Connect Customers.ai and kazm to Build Intelligent Automations

Choose a Trigger

Customers.ai

When this happens...

Choose an Action

kazm

Automatically do this!

Enable Integrations or automations with these events of Customers.ai and kazm

Enable Integrations or automations with these events of Customers.ai and kazm

Actions

Create Contact

Create Contact

Create a new contact in Customers.ai using phone or email, channel, optional name, and custom attributes.

Request a new Action for Customers.ai

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Frequently Asked Questions

How do I start an integration between Customers.ai and kazm?

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

Can we customize how data from Customers.ai is recorded in kazm?

Absolutely. You can customize how Customers.ai 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 Customers.ai and kazm?

The data sync between Customers.ai 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 Customers.ai 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 Customers.ai and kazm?

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

Customers.ai

About Customers.ai

Customers.ai is a lead-generating and outbound automation platform. Find who your customers are and contact them.

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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.

Learn More