Advertising category Community supported

Expected Outbrain data

Here’s a sample of the raw Outbrain data that Stitch will replicate to your analytics warehouse:

Campaigns

Contains info about your Outbrain campaigns including name, budget and CPC.

Table name: campaigns

Campaign Performance

Performance metrics for your Outbrain campaigns including impressions, clicks, spend, conversions and more.

Table name: campaign_performance

View all tables

Learn more about the Outbrain integration

Documentation

Detailed documentation on how to start syncing Outbrain data.

Outbrain Documentation

Outbrain to your data warehouse in minutes

ETL your Outbrain data to the destination of your choice.

Jumpstart your Outbrain analytics with reusable blocks

dbt packages can speed up your work

Once you replicate your Outbrain data with Stitch, you can use it in many ways. For example, you can use the data modeling and transformation tool dbt to prepare data for reporting, analytics, or machine learning applications.

Dbt has prebuilt packages for many Stitch data sources, including Outbrain. Here’s a look at code for modeling Outbrain data. This particular block of code parses your Outbrain campaign data for analyzing your campaign performance.

View the source on GitHub → 
                        
                          select
    id,
    name,
    livestatus__amountspent as spend,
    livestatus__campaignonair as active,
    livestatus__onairreason as status,
    currency,
    targeting__language as targeting_language,
    {{ dbt_utils.get_url_parameter('suffixtrackingcode', 'utm_source') }} as utm_source,
    {{ dbt_utils.get_url_parameter('suffixtrackingcode', 'utm_medium') }} as utm_medium,
    {{ dbt_utils.get_url_parameter('suffixtrackingcode', 'utm_campaign') }} as utm_campaign,
    {{ dbt_utils.get_url_parameter('suffixtrackingcode', 'utm_content') }} as utm_content,
    {{ dbt_utils.get_url_parameter('suffixtrackingcode', 'utm_term') }} as utm_term,
    enabled,
    creationtime created_at,
    lastmodified as updated_at
from {{var('campaigns_table')}}
We set up all of the integrations we needed in a matter of hours. Writing custom code to do all of that would have taken up a month's worth of back-end engineering time. Using Stitch allowed us to move forward without having to hire another person.

Mark Marcantano

Senior DevOps Engineer, Calm

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