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Customer targeting

Churn scoring

Know which customers are ready to churn while there's still time to save them — using Databricks Delta Sharing

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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Databricks Delta Sharing logoIf you're using Faraday for churn scoring predictions and you're also a Databricks Delta Sharing user, integrating the two can be a game-changer for your team. Imagine having a seamless flow of insights where you can pinpoint which customers might be thinking of leaving, right within your existing analytics environment. By bringing churn predictions into Databricks Delta Sharing, you're streamlining your data processes, making it easier to collaborate with your team and make informed decisions before it's too late. This setup can help you respond more quickly to customer needs and reduce the likelihood of losing valuable clientele. It's all about making your workflow a little smoother and your data a little smarter.
  1. 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
  2. Step 2

    Ingest your data into event streams

    This allows Faraday to understand what your data means. These links will guide you through ingesting the data necessary to power this template.
    TransactionCancellation
  3. 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.
    CustomersChurned customers
  4. 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.
    Likelihood to churn
  5. Step 5

    Define your churn scoring pipeline and deploy to Databricks Delta Sharing

    Finally, deploy your prediction with the link below.
    Churn scoring
  6. 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

Deploy your churn scoring predictions to . . .

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