Connect Customers.ai and MYSQL to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Customers.ai
Choose an Action
Automatically do this!
Find row(s) from a table
Execute a Query (advanced)
Insert Row
Update row(s) in a table
Delete row
tesitng
Enable Integrations or automations with these events of Customers.ai and MYSQL
Enable Integrations or automations with these events of Customers.ai and MYSQL
Actions
Create Contact
Create a new contact in Customers.ai using phone or email, channel, optional name, and custom attributes.
Find row(s) from a table
Find row(s) via a lookup column.
Execute a Query (advanced)
You can select, create, update or delete row(s) of table via custom SQL query.
Insert Row
Adds a new row into the table.
Update row(s) in a table
Update any existing row in the given table.
Delete row
Deletes row from a table.
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Frequently Asked Questions
To start, connect both your Customers.ai and MYSQL accounts to viaSocket. Once connected, you can set up a workflow where an event in Customers.ai triggers actions in MYSQL (or vice versa).
Absolutely. You can customize how Customers.ai data is recorded in MYSQL. This includes choosing which data fields go into which fields of MYSQL, setting up custom formats, and filtering out unwanted information.
The data sync between Customers.ai and MYSQL 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 Customers.ai and MYSQL. 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 Customers.ai
Customers.ai is a lead-generating and outbound automation platform. Find who your customers are and contact them.
Learn MoreAbout MYSQL
MySQL is an open-source relational database management system (RDBMS) that uses Structured Query Language (SQL) for managing and querying data. It is widely used for its speed, reliability, and flexibility in handling large-scale database applications. MySQL is commonly employed in web development and is a key component of the popular LAMP stack (Linux, Apache, MySQL, PHP/Perl/Python).
Learn More
