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Integrate Apache Kafka Source with Google Ads
Don't go through the pain of direct integration. RudderStack’s Apache Kafka Source integration makes it easy to send data from Apache Kafka Source to Google Ads and all of your other cloud tools.
Easy Apache Kafka Source to Google Ads integration with RudderStack
RudderStack’s open source Apache Kafka Source integration allows you to integrate RudderStack with your Apache Kafka Source to track event data and automatically send it to Google Ads. With the RudderStack Apache Kafka Source integration, 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
Stream behavioral data
Easily stream data from your website or app to [integration, destination=TRUE] in real-time.
Customize data payloads
Modify payloads to match requirements in [integration, destination=TRUE].
Connect your pipelines
Automatically send user behavior data directly 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 Apache Kafka Source
Apache Kafka is a popular distributed streaming platform. It allows you to handle large-scale workloads with high throughput and low latency. Apache Kafka is highly available and is used across the world for building real-time data pipelines and streaming applications.