Connect AskHandle and kazm to Build Intelligent Automations
Choose a Trigger
When this happens...
New Room
Choose an Action
Automatically do this!
- Request a new Action for kazm
Enable Integrations or automations with these events of AskHandle and kazm
Enable Integrations or automations with these events of AskHandle and kazm
Triggers
New Room
Trigger when New Room is created
Actions
Get all Rooms Detail
Get all Rooms Detail
Create a Room
Create a Room
Get Keyword Notification
Get all Keyoword Notification in AskHandle.
Get leads
Get all leads in AskHandle.
Know More About Askhandle and Kazm Integrations
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Frequently Asked Questions
To start, connect both your AskHandle and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in AskHandle triggers actions in kazm (or vice versa).
Absolutely. You can customize how AskHandle data is recorded in kazm. This includes choosing which data fields go into which fields of kazm, setting up custom formats, and filtering out unwanted information.
The data sync between AskHandle and kazm 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 AskHandle and kazm. 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 AskHandle
AskHandle is a versatile platform designed to streamline customer support and enhance communication between businesses and their clients. It offers a range of tools to manage inquiries, provide timely responses, and ensure customer satisfaction. With its user-friendly interface, businesses can efficiently handle customer queries and improve their overall support experience.
Learn MoreAbout kazm
Kazm is the data-driven CRM for Web3. We plug into every community touchpoint to create unified customer profiles, then apply machine learning and other methods to label, segment, and help personalize experiences for users.
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