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Google BigQuerySnap Pixel

Integrate your Google BigQuery Data Warehouse with Snap Pixel

Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from your Google BigQuery Data Warehouse to Snap Pixel and all of your other cloud tools.

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Easy Google BigQuery to Snap Pixel integration with RudderStack

RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Google BigQuery Data Warehouse to track event data and automatically send it to Snap Pixel. With the RudderStack Reverse ETL connection, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.

Popular ways to use Snap Pixel and RudderStack
Easily send conversions

Send existing events to Snap Pixel as conversions with no additional code.

Track client and server-side

Manage client-side and server-side conversions for Snap Pixel with a few clicks.

Easily send audience data

Send custom audiences from your warehouse to Snap Pixel.

Frequently Asked Questions
With Rudderstack, integration between Google BigQuery and Snap Pixel is simple. Set up a Google BigQuery source and start sending data.
Pricing Google BigQuery and Snap Pixel can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery and Snap Pixel.
Use the Google BigQuery integration with other popular destinations

Amazon Redshift

Data Warehouse

Trengo

Customer Service

RudderStack Google BigQuery Documentation

Refer to our step-by-step guide and start using Google BigQuery today

About Snap Pixel

The Snap Pixel tool helps you measure and optimize the impact of your ad campaigns. It is a piece of JavaScript code that enables you to track actions Snapchat users take after interacting with your ads.

About Google BigQuery

Google BigQuery is a fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time. It is serverless, highly scalable, and cost-effective and is designed for businesses to analyze massive datasets and make informed business decisions. Google BigQuery also allows running complex analytical SQL-based queries using built-in machine learning capabilities.