Connect Sendlane and Roboflow to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Sendlane
Choose an Action
Automatically do this!
- Request a new Action for Roboflow
Enable Integrations or automations with these events of Sendlane and Roboflow
Enable Integrations or automations with these events of Sendlane and Roboflow
Actions
Subscribe a Contact
Subscribe a contact by its email ID.
Unsubscribe a Contact
Unsubscribe a contact by its email ID
Delete a Contact
Delete a Contact by its email id
Get a Contact Detail
Get a contact detail by its email id
Create a List
Create a list and specify sender's profile detail
Update a List
Update a list from the list ID
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Frequently Asked Questions
To start, connect both your Sendlane and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in Sendlane triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how Sendlane data is recorded in Roboflow. This includes choosing which data fields go into which fields of Roboflow, setting up custom formats, and filtering out unwanted information.
The data sync between Sendlane and Roboflow 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 Sendlane and Roboflow. 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 Sendlane
Sendlane is an email marketing service that provides businesses with tools to create and send email campaigns, automate marketing processes, and analyze email engagement. It's designed to help improve customer communication and drive sales.
Learn MoreAbout Roboflow
Roboflow is a platform designed to streamline the process of building, training, and deploying computer vision models. It provides tools for managing datasets, annotating images, and integrating machine learning models into applications, making it easier for developers and data scientists to work with visual data.
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