Connect Google Ads and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
New Lead form Entry
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
Use the Built-in Integrations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Lead form Entry
Triggers whenever a new lead is created from a Lead Form Extension.
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your Google Ads integrations.
Find Campaign by ID or Name
Finds a Google Ads Campaign whose names or id matches the provided input.
Add Contact to Customer List with Email
Adds a contact to a customer list. This uses the Data Manager API, which is being beta tested by Google.
Find Customer list
find customer list by name
Set Campaign Status
Sets the status of a Google Ads campaign.
Create Anomaly Score
Calculates the anomaly score of a data instance.
Create Centroid
Find out the closest cluster to your data instance
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Frequently Asked Questions
To start, connect both your Google Ads and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Ads triggers actions in BigML (or vice versa).
Absolutely. You can customize how Google Ads 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 Ads 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 Ads 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 Ads
Google Ads is an online advertising platform developed by Google, where advertisers can display brief advertisements, service offerings, product listings, or videos to web users. It can place ads both in the results of search engines like Google Search and on non-search websites, mobile apps, and videos.
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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