Connect virtually and chattermill to Build Intelligent Automations

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virtually

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chattermill

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Integrate virtually with your favorite apps

The app you are looking for is in beta, and we are awaiting verification from the app builders
before making it accessible to end users.
This process may take 15 to 30 days.

If you can’t wait, we can add the beta version to your viaSocket workspace within 24 hours.

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Frequently Asked Questions

How do I start an integration between virtually and chattermill?

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

Can we customize how data from virtually is recorded in chattermill?

Absolutely. You can customize how virtually data is recorded in chattermill. This includes choosing which data fields go into which fields of chattermill, setting up custom formats, and filtering out unwanted information.

How often does the data sync between virtually and chattermill?

The data sync between virtually and chattermill 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 virtually to chattermill?

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 virtually and chattermill?

Yes, you can set conditional logic to control the flow of data between virtually and chattermill. 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.

virtually

About virtually

Virtually is the easiest way to automate the backend for your live training program on Zoom. Schedule live sessions, send reminders, and track attendance from one place.

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chattermill

About chattermill

Chattermill is a powerful experience analytics platform. We use the latest in deep learning to extract relevant insight from customer feedback.

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