Integrate your Amazon Redshift Data Warehouse with Klaviyo
Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from your Amazon Redshift Data Warehouse to Klaviyo and all of your other cloud tools.
Easy Amazon Redshift to Klaviyo integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Amazon Redshift Data Warehouse to track event data and automatically send it to Klaviyo. With the RudderStack Reverse ETL connection, 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 Klaviyo and RudderStack
Automatically create customer records in real time in Klaviyo when someone signs up.
Enable your marketing team to trigger email, SMS, mobile, and personalization campaigns based on user actions.
Provide your marketing team with advanced segmentation capabilities by updating user traits in real time.
Frequently Asked Questions
With Rudderstack, integration between Amazon Redshift source and Klaviyo is simple. Set up a Amazon Redshift source source and start sending data.
Pricing Amazon Redshift source and Klaviyo 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 Amazon Redshift source and Klaviyo.
Yes, RudderStack streamlines the integration and management of your connection between Amazon Redshift & Klaviyo, but you check out our guide on How To Send Data From Your iOS App to Klaviyo to learn how to connect the tools manually.
About Klaviyo
Send targeted e-mail campaigns, track and measure all user activity, and generate revenue
About Amazon Redshift
Amazon Redshift is the world's fastest cloud data warehouse. It allows you to handle large analytical workloads with best-in-class performance, speed, and efficiency. With Redshift, you don't have to worry about the scale of your data or the cost of running queries on them.
