Connect Mailtrap and Google Data Studio to Build Intelligent Automations
Enable Integrations or automations with these events of Mailtrap and Google Data Studio
Enable Integrations or automations with these events of Mailtrap and Google Data Studio
Actions
Get Contact Lists
Allows you to get the list of your Lists and their IDs.
Create Contact
Creates a new contact.
Create Contact List
Creates a new Contact Lists.
Delete Contact List
Delete existing Contact List.
Delete a Contact
Deletes Contact by his email.
Update Contact
Allows you to update Contact in Mailtrap
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Frequently Asked Questions
To start, connect both your Mailtrap and Google Data Studio accounts to viaSocket. Once connected, you can set up a workflow where an event in Mailtrap triggers actions in Google Data Studio (or vice versa).
Absolutely. You can customize how Mailtrap data is recorded in Google Data Studio. This includes choosing which data fields go into which fields of Google Data Studio, setting up custom formats, and filtering out unwanted information.
The data sync between Mailtrap and Google Data Studio 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 Mailtrap and Google Data Studio. 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 Mailtrap
Mailtrap is a tool designed for safe email testing, allowing developers to inspect and debug emails before they reach real users. It provides a virtual inbox to capture and analyze emails, ensuring that they are correctly formatted and free of errors. This service is essential for developers and QA teams who need to test email functionality without sending emails to actual recipients.
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About Google Data Studio
Google Data Studio is a powerful tool that allows users to transform raw data into informative, easy-to-read, and shareable dashboards and reports. It integrates seamlessly with various data sources, enabling users to visualize and analyze data in real-time, making it an essential tool for data-driven decision-making.
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