Apache Kafka Source
Snap Custom Audiences
Integrate Apache Kafka Source with Snap Custom Audiences
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 Snap Custom Audiences and all of your other cloud tools.
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Easy Apache Kafka Source to Snap Custom Audiences integration with RudderStackRudderStack’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 Snap Custom Audiences. 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.Popular ways to use Snap Custom Audiences and RudderStack
Stream behavioral dataEasily stream data from your website or app to [integration, destination=TRUE] in real-time.
Customize data payloadsModify payloads to match requirements in [integration, destination=TRUE].
Connect your pipelinesAutomatically send user behavior data directly to Snap Custom Audiences.
Frequently Asked Questions
With Rudderstack, integration between Apache Kafka Source and Snap Custom Audiences is simple. Set up a Apache Kafka Source source and start sending data.
Pricing Apache Kafka Source and Snap Custom Audiences 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 Apache Kafka Source and Snap Custom Audiences.
About Snap Custom Audiences

Snapchat Custom Audiences matches first-party data from your Snapchat customer list (email, phone number, or mobile advertiser ID) with Snapchat users. It allows you to target specific Snapchatters based on unique demographics from your business, product, or service.

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.