Connect Lofty and Qminder to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Lofty
Choose an Action
Automatically do this!
Add visitor to line
Ready to use Lofty and Qminder automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Add visitor to queue
Triggers when a new visitor is added.
visitor checks in
runs when visitor checks in
Mark visitor as served
Set a visitor's status to 'served' in Qminder to update the queue and record service completion.
Do thisActions
Action is the task that follows automatically within your Lofty integrations.
Create New Lead
Create a new lead
Add Note to Lead
Add a note to a lead
Update Lead
Update lead details
Search Leads
Find and list leads
Send Email To Agent
Send an email to an agent
Create Agent
Create a new agent profile
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Frequently Asked Questions
To start, connect both your Lofty and Qminder accounts to viaSocket. Once connected, you can set up a workflow where an event in Lofty triggers actions in Qminder (or vice versa).
Absolutely. You can customize how Lofty data is recorded in Qminder. This includes choosing which data fields go into which fields of Qminder, setting up custom formats, and filtering out unwanted information.
The data sync between Lofty and Qminder 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 Lofty and Qminder. 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 Lofty
Lofty is a cloud-based tool for creating, organizing, and tracking tasks and projects.
Learn MoreAbout Qminder
Qminder is a queue management system designed to streamline customer service and improve the waiting experience. It helps businesses manage queues efficiently, providing real-time data and insights to enhance customer satisfaction.
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