Integrations CallTrackingMetrics Contextual AI
CallTrackingMetrics + Contextual AI

Connect CallTrackingMetrics and Contextual AI to Build Intelligent Automations

Choose a Trigger

CallTrackingMetrics

When this happens...

Choose an Action

Contextual AI

Automatically do this!

Ready to use CallTrackingMetrics and Contextual AI automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Call Starts

New Call Starts

Runs when a new call starts.

Call Ends

Call Ends

Runs when a call ends.

Request a new Trigger for CallTrackingMetrics

Do thisActions

Action is the task that follows automatically within your CallTrackingMetrics integrations.

Create Contact List

Create Contact List

Creates a new contact list.

Send SMS

Send SMS

Sends an SMS message from your account to a specified phone number.

List Tracking Numbers

List Tracking Numbers

Lists tracking numbers with optional filters for number or name.

Create Datastore

Create Datastore

Create a new Datastore.

List Datastores

List Datastores

Retrieve a list of Datastores.

Get Datastore Metadata

Get Datastore Metadata

Get the details of a given Datastore, including its name, create time, and the list of Agents which are currently configured to use the Datastore.

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Frequently Asked Questions

How do I start an integration between CallTrackingMetrics and Contextual AI?

To start, connect both your CallTrackingMetrics and Contextual AI accounts to viaSocket. Once connected, you can set up a workflow where an event in CallTrackingMetrics triggers actions in Contextual AI (or vice versa).

Can we customize how data from CallTrackingMetrics is recorded in Contextual AI?

Absolutely. You can customize how CallTrackingMetrics data is recorded in Contextual AI. This includes choosing which data fields go into which fields of Contextual AI, setting up custom formats, and filtering out unwanted information.

How often does the data sync between CallTrackingMetrics and Contextual AI?

The data sync between CallTrackingMetrics and Contextual AI typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from CallTrackingMetrics to Contextual AI?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between CallTrackingMetrics and Contextual AI?

Yes, you can set conditional logic to control the flow of data between CallTrackingMetrics and Contextual AI. 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.

CallTrackingMetrics

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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Contextual AI

About Contextual AI

Contextual AI is a cutting-edge platform that leverages artificial intelligence to provide context-aware solutions. It helps businesses and developers create applications that understand and respond to the context of user interactions, enhancing user experience and engagement.

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