Campaign Monitor to QuickSight

This page provides you with instructions on how to extract data from Campaign Monitor and analyze it in Amazon QuickSight. (If the mechanics of extracting data from Campaign Monitor seem too complex or difficult to maintain, check out Stitch, which can do all the heavy lifting for you in just a few clicks.)

What is Campaign Monitor?

Campaign Monitor is a SaaS email marketing platform that enables businesses to create, send, and manage branded email. The product includes a drag-and-drop builder, visual journey designer, and real-time performance metrics. It offers list management tools to help organizations build segmented lists based on their own criteria, and optimization tools to help users track the effectiveness of their campaigns.

What is QuickSight?

Amazon QuickSight is the AWS business intelligence tool for creating dashboards and visualizations. Users are charged per session only for the time when they access dashboards or reports. QuickSight supports a variety of data sources, such as individual databases (Amazon Aurora, MariaDB, and Microsoft SQL Server), data warehouses (Amazon Redshift and Snowflake), and SaaS sources (Adobe Analytics, GitHub, and Salesforce), along with several common standard file formats.

Getting data out of Campaign Monitor

You can use Campaign Monitor's RESTful API to get data about clients, campaigns, lists, and more into your data warehouse. For example, to get a campaign summary, you could GET GET /campaigns/{campaignid}/summary.{xml|json}. The final parameter specifies whether the data is to be returned in XML or JSON format.

Sample Campaign Monitor data

Here's an example of the kind of response you might see when querying a campaign summary and specifying that the data returned should be in JSON format.

{
    "Recipients": 1000,
    "TotalOpened": 345,
    "Clicks": 132,
    "Unsubscribed": 43,
    "Bounced": 15,
    "UniqueOpened": 298,
    "SpamComplaints": 23,
    "WebVersionURL": "http://createsend.com/t/y-A1A1A1A1A1A1A1A1A1A1A1A1/",
    "WebVersionTextURL": "http://createsend.com/t/y-A1A1A1A1A1A1A1A1A1A1A1A1/t",
    "WorldviewURL": "http://myclient.createsend.com/reports/wv/y/8WY898U9U98U9U9",
    "Forwards": 18,
    "Likes": 25,
    "Mentions": 11
}

Loading data into QuickSight

You must replicate data from your SaaS applications to a data warehouse (such as Redshift) before you can report on it using QuickSight. Once you specify a data source you want to connect to, you must specify a host name and port, database name, and username and password to get access to the data. You then choose the schema you want to work with, and a table within that schema. You can add additional tables by specifying them as new datasets from the main QuickSight page.

Using data in QuickSight

QuickSights provides both a visual report builder and the ability to use SQL to select, join, and sort data. QuickSight lets you combine visualizations into dashboards that you can share with others, and automatically generate and send reports via email.

Keeping Campaign Monitor data up to date

Now what? You've built a script that pulls data from Campaign Monitor and loads it into your data warehouse, but what happens tomorrow when you have new campaigns?

The key is to build your script in such a way that it can identify incremental updates to your data. Thankfully, Campaign Monitor's API results include fields like Date that allow you to identify records that are new since your last update (or since the newest record you've copied). Once you've take new data into account, you can set your script up as a cron job or continuous loop to keep pulling down new data as it appears.

From Campaign Monitor to your data warehouse: An easier solution

As mentioned earlier, the best practice for analyzing Campaign Monitor data in Amazon QuickSight is to store that data inside a data warehousing platform alongside data from your other databases and third-party sources. You can find instructions for doing these extractions for leading warehouses on our sister sites Campaign Monitor to Redshift, Campaign Monitor to BigQuery, Campaign Monitor to Azure Synapse Analytics, Campaign Monitor to PostgreSQL, Campaign Monitor to Panoply, and Campaign Monitor to Snowflake.

Easier yet, however, is using a solution that does all that work for you. Products like Stitch were built to move data automatically, making it easy to integrate Campaign Monitor with Amazon QuickSight. With just a few clicks, Stitch starts extracting your Campaign Monitor data, structuring it in a way that's optimized for analysis, and inserting that data into a data warehouse that can be easily accessed and analyzed by Amazon QuickSight.