Connect CallTrackingMetrics and Cassandra to Build Intelligent Automations
Enable Integrations or automations with these events of CallTrackingMetrics and Cassandra
Enable Integrations or automations with these events of CallTrackingMetrics and Cassandra
Triggers
New Call Starts
Runs when a new call starts.
Call Ends
Runs when a call ends.
Actions
Create Contact List
Creates a new contact list.
Send SMS
Sends an SMS message from your account to a specified phone number.
List Tracking Numbers
Lists tracking numbers with optional filters for number or name.
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Frequently Asked Questions
To start, connect both your CallTrackingMetrics and Cassandra accounts to viaSocket. Once connected, you can set up a workflow where an event in CallTrackingMetrics triggers actions in Cassandra (or vice versa).
Absolutely. You can customize how CallTrackingMetrics data is recorded in Cassandra. This includes choosing which data fields go into which fields of Cassandra, setting up custom formats, and filtering out unwanted information.
The data sync between CallTrackingMetrics and Cassandra 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 CallTrackingMetrics and Cassandra. 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 CallTrackingMetrics
Provides call tracking, dynamic number insertion, routing, recording, and multi-channel attribution to connect calls, texts, chats, and form fills to the marketing sources that drove them. Offers conversation intelligence (AI-driven transcription and analytics), a softphone, developer APIs, and native integrations (Google Ads, HubSpot, Salesforce) to sync call data across stacks.
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About Cassandra
Apache Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.
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