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Connect Outbrain to Azure SQL

Connect Outbrain 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 API pipeline.

Outbrain export job

First sync scheduled

Outbrain Selected accounts

Configured job

Azure SQL Destination table

Account Outbrain · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export Outbrain data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Outbrain data in Azure SQL

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

Source

Outbrain Advertising data

INaccounts PMadvertisers CUcampaigns BLad_groups

Catchr pipeline IN PM CU Extract · normalize · load

Azure SQL catchr_data.Outbrain_raw

TableScopeStatus

accountsSelectedReady

advertisersSelectedReady

campaignsSelectedReady

ad_groupsSelectedReady

Data freshness

Keep your AzureSQL tables up to date

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

OutbrainConfigured account

AzureSQLOutbrain Metrics_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

accounts326 updated advertisers102 appended Warehouse up to date

Analysis

Unify Outbrain with the rest of your business data

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

Business data model

model / business_360

Warehouse inputs

QuickBooks accounts · Apple SKAdNetwork Conversion Average Value Advertising

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

AzureSQL model business_360 Unified

FieldFrom

customer_idCRM

Apple SKAdNetwork Conversion Average Valueaccounts

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

Outbrain metrics and dimensions available in Azure SQL

Access 37 metrics and 68 dimensions from Outbrain connectors including Spend, Impressions, Clicks, CTR, Conversions, CPA, ROAS, Total Conversion Value, Date, Campaign Name, Campaign ID, Promoted Content Title, Promoted Content URL, Publisher Name, Country Name, Platform and many more...

Metrics availables

Dimensions availables

View all Outbrain Metrics metrics and dimensions

Connect Outbrain to Azure SQL in minutes

Move your data from Outbrain 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 account

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

Connect now

Client A · Connected sources

5 sources ready

Outbrain 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 campaign delivery in SQL.

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

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_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 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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Finance

Before you schedule the job.

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

What is the setup for sending Outbrain data to Azure SQL?

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

What can I select from Outbrain before writing to Azure SQL?

Select concrete Outbrain fields such as Apple SKAdNetwork Conversion Average Value, Apple SKAdNetwork Conversion Value, Apple SKAdNetwork Conversions, 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.

Can an Outbrain-to-Azure SQL job import historical periods?

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

Why does the Outbrain Azure SQL job need a partition field?

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

Which decisions can an Outbrain dataset in Azure SQL support?

With Outbrain data, an Azure SQL query can summarize spend, impressions, clicks, and click-through rate by campaign. Model Apple SKAdNetwork Conversion Average Value and Apple SKAdNetwork Conversion Value 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.

Used by the world's leading companies

Export Outbrain data to Azure SQL

Centralize Outbrain data in Azure SQL

Keep your AzureSQL tables up to date

Unify Outbrain with the rest of your business data

Outbrain metrics and dimensions available in Azure SQL

Connect Outbrain to Azure SQL in minutes

Connect your Outbrain account

Choose the AzureSQL destination

Keep your AzureSQL tables updated

Review 30-day Outbrain campaign delivery in SQL.

Connect more table to your Outbrain data

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