Connect Mails.so and kazm to Build Intelligent Automations

Choose a Trigger

Mails.so

When this happens...

Choose an Action

kazm

Automatically do this!

Enable Integrations or automations with these events of Mails.so and kazm

Enable Integrations or automations with these events of Mails.so and kazm

Actions

Validate Email Address

Validate Email Address

Checks if a given email address is valid and if it can receive email.

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Frequently Asked Questions

How do I start an integration between Mails.so and kazm?

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

Can we customize how data from Mails.so is recorded in kazm?

Absolutely. You can customize how Mails.so 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 Mails.so and kazm?

The data sync between Mails.so 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 Mails.so 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 Mails.so and kazm?

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

Mails.so

About Mails.so

Mails.so is a comprehensive email management platform designed to streamline your email communication. It offers a suite of tools to enhance productivity, organize your inbox, and automate routine email tasks, making it an essential tool for both personal and professional use.

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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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