Create MailChimp-Connected Visualizations in Klipfolio

Klipfolio is an online dashboard platform designed to create real-time business dashboards, whether for your team or clients. When combined with CData Connect Cloud, you gain immediate cloud-to-cloud access to MailChimp data to create visualizations, reports, and more. This article provides step-by-step instructions on connecting to MailChimp within Connect Cloud and creating visualizations using MailChimp data in Klipfolio.

CData Connect Cloud offers a direct cloud-to-cloud interface for MailChimp, enabling you to construct reports from real-time MailChimp data data within Klipfolio—without the need for data replication to a database natively supported by Klipfolio. While building visualizations, Klipfolio generates SQL queries to fetch data. With optimized data processing capabilities out of the box, CData Connect Cloud efficiently directs all supported SQL operations (such as filters, JOINs, etc.) directly to MailChimp, harnessing server-side processing to swiftly retrieve the requested MailChimp data data.

Configure MailChimp Connectivity for Klipfolio

Connectivity to MailChimp from Klipfolio is made possible through CData Connect Cloud. To work with MailChimp data from Klipfolio, we start by creating and configuring a MailChimp connection.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "MailChimp" from the Add Connection panel
3. Enter the necessary authentication properties to connect to MailChimp.

   Set the APIKey to the key you generate in your account settings. To obtain the API Key:

   1. Log into Mailchimp.
   2. Navigate to Account > Extras > API Keys.
   3. Note the value of the API Key.
4. Click Create & Test
5. Navigate to the Permissions tab in the Add MailChimp Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured, you are ready to connect to MailChimp data Klipfolio.

Connect to MailChimp from Klipfolio

The steps below outline connecting to CData Connect Cloud from Klipfolio to create a new MailChimp data source.

1. Open Klipfolio
2. Click in Data Sources to add a new data source
3. Search for and select MSSQL as the Service
4. Click "Create a custom MSSQL data source"
5. Configure the data source by setting the MSSQL connection properties:
   • Host: tds.cdata.com
   • Port: 14333
   • Database: your database (e.g., MailChimp1)
   • Driver: MS SQL
   • Username: a Connect Cloud user (e.g. user@mydomain.com)
   • Password: the above user's PAT
   • SQL Query: any query to retrieve data (e.g. SELECT * FROM Lists )
   • Select the checkbox to "Include column headers"
   • Select the checkbox to "Use SSL/TLS"
6. Click "Get data" to preview the MailChimp data before building a data model.

Build a Data Model

After retrieving the data, click the checkbox to "Model your data" and click "Continue." In the new window, configure your data model.

1. Confirm that the model includes all columns you wish to work with
2. Name your model
3. (optional) Set the Description
4. Set "Header in row" to 1
5. Click the toggle to "Exclude data before row" and set the value to 2
6. Click "Save and Exit"

Create a Metric

With the data modeled, we are ready to create a Metric (or visualization) of the data to be used in the Klipfolio platform for dashboards, reporting, and more.

1. Click "Create metrics"
2. Select a Data source
3. Select a Metric value and default aggregation
4. Select Segmentation(s)
5. Select a Date & time
6. Select a Data shape
7. Configure the Display settings
8. Click Save
9. Navigate to your Metric and further configure the visualization

SQL Access to MailChimp Data from Cloud Applications

Now you have a Metric built from live MailChimp data. You can add it to a new dashboard, share, and more. Easily create more data sources and new visualizations, produce reports, and more — all without replicating MailChimp data.

To get SQL data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect Cloud.