Import your Mandrill data to MS SQL Server

Import your data from Mandrill to MS SQL Server - Blendo.co

Easily ETL your Mandrill data into MS SQL Server

With Blendo Mandrill integration, it is easy to import Mandrill data into MS SQL Server to get more answers about your transactional email performance. Drill down to your transactional email data and see who from your customers interacts more, which campaign is most profitable and uncover trends. Combine it with other data sources and discover how your product communication with your customers affects sales or support.

Use Cases

As soon as your Mandrill data is synced into MS SQL Server here are some ways you can use it.

EMAIL CAMPAIGN PERFORMANCE

Analyze Open Rate, click-throughs, bounces and unsubscribes for all your transactional emails.

EMAIL CAMPAIGN ENGAGEMENT

Find out which are your most engaged subscribers by combining data from sources like customer success services or your product.

EMAIL CAMPAIGN CONVERSION

Combine data from other sources like payment services. Uncover the funnel of your subscribers that converts better and earns you revenue.

How to get started with Mandrill and MS SQL Server data integration

Loading your Mandrill data into MS SQL Server is easy. First, you need to connect MS SQL Server as a Destination data warehouse. Then add Mandrill as a Data Source. It will take three minutes to set it up. Next, Blendo will import any information from Mandrill and load it into your MS SQL Server data warehouse.

Connect MS SQL Server

Connect MS SQL Server

Connect Mandrill as Data Source

Connect Mandrill as Data Source

We will load all your Mandrill data

We will load all your Mandrill data

Read more on how you can use your Mandrill data after you have them in your data warehouse.

Detailed Documentation

Check our documentation on how to setup Mandrill integration as a Data Source and start syncing your transactional email data to MS SQL Server.

Check our documentation on how to connect MS SQL Server as a Data warehouse destination and start loading your data in minutes.