Home > Destinations > Snowflake > Outbrain

Connect Outbrain to Snowflake

Connect Outbrain to Snowflake and export selected accounts, metrics, and dimensions to your Google BigQuery 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

Snowflake 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 Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Outbrain data in PostgreSQL

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

Snowflake catchr_data.Outbrain_raw

TableScopeStatus

accountsSelectedReady

advertisersSelectedReady

campaignsSelectedReady

ad_groupsSelectedReady

Data freshness

Keep your Snowflake tables up to date

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

OutbrainConfigured account

SnowflakeOutbrain 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

Snowflake 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 Snowflake

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 Snowflake in minutes

Move your data from Outbrain to Snowflake 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 Snowflake destination

Add the account host, user, and database schema. Use a password for compatible users or a PEM private key for service accounts and stricter policies.

Destination / Snowflake Required fields

Authentication Choose one

Password

Key pair

Host Required

xy12345.eu-west-1

Username Required

catchr_service

Database Required

MARKETING.RAW

Private key passphrase Optional

••••••••••••

Private key Required for key pair

-----BEGIN ENCRYPTED PRIVATE KEY----- MIIE6TAbBgkqhkiG9w0BBQMw... -----END ENCRYPTED PRIVATE KEY-----

Step three

Keep your Snowflake tables updated

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

Export job / PostgreSQL Example

Schema Destination

marketing_raw

Table Per job

linkedin_ads_daily

Recurring schedule Choose a cadence

Every 6 hours

Daily · 07:00

Weekly · Mon

First sync scheduledSelected fields · configured history

07:00 UTC

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

Choose what to load into Snowflake.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

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Emailing

Before you schedule the job.

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

What is the setup for sending Outbrain data to Snowflake?

Add Outbrain in Sources and connect the existing Snowflake 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 Snowflake?

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 Snowflake tables such as accounts, advertisers, and campaigns.

Can an Outbrain-to-Snowflake 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 Snowflake 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 Snowflake support?

With Outbrain data, a Snowflake 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 Snowflake database need to exist before I connect it?

Yes. Connect an existing Snowflake 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 Snowflake 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.

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100+ sources

Used by the world's leading companies

Export Outbrain data to Snowflake

Centralize Outbrain data in PostgreSQL

Keep your Snowflake tables up to date

Unify Outbrain with the rest of your business data

Outbrain metrics and dimensions available in Snowflake

Connect Outbrain to Snowflake in minutes

Connect your Outbrain account

Choose the Snowflake destination

Keep your Snowflake tables updated

Review 30-day Outbrain campaign delivery in SQL.

Choose what to load into Snowflake.

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