Go SDK
Wootric

Integrate your Go app with Wootric

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

Easy Go SDK to Wootric 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 Wootric. 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 Wootric and RudderStack

Create and update customers

Create and update customers in Wootric in real time.

Track customer behavior

Send key user actions to Wootric to give the customer success team context for support tickets.

Assign users to groups

Automatically assign new users to existing groups, companies or accounts in Wootric.

Frequently Asked Questions

With Rudderstack, integration between Go SDK and Wootric is simple. Set up a Go SDK source and start sending data.

Pricing Go SDK and Wootric 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 Wootric.

Yes, RudderStack streamlines the integration and management of your connection between Go SDK & Wootric, but you check out our guide on How To Send Data From Your Go App to Google Sheets to learn how to connect the tools manually.

Use the Wootric integration with other popular sources

About Wootric

Customer experience management platform

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.