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 Databricks Delta Sharing and are curious about how to tailor your messaging to resonate with different audiences, Faraday's thematic personalization predictions could be a nifty addition to your toolkit. By weaving these predictions into your data sharing workflows, you can gain insights into what types of messages and creative content are likely to connect with each of your target segments. This integration helps you make data-driven decisions about your marketing strategies, ensuring that your creative efforts are both effective and relevant. It's a simple way to personalize your approach and connect more meaningfully with your audience.

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