Connect Crowdsignal and kazm to Build Intelligent Automations

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Crowdsignal

When this happens...

Choose an Action

kazm

Automatically do this!

Enable Integrations or automations with these events of Crowdsignal and kazm

Enable Integrations or automations with these events of Crowdsignal and kazm

Actions

Get Poll

Get Poll

Get poll details by ID.

Request a new Action for Crowdsignal

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Frequently Asked Questions

How do I start an integration between Crowdsignal and kazm?

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

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

Absolutely. You can customize how Crowdsignal 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 Crowdsignal and kazm?

The data sync between Crowdsignal 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 Crowdsignal 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 Crowdsignal and kazm?

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

Crowdsignal

About Crowdsignal

Crowdsignal is a versatile platform for creating surveys, polls, and quizzes to gather feedback and insights from your audience. It offers customizable options to tailor your data collection to specific needs, making it ideal for businesses, educators, and researchers.

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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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