostgreSQL pipeline? ▼

The Daily Ad Statistics pipeline replicates 146 fields including impressions, clicks, spend, revenue, bounce rate, and conversion data from your retargeting campaigns. You access granular performance data such as cost-per-click averages, click-through rates, and revenue per visitor metrics. This comprehensive dataset enables detailed analysis of your dynamic display ad performance directly within PostgreSQL.

How often does Criteo data update in my PostgreSQL database? ▼

Kondado updates your PostgreSQL database on a configurable schedule that you control, ranging from every 5 minutes to daily intervals. You select the frequency based on your reporting needs and API rate limits. Near-real-time updates ensure your campaign dashboards reflect current performance without manual refresh processes.

Can I combine Criteo data with other marketing sources in PostgreSQL? ▼

Yes, PostgreSQL serves as a central warehouse where Criteo data coexists with information from Criteo, Google Sheets, or other advertising platforms. You can join datasets to analyze cross-channel attribution, comparing retargeting performance against search or social campaigns. This unified approach enables holistic ROAS calculations across your entire marketing stack.

What data types does Criteo data use when stored in PostgreSQL? ▼

Kondado automatically maps Criteo API fields to appropriate PostgreSQL data types including TIMESTAMP for date ranges, DECIMAL for monetary values like spend and revenue, and INTEGER for impression counts. The schema preserves numeric precision for financial calculations while optimizing storage for the 146 available fields. You can query these using standard PostgreSQL functions immediately after replication.

How do I visualize Criteo data after replicating it to PostgreSQL? ▼

Once your Criteo data resides in PostgreSQL, you can connect business intelligence tools like Power BI, Looker Studio, or BigQuery for advanced visualization. Build custom dashboards showing campaign performance trends, audience segment analysis, and attribution modeling. The SQL-compatible structure enables complex joins with sales data for complete funnel analysis.

Does the Criteo to PostgreSQL replication include historical campaign data? ▼

The pipeline replicates historical data based on your Criteo account's API retention limits and your selected date range during initial setup. You can backfill months or years of Daily Ad Statistics to analyze long-term seasonal trends and year-over-year performance. Subsequent automated updates append new data while maintaining your historical dataset for trend analysis.

Try out all the features for free for 14 days

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