Connect Optform and kazm to Build Intelligent Automations

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Optform

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kazm

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Enable Integrations or automations with these events of Optform and kazm

Enable Integrations or automations with these events of Optform and kazm

Triggers

Receives New Form Submission

Receives New Form Submission

Runs when a new form submission is received in Optform.

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Frequently Asked Questions

How do I start an integration between Optform and kazm?

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

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

Absolutely. You can customize how Optform 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 Optform and kazm?

The data sync between Optform 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 Optform 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 Optform and kazm?

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

Optform

About Optform

Optform is a versatile platform designed to streamline form creation and data collection for businesses and individuals. With its user-friendly interface, Optform allows users to easily design, distribute, and analyze forms, making it an essential tool for efficient data management.

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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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