Connect Webengage and Scale to Build Intelligent Automations
Enable Integrations or automations with these events of Webengage and Scale
Enable Integrations or automations with these events of Webengage and Scale
Actions
Add User
Adds a new user to your WebEngage 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 Webengage and Scale accounts to viaSocket. Once connected, you can set up a workflow where an event in Webengage triggers actions in Scale (or vice versa).
Absolutely. You can customize how Webengage 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 Webengage 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 Webengage 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 Webengage
Webengage is a comprehensive marketing automation platform that helps businesses engage with their customers through personalized communication across multiple channels. It offers tools for customer segmentation, journey mapping, and analytics to enhance customer retention and conversion rates.
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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