Connect Flexmail and MongoDB to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Flexmail
Choose an Action
Automatically do this!
- Request a new Action for MongoDB
Enable Integrations or automations with these events of Flexmail and MongoDB
Enable Integrations or automations with these events of Flexmail and MongoDB
Actions
Create Contact
Create a contact
Update Contact
Update a contact using contact id
Subscribe Contact to Interest
Subscribe a contact to a selected interest.
Find Contact
Finds a contact based on email.
Unsubscribe a Contact
Unsubscribe a contact from your communication. If a contact is unsubscribed, it can only resubscribe via an opt-in.
Unsubscribe Contact From Interest
Unsubscribe a contact from an interest.
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Frequently Asked Questions
To start, connect both your Flexmail and MongoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Flexmail triggers actions in MongoDB (or vice versa).
Absolutely. You can customize how Flexmail data is recorded in MongoDB. This includes choosing which data fields go into which fields of MongoDB, setting up custom formats, and filtering out unwanted information.
The data sync between Flexmail and MongoDB typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Flexmail and MongoDB. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Flexmail
Use Flexmail to keep in touch with subscribers, leads and customers through email marketing. Send better emails through data, powerful targeting and automation.
Learn MoreAbout MongoDB
MongoDB is a leading NoSQL database platform that provides a flexible and scalable solution for managing large volumes of data. It is designed to handle unstructured data and offers high performance, high availability, and easy scalability.
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