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Personalization
Thematic personalization
Shape your creative and message to appeal to each target — using Facebook Custom Audiences
You’ll need a Faraday account to use this template. It’s free to sign up and you can use sample data to start.
If you’re a Faraday user who also relies on Facebook Custom Audiences, adding Thematic personalization predictions to the mix can be quite helpful. Think of it as a way to fine-tune your messages and creatives to better resonate with each segment of your audience. By understanding what themes and types of content appeal most to different groups, you can craft more relevant ads that feel tailored and personal. This isn't about flashy tactics; it's about making sure your messaging just clicks with each target group, potentially improving engagement and results in a smooth, intuitive way.
- Step 1
Connect your data sources
Use the link below to connect Facebook Custom Audiences to Faraday. You can also skip this step and use CSV files to get started instead. - Step 2
Ingest your data into event streams
This allows Faraday to understand what your data means. This link will guide you through ingesting the data necessary to power this template. - Step 3
Organize your customer data
You'll create groups, called cohorts, that are the essential building blocks of Faraday and allow you to easily predict any customer behavior. - Step 4
Declare your prediction objectives
With your cohorts defined, it's easy to instruct Faraday to predict the necessary behaviors. Follow the docs with the link below. - Step 5
Define your content personalization pipeline and deploy to Facebook Custom Audiences
Finally, deploy your prediction with the link below. - Step 6
Deploy to Facebook Custom Audiences
Create a deployment target using the Facebook Custom Audiences connection you created above. Or, get started by simply deploying to CSV.
Deploy your thematic personalization predictions to . . .
Aurora (MySQL)
AWS Aurora Postgres
Azure SQL
BigQuery
Facebook Custom Audiences
GCS
Google Ads
Google Cloud SQL (MySQL)
Google Cloud SQL (Postgres)
Google Cloud SQL (SQL Server)
HubSpot
Iterable
Klaviyo
LinkedIn Ads
MySQL
Pinterest Ads
Poplar
Postgres
RDS (MySQL)
RDS (Postgres)
RDS (SQL Server)
Recharge
Redshift
Redshift Serverless
S3
Salesforce
Salesforce Marketing Cloud
Segment
SFTP
Shopify
Snowflake
SQL Server
Stripe
The Trade Desk
TikTok
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