Connect Reamaze and Causal to Build Intelligent Automations

Choose a Trigger

Reamaze

When this happens...

Choose an Action

Causal

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Enable Integrations or automations with these events of Reamaze and Causal

Enable Integrations or automations with these events of Reamaze and Causal

Triggers

New conversation

New conversation

Trigger when new conversation is created

New message

New message

Trigger when new message is created

New contact

New contact

Trigger when new contact is created

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Frequently Asked Questions

How do I start an integration between Reamaze and Causal?

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

Can we customize how data from Reamaze is recorded in Causal?

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

How often does the data sync between Reamaze and Causal?

The data sync between Reamaze and Causal 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 Reamaze to Causal?

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 Reamaze and Causal?

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

Reamaze

About Reamaze

Reamaze is a web-based customer communication platform that integrates email, social media, and live chat functionalities to provide a comprehensive support solution for businesses.

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Causal

About Causal

Causal is a modern tool designed to simplify financial modeling, forecasting, and data analysis. It allows users to create dynamic models with ease, offering a more intuitive and collaborative approach to handling complex data. With Causal, users can connect their data sources, visualize outcomes, and share insights seamlessly, making it an ideal solution for businesses and individuals looking to enhance their decision-making processes.

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