Connect Google Analytics and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
Conversion Event Created
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 Google Analytics and BigML automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Conversion Event Created
Runs when conversion created
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your Google Analytics integrations.
List Analytics Accounts
List your Analytics accounts
Create Conversion Event
Create a conversion event
Get Conversion Event by ID
Get conversion event by ID
Create GA4 Measurement Secret
Add GA4 secret for events
Run Property Report
Generate a Google Analytics 4 report for a specified property and date range using selected metrics and dimensions.
List Custom Dimensions
Show GA4 custom dimensions
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Frequently Asked Questions
To start, connect both your Google Analytics and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Analytics triggers actions in BigML (or vice versa).
Absolutely. You can customize how Google Analytics 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 Google Analytics 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 Google Analytics 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 Google Analytics
Google Analytics is a powerful web analytics service offered by Google that tracks and reports website traffic, providing insights into user behavior, traffic sources, and marketing effectiveness.
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.
Learn More
