
When this happens...
New Contact
Contact Updated
Contact Tags Changed
Message Sent
Message Status Updated
Automatically do this!
Enable Integrations or automations with these events of SuperPhone and Coursera: Data Science Specialization
Triggers when a new contact is created in SuperPhone.
Triggers when a specific contact is updated.
Triggers when a contact tags is changed in SuperPhone.
Triggers when a new message is sent in SuperPhone.
Triggers when a specific message is updated.
Creates a new contact in SuperPhone.
Add a custom contribution to a SuperPhone contact.
Sends a message to your contact with optional files.
Update a contact details in SuperPhone.
Find a contact by Contact ID or email and return its details.
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To start, connect both your SuperPhone and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in SuperPhone triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how SuperPhone data is recorded in Coursera: Data Science Specialization. This includes choosing which data fields go into which fields of Coursera: Data Science Specialization, setting up custom formats, and filtering out unwanted information.
The data sync between SuperPhone and Coursera: Data Science Specialization 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 SuperPhone and Coursera: Data Science Specialization. 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.
SuperPhone is a text marketing platform with broadcasts and 1-to-1 chat to help grow your text marketing channel.
Learn MoreMaster the art of data science with Coursera’s Data Science Specialization, created by Johns Hopkins University. This program guides you through the full data science pipeline—from data wrangling and statistical analysis to machine learning and data visualization—using R and real-world projects.
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