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.

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If you're using Faraday's thematic personalization predictions, you're probably looking for a way to tailor your marketing messages to really resonate with your audience. By bringing these predictions into Databricks Delta Sharing, you can seamlessly integrate them with your existing data infrastructure. This means you can easily distribute personalized insights across your team and keep everything synced with your data pipelines. It’s a straightforward way to make sure the right people in your organization get the insights they need to craft messages that truly connect with your customers, all while leveraging the collaborative power of Databricks. It's about making personalized marketing just a little bit simpler.

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