
When this happens...
New Lead Submitted

Automatically do this!
Delete Rows
Run SQL Query
Insert Rows
Update Rows
Create Table
List BigQuery Projects
List Datasets in Project
List Tables In Dataset
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when New Lead Submitted
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
Deletes rows in a Google BigQuery table that match the condition you provide.
Run a SQL query on Google BigQuery and return the results.

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To start, connect both your Facebook Lead Ads and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in Facebook Lead Ads triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how Facebook Lead Ads data is recorded in Google Bigquery. This includes choosing which data fields go into which fields of Google Bigquery, setting up custom formats, and filtering out unwanted information.
The data sync between Facebook Lead Ads and Google Bigquery 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 Google Bigquery. 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 MoreBigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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