Sync data from
Airtable to Facebook Custom Audiences
Connect your data from Airtable to Facebook Custom Audiences with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
Trusted by data teams at
Trusted by data teams at
Integrate your data in 3 easy steps
01
Add your source and destination
Connect to 15+ data sources, like Airtable, and 150+ destinations, like Facebook Custom Audiences.
Connect
Log in
02
Define your model
Use SQL or select an existing dbt or Looker model.
03
Sync your data
Define how fields from your model map to Facebook Custom Audiences, and start syncing.
email
email
name
name
total_orders
all_orders
last_login
last_login
Where can you sync your Airtable data in Facebook Custom Audiences
Custom Audiences
The Marketing API allows you to build target Custom Audiences from customer information. This includes email addresses, phone numbers, names, dates of birth, gender, locations, App User IDs, Page Scoped User IDs, Apple's Advertising Identifier (IDFA), or Android Advertising ID.
Upload lists to Facebook to run ads based on certain attributes within your database, such as people who have visited your site
Create lookalike audiences on Facebook using subsets of your users rather than all of them
Continuously fuel your Facebook custom audiences with live data so that data remains fresh
About Airtable
Airtable works like a spreadsheet but gives you the power of a database to organize anything.
Learn more about Airtable
About Facebook Custom Audiences
A Facebook Custom Audience is a targeted advertising service that allows businesses to import information or “identifiers” about leads and customers (such as email and phone number) to retarget them via ads on Facebook.
Learn more about Facebook Custom AudiencesOther Airtable Integrations
Other Facebook Custom Audiences integrations
Hightouch Playbooks: Best practices to leverage reverse ETL
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What is Operational Analytics & Why You Should Use It
Operational Analytics shifts the focus from simply understanding data to taking action on it in the tools that run business processes. Instead of using dashboards to make decisions, Operational Analytics is focused on turning insights into action – automatically.
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This might be one of the greatest inventions for technical marketers since the advent of legacy CDPs back in 2015.
Austin Hay
Head of Marketing Technology
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Ramp
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52%
increase in return on ad spend
20%
improvement in email engagement
60%
lift in customer acquisition