Connect PostgreSQL and ZillaMetrics Intake Chat to Build Intelligent Automations
Enable Integrations or automations with these events of PostgreSQL and ZillaMetrics Intake Chat
Enable Integrations or automations with these events of PostgreSQL and ZillaMetrics Intake Chat
Triggers
Postgresql (mutiple table)
Get all the data, which was updated in last 15 min, from all the table provided.
Actions
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.
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Frequently Asked Questions
To start, connect both your PostgreSQL and ZillaMetrics Intake Chat accounts to viaSocket. Once connected, you can set up a workflow where an event in PostgreSQL triggers actions in ZillaMetrics Intake Chat (or vice versa).
Absolutely. You can customize how PostgreSQL data is recorded in ZillaMetrics Intake Chat. This includes choosing which data fields go into which fields of ZillaMetrics Intake Chat, setting up custom formats, and filtering out unwanted information.
The data sync between PostgreSQL and ZillaMetrics Intake Chat 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 PostgreSQL and ZillaMetrics Intake Chat. 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 ZillaMetrics Intake Chat
ZillaMetrics Intake Chat is a conversational chatbot and live chat platform that helps law firms generate higher-quality leads, answer common questions, and automate the intake and booking process.
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