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MongoDB + MailChimp Integrations

Appy Pie Connect allows you to automate multiple workflows between MongoDB and MailChimp

About MongoDB

MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).

About MailChimp

MailChimp is all-in-one e-mail marketing platform that fits everything you need to know about your subscribers into one neat and organized place. Its powerful features and embeddable sign up forms help you build an engaged audience you can communicate with easily anywhere and anytime.

MailChimp Integrations
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Best MongoDB and MailChimp Integrations

  • MongoDB MailChimp

    MongoDB + MailChimp

    Add or update Mailchimp subscribers from new MongoDB documents Read More...
    When this happens...
    MongoDB New Document
     
    Then do this...
    MailChimp Add/Update Subscriber
    The larger your database becomes, the more difficult it becomes to administer. Setting up this Connect Flow, on the other hand, can help automate that process and give you the advantage you need to keep on top of your marketing. Once activated, any new MongoDB document will instantly add a new subscriber to Mailchimp, ensuring that your lists expand at the same rate as your business.
    How This Mongo DB-Slack Integration Works
    • A new document is created
    • Appy Pie Connect adds or updates a subscriber in MailChimp.
    What You Require
    • MongoDB account
    • MailChimp account
  • MongoDB Google Sheets

    MongoDB + Google Sheets

    Create new rows in Google Sheets for new MongoDB documents Read More...
    When this happens...
    MongoDB New Document
     
    Then do this...
    Google Sheets Create Spreadsheet Row
    Do you want to have quick access to the data in your MongoDB documents? Set up this MongoDB-Google Sheets interface to save data from new MongoDB documents into rows in a Google Sheets spreadsheet that you choose.
    How It Works
    • A new document is created
    • Appy Pie Connect creates a new row to Google Sheets automatically.
    What You Require
    • MongoDB account
    • Google Sheets account
  • MongoDB Slack

    MongoDB + Slack

    Send Slack messages for new MongoDB documents Read More...
    When this happens...
    MongoDB New Document
     
    Then do this...
    Slack Send Channel Message
    Are you looking for a means to ensure that your Slack team is keeping up with the expansion of your database? Set up this Connect Flow to send a message. Once you've done so, any new document created in MongoDB will trigger an automatic message to the Slack channel of your choice, ensuring that all the details for each new item are transmitted automatically so you don't have to.
    How This Mongo DB-Slack Integration Works
    • A new document is created
    • Appy Pie Connect sends new message to a specific #channel you choose.
    What You Require
    • MongoDB account
    • Slack account
  • MongoDB Google Sheets

    MailChimp + Google Sheets

    Add New MailChimp Subscribers to New Rows on Google Sheets Spreadsheet Read More...
    When this happens...
    MongoDB New Subscriber
     
    Then do this...
    Google Sheets Create Spreadsheet Row

    Need an easy way to save your Mailchimp contacts on a Google Sheets spreadsheet? This Mailchimp – Google Sheets integration will automatically create a new row in a Google Sheets spreadsheet whenever a new contact is added to Mailchimp. This Connect can save you from the hassle of finding and importing data manually into Google Sheets.

    Note: This integration from Appy Pie Connect will not create Google Sheets spreadsheet rows for existing contacts, but only the new contacts added after this integration has been setup.

    How this Mailchimp - Google Sheets Works
    • A new subscriber is added to a Mailchimp list
    • Appy Pie Connect adds that contact on a new row in Google Sheets spreadsheet.
    What You Need
    • A Mailchimp Account
    • A Google Sheets account
  • MongoDB Slack

    MailChimp + Slack

    Get a Message in Slack on a New MailChimp Subscriber Read More...
    When this happens...
    MongoDB New Subscriber
     
    Then do this...
    Slack Send Channel Message
    Let your team know when someone subscribes to your Mailchimp list. Once set up, we will automatically send a notification to your designated slack channel when someone subscribes to your Mailchimp list. Use our intuitive, drag-and-drop user interface and set up this Connect now!
    How This Integration Works
    • Triggers when someone subscribes to your Mailchimp list.
    • Appy Pie Connect notifies you in a channel in Slack.
    What You Need
    • A Mailchimp Account
    • A Slack Account
  • MongoDB Slack

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    MongoDB {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect MongoDB + MailChimp in easier way

It's easy to connect MongoDB + MailChimp without coding knowledge. Start creating your own business flow.

    Triggers
  • New Collection

    Triggers when you add a new collection.

  • New Database

    Triggers when you add a new database.

  • New Document

    Triggers when you add a new document to a collection.

  • New Field

    Triggers when you add a new field to a collection.

  • Click Report Members

    Triggers when member click a link.

  • New Campaign

    Triggers every time a new campaign is created or sent.

  • New List

    Triggers when a new list is added.

  • New Subscriber

    Triggers whenever a new subscriber is added to a list.

  • Updated Subscriber

    Triggers whenever a subscriber is added or updated in a list.

    Actions
  • Create Document

    Create a new document in a collection of your choice.

  • Add Subscriber to Segment

    Add subscriber's email address to a static segment within a list. Note: the email address must already be subscribed to the list, or this will fail.

  • Add Subscriber to Tag

    Add an email address to a tag within a list. Note: the email address must already be subscribed to the list, or this will fail.

  • Add/Update Subscriber

    Add a new subscriber to a list of your choice. (Note: This Connect can be used to update an existing subscriber too.)

  • Create Campaign

    Set up a campaign draft.

  • Send Campaign

    Sends a campaign draft.

  • Unsubscribe Email

    Unsubscribe an email address from your selected list.

How MongoDB & MailChimp Integrations Work

  1. Step 1: Choose MongoDB as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate MongoDB with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select MailChimp as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate MailChimp with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of MongoDB and MailChimp

MongoDB is a NoSQL database. It’s a cross-platform document-oriented database designed for ease of development and scaling. MongoDB uses JSON-like documents with dynamic schemas.

MailChimp is a popular email marketing service that allows users to manage their lists of subscribers, create and send campaigns, and track results. In this article, I will discuss the integration of these two platforms.

  • Integration of MongoDB and MailChimp
  • The integration of MongoDB and MailChimp is a powerful combination for marketers. Here is a list of benefits of integrating MailChimp with a NoSQL database:

    Benefit 1. Data loading is faster

    As mentioned above, MongoDB uses JSON-like documents with dynamic schemas. Creating an object in Python with JSON data is much easier than creating it in SQL.

    For example, suppose you have to create an account object in SQL. You’ll need to write the fplowing code to do it:

    CREATE TABLE account ( id int(11. NOT NULL AUTO_INCREMENT, name varchar(255. DEFAULT NULL, email varchar(255. DEFAULT NULL, PRIMARY KEY (id), UNIQUE KEY email_UNIQUE (email. . ENGINE=InnoDB DEFAULT CHARSET=latin1; INSERT INTO account (id, name, email. VALUES (1, 'John Doe', '[email protected]'), (2, 'Jane Doe', '[email protected]'); 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 CREATE TABLE ` account ` ( ` id ` int ( 11 . NOT NULL AUTO_INCREMENT , ` name ` varchar ( 255 . DEFAULT NULL , ` email ` varchar ( 255 . DEFAULT NULL , PRIMARY KEY ( ` id ` . , UNIQUE KEY ` email_UNIQUE ` ( ` email ` . . ENGINE = InnoDB DEFAULT CHARSET = latin1 ; INSERT INTO ` account ` ( ` id ` , ` name ` , ` email ` . VALUES ( 1 , 'John Doe' , '[email protected]' . , ( 2 , 'Jane Doe' , '[email protected]' . ;

    Whereas the similar task in MongoDB will require writing the fplowing code:

    db.account.insert( { Id . 1, Name . 'John Doe', Email . '[email protected]' }, { Id . 2, Name . 'Jane Doe', Email . '[email protected]' } ); 1 2 3 4 5 6 7 db . account . insert ( { Id . 1 , Name . 'John Doe' , Email . '[email protected]' } , { Id . 2 , Name . 'Jane Doe' , Email . '[email protected]' } . ;

    Benefit 2. Importing data into MailChimp is easier when using MongoDB

    Importing data into MailChimp is easier when using MongoDB. This is because it’s straightforward to import to MailChimp when using MongoDB; there are no changes required to your MailChimp API. With SQL, however, importing into MailChimp requires that you make changes to the API in order to implement it into your application. The process for doing so can be quite complicated.

    Benefit 3. The performance of the integration is better in MongoDB than in SQL

    The performance of the integration is better in MongoDB than in SQL due to the simplicity of the import process. As mentioned above, you don’t need to make any changes to the API when using MongoDB. With SQL, however, you must change your API in order to use it for exporting data from your application to MailChimp. This makes the process more complex than just using MongoDB to import data into MailChimp.

    Benefit 4. It’s easier to export data into MailChimp when using MongoDB than when using SQL

    Exporting data into MailChimp is easier when using MongoDB than when using SQL. This is because the process for exporting data from MongoDB is much simpler than the process for exporting data from SQL. When using SQL to export data, you must create tables within your database that are compatible with your API schema. However, with MongoDB, you only have to map fields in your schema to fields in your API schema. Also, you don’t have to create tables within your database for compatibility—this process can be done manually after exporting data from MongoDB if desired.

    Benefit 5. Querying data stored in MailChimp is easier when using MongoDB than when using SQL

    Querying data stored in MailChimp is easier when using MongoDB than when using SQL because you can take advantage of MongoDB’s native support for MapReduce queries. As mentioned above, with MySQL, you have to use Python or PHP scripts to get information out of your MySQL database. With MongoDB, however, MapReduce can be used automatically without additional coding. MapReduce queries are also more powerful than the equivalent queries in MySQL because they are very flexible and run very quickly.

    Benefit 6. Documentation is easier when using MongoDB than when using SQL

    Documentation is easier when using MongoDB than when using SQL because there are many sample code snippets available online that demonstrate how to use all of its functions and features with ease. There are also many examples of how to structure and organize databases in MongoDB online as well as explanations of how to use different functions and features in the product documentation itself. With SQL, there is not as much documentation available; therefore, learning how to use it can be more difficult and time-consuming.

    The process to integrate 403 Forbidden and 403 Forbidden may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.