Connect Flokzu and kazm to Build Intelligent Automations

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Flokzu

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Choose an Action

kazm

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Enable Integrations or automations with these events of Flokzu and kazm

Enable Integrations or automations with these events of Flokzu and kazm

Actions

Get User Role

Get User Role

Get User Role

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Frequently Asked Questions

How do I start an integration between Flokzu and kazm?

To start, connect both your Flokzu and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Flokzu triggers actions in kazm (or vice versa).

Can we customize how data from Flokzu is recorded in kazm?

Absolutely. You can customize how Flokzu 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.

How often does the data sync between Flokzu and kazm?

The data sync between Flokzu and kazm typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Flokzu to kazm?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Flokzu and kazm?

Yes, you can set conditional logic to control the flow of data between Flokzu 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.

Flokzu

About Flokzu

Flokzu is a cloud-based workflow automation software that allows businesses to design, run, and optimize their processes without the need for coding. It provides a platform for creating custom workflows, automating repetitive tasks, and improving team collaboration. With Flokzu, organizations can streamline their operations, enhance productivity, and ensure compliance with business rules.

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kazm

About 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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