Connect TagMango and Drop Cowboy to Build Intelligent Automations
Enable Integrations or automations with these events of TagMango and Drop Cowboy
Enable Integrations or automations with these events of TagMango and Drop Cowboy
Triggers
New Order Created
Trigger when new order completed
Course Progress Event
Trigger when new progress started.
Course Completion
This event is triggered when a subscriber completes watching/consuming the entire course.
New Recurring Order Completed
Triggers when new recurring order is created.
Incomplete Order Created
Triggers when incomplete order created.
Actions
Migrate User
The migrate user allows the arbitrary addition of customers to any mango. The behaviour of the API is the same as the add customer option on the customers page in the TagMango dashboard.
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Frequently Asked Questions
To start, connect both your TagMango and Drop Cowboy accounts to viaSocket. Once connected, you can set up a workflow where an event in TagMango triggers actions in Drop Cowboy (or vice versa).
Absolutely. You can customize how TagMango data is recorded in Drop Cowboy. This includes choosing which data fields go into which fields of Drop Cowboy, setting up custom formats, and filtering out unwanted information.
The data sync between TagMango and Drop Cowboy 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 TagMango and Drop Cowboy. 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 TagMango
TagMango is a platform that empowers creators to monetize their content and engage with their audience through personalized experiences. It provides tools for creators to offer exclusive content, workshops, and more, enabling them to build a sustainable income stream.
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