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Go SDK
Google Tag Manager

Integrate your Go app with Google Tag Manager

Don't go through the pain of direct integration. RudderStack’s Go SDK makes it easy to send data from your Go app to Google Tag Manager and all of your other cloud tools.

Easy Go SDK to Google Tag Manager integration with RudderStack

RudderStack’s open source Go SDK allows you to integrate RudderStack with your your Go app to track event data and automatically send it to Google Tag Manager. With the RudderStack Go SDK, 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 Tag Manager and RudderStack

Frequently Asked Questions

With Rudderstack, integration between Go SDK and Google Tag Manager is simple. Set up a Go SDK source and start sending data.
Pricing Go SDK and Google Tag Manager 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 Go SDK and Google Tag Manager.

Use the Google Tag Manager integration with other popular sources

Use the Go SDK integration with other popular destinations

About Google Tag Manager

Google Tag Manager is a popular tag management system that allows you to quickly update tags for your web or mobile applications. Once added to your project, it makes it easier for you to configure, deploy, and measure your tags from a web-based UI without needing additional code. RudderStack enables you to send events, including tracking pageviews, to the GTM dataLayer using the JavaScript SDK.

About Go SDK

RudderStack’s open source Go SDK allows you to track your customer event data from your Go code. Once you enable the SDK, the event requests hit the RudderStack servers. RudderStack then routes the events to the specified destination platforms as configured by you.

The Go SDK uses a tunable buffer to batch the incoming messages and is highly optimized for throughput and reduced network activity.