
When this happens...
New Client
New Project
New Tag
New Time Entry
New Time Entry Started
New Workspace
New Task

Automatically do this!
Enable Integrations or automations with these events of Toggl Track and Alteryx
Trigger when new client is created.
Triggers when a new project is created
Trigger when new tag is created
Trigger when new time entry is craeted
Trigger when new time entry is started
Trigger when new workspace is created.
Create a new client
Create a new project
Create a new tag
Create a new task
Create a new time entry
Start a new time entry

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To start, connect both your Toggl Track and Alteryx accounts to viaSocket. Once connected, you can set up a workflow where an event in Toggl Track triggers actions in Alteryx (or vice versa).
Absolutely. You can customize how Toggl Track data is recorded in Alteryx. This includes choosing which data fields go into which fields of Alteryx, setting up custom formats, and filtering out unwanted information.
The data sync between Toggl Track and Alteryx 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 Toggl Track and Alteryx. 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.
Toggl Track is a time tracking tool designed to help individuals and teams measure and manage their work hours effectively. It offers features like time tracking, reporting, and project management across web, desktop, and mobile platforms.
Learn MoreAlteryx is a leading platform for data blending and advanced analytics, empowering data analysts and scientists to easily prepare, blend, and analyze data from various sources. With its intuitive drag-and-drop interface, Alteryx simplifies complex data processes, enabling users to generate insights and make data-driven decisions efficiently.
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