Go SDK
Lemnisk
Integrate your Go app with Lemnisk
Don't go through the pain of direct integration. RudderStack’s Go SDK makes it easy to send data from your Go app to Lemnisk and all of your other cloud tools.
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Easily integrate Go SDK with Lemnisk using RudderStackRudderStack’s open source Go SDK allows you to integrate RudderStack with your your Go app to track event data and automatically send it to Lemnisk. 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 Lemnisk and RudderStack
Create leads automaticallyAutomatically create customer records in real time in Lemnisk when someone signs up.
Trigger campaignsEnable your marketing team to trigger email, SMS, mobile, and personalization campaigns based on user actions.
Easily update user traitsProvide your marketing team with advanced segmentation capabilities by updating user traits in real time.
Frequently Asked Questions
With Rudderstack, integration between Go SDK and Lemnisk is simple. Set up a Go SDK source and start sending data.
Pricing Go SDK and Lemnisk 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 Lemnisk.
About Lemnisk

Lemnisk is a Customer Data Platform that provides personalization and real-time marketing automation solutions. It delivers superior customer experiences that increase user conversions, retention, and growth. Rudderstack can send data to Lemnisk in both device mode and cloud mode.

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.