Integrate PostgreSQL with Google Ads
Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from PostgreSQL to Google Ads and all of your other cloud tools.
Easy PostgreSQL to Google Ads integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your PostgreSQL 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 event stream and batch data to Google Ads from multiple sources.
Skip the formatting work in Google Ads and move faster with predefined data structures.
Easily configure custom sync schedules to Google Ads that work with your existing data workflows.
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.
PostgreSQL, also known as Postgres is an enterprise-grade, open-source object-relational database management system. It is popularly known for its reliability, feature robustness, and performance. Many companies use PostgreSQL as their low-cost data warehousing solution to deliver efficient analytics and user insights. You can use PostgreSQL in various instances, including web, mobile, geospatial, and analytics applications. Postgres uses SQL syntax for querying.