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Adaptive discounting

Offer your best promos to the customers who most deserve it — 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's adaptive discounting predictions and you're also a Databricks Delta Sharing user, there's a nice synergy that can make your work a little smoother. By leveraging Delta Sharing, you can seamlessly integrate the predictive insights from Faraday right into your data workflows. This setup can help you get more precise about the kinds of promotions you offer, tailoring them to the customers who are most likely to appreciate and act on them. Instead of managing separate data sources, Delta Sharing allows you to easily pull Faraday's predictions into one place. This means you can focus on refining your promotional strategies and making data-driven decisions without the hassle of juggling different systems. It's a relaxed way of keeping everything organized and efficient.
  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. This link will guide you through ingesting the data necessary to power this template.
    Transaction
  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.
    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.
    Forecasted spend
  5. Step 5

    Define your adaptive discounting pipeline and deploy to Databricks Delta Sharing

    Finally, deploy your prediction with the link below.
    Adaptive discounting
  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 adaptive discounting predictions to . . .

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