Connect SMTP2GO and Scale to Build Intelligent Automations
Enable Integrations or automations with these events of SMTP2GO and Scale
Enable Integrations or automations with these events of SMTP2GO and Scale
Actions
Add an SMTP User
Add a new SMTP user to your account.
Get Tasks
Retrieve all the tasks for given project.
Create Batch
Create a new batch in a project to group related tasks for processing.
Pause Batch
Pause processing of an in-progress Batch. Only unstarted tasks will be paused.
Resume Batch
Resume processing of a paused Batch. Previously paused tasks will be resumed.
Finalize a batch
Mark a Scale batch as complete so no new tasks can be added.
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Frequently Asked Questions
To start, connect both your SMTP2GO and Scale accounts to viaSocket. Once connected, you can set up a workflow where an event in SMTP2GO triggers actions in Scale (or vice versa).
Absolutely. You can customize how SMTP2GO data is recorded in Scale. This includes choosing which data fields go into which fields of Scale, setting up custom formats, and filtering out unwanted information.
The data sync between SMTP2GO and Scale 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 SMTP2GO and Scale. 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 SMTP2GO
SMTP2GO is a reliable and efficient email delivery service that ensures your emails reach their intended recipients without any hassle. It provides a robust SMTP server solution for businesses and individuals, offering features like email tracking, analytics, and detailed reporting to enhance your email communication strategy.
Learn MoreAbout Scale
Scale provides advanced AI-driven solutions for data labeling and annotation, helping businesses streamline their machine learning workflows.
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