Feeling stuck with Segment? Say 👋 to RudderStack.
Integrate your Google BigQuery Data Warehouse with Google Ads
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 Google Ads and all of your other cloud tools.
Easy Google BigQuery to Google Ads 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 Google Ads. 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 Google Ads and RudderStack
Easily send conversions
Send existing events to Google Ads as conversions with no additional code.
Track client and server-side
Manage client-side and server-side conversions for Google Ads with a few clicks.
Easily send audience data
Send custom audiences from your warehouse to Google Ads.
Frequently Asked Questions
About Google Ads
Google Ads (previously called Google Adwords), is a popular online advertising platform that is used by many businesses to drive website visits and increase their visibility.
Google is considered the de facto leader in online advertising, fielding more than 3 billion search queries per day. Google thus exposes advertisers and businesses to an unparalleled audience of users who are actively looking for relevant information on various services and goods.
With Google Ads, you can place strategic ads related to the keywords searched by the users. A contextual, well-timed ad can convert people into your potential customers – and Google Ads is the perfect tool to help you build one.
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.