Advertising categoryCommunity 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 syncing Outbrain data

Documentation

Detailed documentation on how to start syncing Outbrain data.

Outbrain Documentation

Manual Instructions

How to extract data from Outbrain and load it to Amazon Redshift manually.

Outbrain and load it to Amazon Redshift manually.

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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 →
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 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')}}

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Simplify your Amazon Redshift migration

When it comes to replicating your data to Amazon Redshift, conventional ETL is no longer the only game in town.

Writing ETL code requires big investments of time, money, and expertise that might otherwise be used for innovation. Most importantly, newer approaches to data ingestion deliver faster implementation than traditional ETL, so you can produce data analytics and business intelligence more quickly.

This is where Stitch can help.

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Analyzing our data in SQL has unlocked business analytics at Vero. We can customize and collaborate on our analyses, join across data sources, and produce reports that actually get used. Stitch makes all that possible by loading our data into Amazon Redshift.

Chris Hexton

Co-Founder, Vero

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Why our customers choose Stitch

Stitch is a simple, powerful ETL service built for developers. Stitch connects to your first-party data sources – from databases like MongoDB and MySQL, to SaaS tools like Salesforce and Zendesk – and replicates that data to your warehouse. With Stitch, developers can provision data for their internal users in minutes, not weeks.

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