Sync data from
Elasticsearch to Facebook Custom Audiences
Connect your data from Elasticsearch 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 Elasticsearch, 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 Elasticsearch 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.
Why is it valuable to sync Elasticsearch data to Facebook Custom Audiences?
Thanks to Elasticsearch, it's easier than ever to access your customer data, run complex queries, and segment your customers/users into various categories or audiences.
However, to target users and send conversion data to Facebook Custom Audiences, you need access to all of the unique behavioral data (e.g., last-login date, items in cart, pages viewed, etc.) and core business metrics like lifetime value, workspaces, subscriptions, annual recurring revenue, etc. that lives in Elasticsearch. You then need to be able to package this data to send to Facebook Custom Audiences in the format expected. Plus, you want to do this in a real-time and automated way.
Facebook Custom Audiences is only as good as the data you give them, and if you truly want to optimize your ad spend, increase your match rates, and drive conversions, you need to provide custom data from Elasticsearch within your warehouse.
Maybe you want to retarget users who abandoned their shopping cart in the last seven days, or upload a list of high-value customers to identify potential lookalike audiences, or perhaps you want to upload offline conversion events to reduce your customer acquisition costs and increase your return on ad spend.
Why should you use reverse ETL to connect Elasticsearch and Facebook Custom Audiences data?
In the past, uploading customer data to Facebook Custom Audiences meant hopping back and forth between your various SaaS applications or asking your data team for CSV files. Neither of these options is preferable because marketing teams want to self-serve, and data teams don't enjoy constantly fulfilling one-off marketing requests.
Even worse, if you truly want to optimize your advertising campaigns, you need to be uploading fresh data consistently. Non-fresh data can be expensive for ads. If you're using CSVs to define who to exclude from paid ads and you're uploading that data weekly, that's potentially one week of irrelevant ads. As a workaround, engineering teams will integrate directly with the Facebook Custom Audiences API, and build and maintain custom in-house pipelines. The problem is that a single API change can break everything, and data engineers don't want to spend their time building and maintaining pipelines.
With Hightouch, you can leverage the existing data models and customer segments your engineering team has defined in your warehouse and sync that data directly to your ad platforms in real time. You can schedule your data syncs to run automatically, on a set cadence, or even for the exact duration of your marketing campaign. Hightouch lets your data teams establish the guardrails for your marketers to self-serve and build custom audiences through a drag-and-drop interface.
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
Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured.Learn more about Elasticsearch
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
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