
When this happens...
Call Ends
New Lead Is Created
Lead Is Updated

Automatically do this!
Create App
List All Spaces
Create Space
Copy App
List Items
Invite User
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when call ends
Runs when new lead is created
Runs when lead is tagged or its status is updated.
Action is the task that follows automatically within your Callingly integrations.
Create a new client and return the client's details.
Connect a lead to the first available team member by phone.
Create or update a lead and schedule your team to call them at a chosen time.
Create a new team
Create a new Qlik Sense app
Get all spaces in tenant
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To start, connect both your Callingly and Qlik accounts to viaSocket. Once connected, you can set up a workflow where an event in Callingly triggers actions in Qlik (or vice versa).
Absolutely. You can customize how Callingly data is recorded in Qlik. This includes choosing which data fields go into which fields of Qlik, setting up custom formats, and filtering out unwanted information.
The data sync between Callingly and Qlik 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 Callingly and Qlik. 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.
Callingly is a powerful tool designed to help businesses connect with leads instantly by automating the process of making phone calls. It ensures that sales teams can respond to inquiries quickly, improving conversion rates and customer satisfaction.
Learn MoreQlik is a powerful data analytics and business intelligence platform that helps organizations make data-driven decisions. It offers a range of tools for data visualization, reporting, and dashboard creation, enabling users to gain insights from their data quickly and efficiently.
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