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 already using Postgres and working with Faraday, you might find Thematic Personalization predictions particularly handy. With these predictions in Postgres, you can seamlessly align your marketing messages and creative content to resonate with different segments of your audience right within your existing database setup. It’s about making your customer outreach a bit more thoughtful and tailored without needing to juggle multiple tools. By integrating these insights directly into Postgres, you'll have a smoother workflow and more coherent data management, which can help you craft messages that truly connect with your targets. Simple as that.

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