Sync data from
Azure Blob Storage to Facebook Custom Audiences
Connect your data from Azure Blob Storage to Facebook Custom Audiences with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
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Integrate your data in 3 easy steps
Add your source and destination
Connect to 15+ data sources, like Azure Blob Storage, and 140+ destinations, like Facebook Custom Audiences.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to Facebook Custom Audiences, and start syncing.
Where can you sync your Azure Blob Storage data in Facebook 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 Azure Blob Storage
Azure Blob Storage helps you create data lakes for your analytics needs, and provides storage to build powerful cloud-native and mobile apps. Optimize costs with tiered storage for your long-term data, and flexibly scale up for high-performance computing and machine learning workloads.Learn more about Azure Blob Storage
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 Audiences
Other Azure Blob Storage 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.Read
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increase in return on ad spend
improvement in email engagement
lift in customer acquisition