Thematic personalization

You will need a Faraday account to use this template. It is free to sign up and you will just need some sample data to start.

Get started for free

If you're a Faraday user who's also working with Databricks, integrating thematic personalization predictions can really streamline your workflow. Picture this: instead of juggling between different systems to tailor your messages, you could have those valuable insights right where your data lives. This makes it a breeze to shape and deliver messages that resonate with each unique target. Plus, having these predictions in Databricks means you can quickly analyze and act on the data without jumping through hoops. It's a practical step towards making your creative strategies more effective and your processes more efficient.

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