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Connect Outbrain DSP to Azure SQL

Connect Outbrain DSP 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 Outbrain DSP API pipeline.

Used by the world's leading companies

Export Outbrain DSP data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Outbrain DSP data in Azure SQL

Bring all your Outbrain DSP 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 Outbrain DSP so every dashboard, model, and report works with fresh information.

Analysis

Unify Outbrain DSP with the rest of your business data

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

Outbrain DSP metrics and dimensions available in Azure SQL

Access 55 metrics and 111 dimensions from Outbrain DSP connectors including Total Spend, Media Spend, Impressions, Clicks, CTR, Avg. CPC, Avg. CPM, Visits, Campaign Name, Ad Group Name, Ad Label, Publisher, Placement, Device, Country, Day of the month and many more...

55

Metrics availables

111

Dimensions availables

Connect Outbrain DSP to Azure SQL in minutes

Move your data from Outbrain DSP 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 Outbrain DSP account

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

Client A · Connected sources
5 sources ready
Outbrain DSP 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 Outbrain DSP campaign delivery in SQL.

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

Outbrain DSP.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.outbrain_dsp_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 Outbrain DSP 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.

Can Catchr send Outbrain DSP records directly to Azure SQL?

Add Outbrain DSP in Sources and connect the existing Azure SQL database in Storage. A datastream defines the route, while the job loads the chosen fields into "ad groups".

How much control do I have over Outbrain DSP fields in Azure SQL?

Select concrete Outbrain DSP fields such as Account Status, Ad Group Status, Avg. Cost per Minute, and Day of the month. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as accounts, advertisers, and campaigns.

How should I configure recurring Outbrain DSP imports in Azure SQL?

Define the first Outbrain DSP fetch, run frequency, and lookback window in the "ad groups" job. Each scheduled run replaces data inside the configured period.

How do I prevent duplicate Outbrain DSP rows in Azure SQL?

Use a supported date field to partition "ad groups". Recurring Outbrain DSP runs can then update the selected window instead of adding another copy of the same period.

How can a team use Outbrain DSP data after it reaches Azure SQL?

With Outbrain DSP data, an Azure SQL query can summarize spend, impressions, clicks, and click-through rate by campaign. Model Account Status and Ad Group Status in SQL, then expose the result to dashboards, internal tools, or recurring client reports.

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.