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Integrate Apache Kafka Source with AdLearn
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 AdLearn and all of your other cloud tools.
Easy Apache Kafka Source to AdLearn 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 AdLearn. 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 AdLearn by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the AdLearn API. Once enabled, RudderStack will forward events to AdLearn (note, this requires leveraging cloud API endpoints for AdLearn ).
Popular ways to use AdLearn 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 AdLearn.
Frequently Asked Questions
About AdLearn
AdLearn Open Platform is an ad analytics and placement solution used to build ad retargeting solutions by pulling online and offline data. With AdLearn, you can seamlessly segment location-based and behavior-based audiences, and drive your app monetization by integrating with more than 20 data partners. AOP also offers an intuitive reporting dashboard to access real-time insights and portfolio performance.
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.