Connect PushAlert and MonkeyLearn Legacy to Build Intelligent Automations
Enable Integrations or automations with these events of PushAlert and MonkeyLearn Legacy
Enable Integrations or automations with these events of PushAlert and MonkeyLearn Legacy
Actions
Get Segments
Get a list of all segments with their IDs and total subscribers.
Create Segment
Create a new segment to target users with web push notifications
Send Segment Notification
Send a push notification to a specific PushAlert segment.
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Frequently Asked Questions
To start, connect both your PushAlert and MonkeyLearn Legacy accounts to viaSocket. Once connected, you can set up a workflow where an event in PushAlert triggers actions in MonkeyLearn Legacy (or vice versa).
Absolutely. You can customize how PushAlert data is recorded in MonkeyLearn Legacy. This includes choosing which data fields go into which fields of MonkeyLearn Legacy, setting up custom formats, and filtering out unwanted information.
The data sync between PushAlert and MonkeyLearn Legacy 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 PushAlert and MonkeyLearn Legacy. 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 PushAlert
PushAlert is a powerful platform designed to help businesses engage with their audience through web push notifications. It allows you to send real-time updates, offers, and personalized messages directly to your users' devices, ensuring higher engagement and conversion rates.
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About MonkeyLearn Legacy
MonkeyLearn is a Text Analysis platform that allows you to classify and extract actionable data from raw texts like emails, chats, webpages, documents, tweets and more! You can classify texts with custom tags like sentiment or topic, and extract any particular data like organizations or keywords.
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