Amazon Redshift
Mailmodo

Integrate your Amazon Redshift Data Warehouse with Mailmodo

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 Mailmodo and all of your other cloud tools.

Easy Amazon Redshift to Mailmodo 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 Mailmodo. 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 Mailmodo and RudderStack

Create leads automatically

Automatically create customer records in real time in Mailmodo when someone signs up.

Trigger campaigns

Enable your marketing team to trigger email, SMS, mobile, and personalization campaigns based on user actions.

Easily update user traits

Provide your marketing team with advanced segmentation capabilities by updating user traits in real time.

Frequently Asked Questions

With Rudderstack, integration between Amazon Redshift and Mailmodo is simple. Set up a Amazon Redshift source and start sending data.
Pricing Amazon Redshift and Mailmodo 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 and Mailmodo.

Use the Amazon Redshift integration with other popular destinations

About Mailmodo

Mailmodo is a complete email marketing solution enabling users to create and send app-like interactive emails to improve email conversions.

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.