Thematic personalization

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 using BigQuery and are looking to get more personal with your messaging, Faraday's thematic personalization predictions might be just what you need. Think of it as a way to tailor your creative and messages to really resonate with different segments of your audience. By integrating these predictions into BigQuery, you can seamlessly analyze and apply insights without jumping between platforms. It’s a straightforward way to make sure your campaigns speak directly to each type of target, all within the data environment you're already comfortable with. It’s a small step that can help make a big difference in how effectively you connect with your customers.

Step 1
Connect your data sources
Use the link below to connect BigQuery to Faraday. You can also skip this step and use CSV files to get started instead.
BigQuery
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.
Transaction
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.
Customers
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.
Customer personas
Step 5
Define your content personalization pipeline and deploy to BigQuery
Finally, deploy your prediction with the link below.
Content personalization
Step 6
Deploy to BigQuery
Create a deployment target using the BigQuery connection you created above. Or, get started by simply deploying to CSV.
BigQuery