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Integrate Apache Kafka Source with Drip
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 Drip and all of your other cloud tools.
Easy Apache Kafka Source to Drip 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 Drip. 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.
Available via webhook
Send event data to Drip by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Drip API. Once enabled, RudderStack will forward events to Drip (note, this requires leveraging cloud API endpoints for Drip ).
Popular ways to use Drip 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 Drip.
Frequently Asked Questions
About Drip
Drip is an eCommerce revenue engine and a smart marketing platform that lets you drive your customer acquisition, retention, and loyalty programs with ease. Build profitable relationships with your customers, convert your leads, perform A/B testing to try out new features, and measure their impact – all in one platform.
With Drip, you can easily gauge who your best customers are, where they are coming from, and use automation to nurture them post-purchase to make them loyal for life.
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.
