Connect Hotmart and DataRobot to Build Intelligent Automations
Choose a Trigger
When this happens...
Change Plan
Choose an Action
Automatically do this!
- Request a new Action for DataRobot
Enable Integrations or automations with these events of Hotmart and DataRobot
Enable Integrations or automations with these events of Hotmart and DataRobot
Triggers
Change Plan
Tiggers when there is change in plan.
Actions
Get sales price
Get all sales price.
List products
Get all products.
Know More About Hotmart and Datarobot Integrations
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Frequently Asked Questions
To start, connect both your Hotmart and DataRobot accounts to viaSocket. Once connected, you can set up a workflow where an event in Hotmart triggers actions in DataRobot (or vice versa).
Absolutely. You can customize how Hotmart data is recorded in DataRobot. This includes choosing which data fields go into which fields of DataRobot, setting up custom formats, and filtering out unwanted information.
The data sync between Hotmart and DataRobot 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 Hotmart and DataRobot. 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 Hotmart
Hotmart is a comprehensive platform designed for digital product creators and entrepreneurs to sell, manage, and promote their products online. It offers tools for payment processing, marketing, and analytics to help users grow their business.
Learn MoreAbout DataRobot
DataRobot is a leading AI platform that enables organizations to harness the power of machine learning and artificial intelligence to drive business insights and decision-making. It offers automated machine learning capabilities, allowing users to build, deploy, and manage AI models efficiently.
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