Connect Cliengo and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
New Customer/Contact
Updated Customer
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of Cliengo and Coursera: Data Science Specialization
Enable Integrations or automations with these events of Cliengo and Coursera: Data Science Specialization
Triggers
New Customer/Contact
Triggers when a new contact/customer is created
Updated Customer
Triggers when a new customer is created or updated
Actions
Create Customer
creates a new customer
Search Agent
Search a agent
Update Customer
Update an existing custome
Search Customer
Search a customer
List Account
List all account
List Account Payments
List all account payments
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- text is aiReplytoCommentSend a Private ReplyAdd Step
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- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
Automate Expense Report Approvals via Slack & QuickBooks
- Send for Approval acceptCreate Entry of expensesAdd Step
- Send for rejectMail for RejectionAdd Step
Automate Instagram DM Replies, Reactions, and Team Alerts
- has responseSendDMMessageAdd Step
- Notify teamSendMailAdd Step
- has reactSendDMMessage ReactAdd Step
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Frequently Asked Questions
To start, connect both your Cliengo and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Cliengo triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Cliengo 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 Cliengo 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 Cliengo 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.
About Cliengo
Cliengo is a powerful chatbot and customer relationship management (CRM) tool designed to help businesses automate their customer service and sales processes. By integrating Cliengo into your workflow, you can enhance customer engagement, streamline communication, and improve overall efficiency.
Learn MoreAbout Coursera: Data Science Specialization
Master 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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