Enable Integrations or automations with these events of tawk.to and quicktable
Runs when a visitor begins a chat on the selected Tawk.to property.
Ends an active Tawk.to chat for the selected property.
Runs when a new chat transcript is saved for the selected Tawk.to property.
Creates a support ticket in Tawk.to for a chat on the selected property.
Creates a new Tawk.to site and optionally sends widget installation instructions to your email.
Retrieve detailed information about a Tawk.to property, including its settings, team members, chat widgets, files, and creation date.
Creates a new chat widget for a selected Tawk.to property so visitors can message you.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your tawk.to and quicktable accounts to viaSocket. Once connected, you can set up a workflow where an event in tawk.to triggers actions in quicktable (or vice versa).
Absolutely. You can customize how tawk.to data is recorded in quicktable. This includes choosing which data fields go into which fields of quicktable, setting up custom formats, and filtering out unwanted information.
The data sync between tawk.to and quicktable 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 tawk.to and quicktable. 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.
tawk.to is a free live chat app that lets you monitor and chat with visitors on your website or from a free customizable page.
Learn MoreQuickTable is a visual data modeling tool that lets everyone clean and transforms data without writing code. Using QuickTable helps reduce the time it takes to prepare data for analytics and modeling by up to 70 percent compared to traditional ways.
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