
When this happens...
New Lead Submitted

Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
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When this happensTriggers
A trigger is an event that starts a workflow.
Runs when New Lead Submitted
Triggers when a new resource is created
Action is the task that follows automatically within your Facebook Lead Ads integrations.
Get one page of leads from the selected lead form, with optional limit/offset pagination and a next-page cursor.
Get lead forms from Facebook
Get lead form details by ID
Retrieve a Facebook lead by ID
Calculates the anomaly score of a data instance.
Find out the closest cluster to your data instance

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To start, connect both your Facebook Lead Ads and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Facebook Lead Ads triggers actions in BigML (or vice versa).
Absolutely. You can customize how Facebook Lead 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 Facebook Lead 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 Facebook Lead 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.
Automate the process of capturing and managing leads from Facebook. Seamlessly integrate your Facebook lead generation campaigns with your CRM or email marketing tools to ensure no potential customer is missed.
Learn MoreBigML 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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