Connect CallTrackingMetrics and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
New Call Starts
Call Ends
Choose an Action
Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
List Sources
List Datasets
List Sample
List Model
List Time Series
List Evaluations
List OptiMLs
List Clusters
List Anomaly Detectors
List Predictions
List Batch Predictions
List Forecasts
List Anomaly Scores
List Batch Anomaly Scores
List Topic Distributions
List Batch Topic Distributions
List Projections
List Batch Projections
List Scripts
List Executions
Ready to use CallTrackingMetrics and BigML automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Call Starts
Runs when a new call starts.
Call Ends
Runs when a call ends.
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your CallTrackingMetrics integrations.
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.
Create Anomaly Score
Calculates the anomaly score of a data instance.
Create Centroid
Find out the closest cluster to your data instance
Create Prediction
Predict using a model , logistic regression or deepnets
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Frequently Asked Questions
To start, connect both your CallTrackingMetrics and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in CallTrackingMetrics triggers actions in BigML (or vice versa).
Absolutely. You can customize how CallTrackingMetrics data is recorded in BigML. This includes choosing which data fields go into which fields of BigML, setting up custom formats, and filtering out unwanted information.
The data sync between CallTrackingMetrics and BigML 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 BigML. 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.
Learn MoreAbout BigML
BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.
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