Connect Google Analytics 4 and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
New Conversion Events
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 4 and BigML automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Conversion Events
Trigger when a new conversion event is created.
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your Google Analytics 4 integrations.
Create Conversion Event
Create a conversion event for a specified Google Analytics 4 property using the provided event name.
Get Conversion Event
Retrieve a specific conversion event (by ID) from a Google Analytics 4 property.
Create Measurement Secret
Creates a Measurement Protocol Secret for a Google Analytics 4 data stream so you can send events via the Measurement Protocol.
Run Property Report
Generate a Google Analytics 4 report for a specified property and date range using selected metrics and dimensions.
List all Custom Dimensions for Specific Property
Returns metadata for dimensions and metrics available in reporting methods.
Create Anomaly Score
Calculates the anomaly score of a data instance.
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Frequently Asked Questions
To start, connect both your Google Analytics 4 and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Analytics 4 triggers actions in BigML (or vice versa).
Absolutely. You can customize how Google Analytics 4 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 4 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 4 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 4
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.
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