Connect Notificare and ClosedLoop AI to Build Intelligent Automations
Ready to use Notificare and ClosedLoop AI automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Product Insight Generated
Runs when new product insight is generated
Do thisActions
Action is the task that follows automatically within your Notificare integrations.
Create Application
Create a new application.
Update Application
Modify an application.
Delete Application
Delete Application
Ingest Feedback
Send customer feedback from any source to extract product insights.
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Frequently Asked Questions
To start, connect both your Notificare and ClosedLoop AI accounts to viaSocket. Once connected, you can set up a workflow where an event in Notificare triggers actions in ClosedLoop AI (or vice versa).
Absolutely. You can customize how Notificare data is recorded in ClosedLoop AI. This includes choosing which data fields go into which fields of ClosedLoop AI, setting up custom formats, and filtering out unwanted information.
The data sync between Notificare and ClosedLoop AI typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Notificare and ClosedLoop AI. 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.
About Notificare
Notificare is a comprehensive platform designed to enhance customer engagement through personalized notifications and messaging. It offers tools for creating, managing, and analyzing push notifications, in-app messaging, and email campaigns, helping businesses to effectively reach and interact with their audience.
Learn MoreAbout ClosedLoop AI
ClosedLoop AI offers advanced AI solutions tailored for healthcare analytics, enabling organizations to leverage data-driven insights for improved patient outcomes and operational efficiency.
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