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Personalization

Adaptive discounting

Offer your best promos to the customers who most deserve it — using Azure SQL

You’ll need a Faraday account to use this template. It’s free to sign up and you can use sample data to start.

Azure SQL logoIf you're using Faraday and also working with Azure SQL, integrating Adaptive discounting predictions can be a smart move. Think of it as a way to connect your powerful AI insights directly with your data infrastructure. This means you can seamlessly determine how significant a promotion each customer deserves, right within your existing setup. By keeping everything in one place, you can streamline your workflow and make smarter, data-driven decisions about your promotional offers. It's a practical approach to maximizing your marketing efforts without complicating your technology stack.
  1. Step 1

    Connect your data sources

    Use the link below to connect Azure SQL to Faraday. You can also skip this step and use CSV files to get started instead.
  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.
  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.
  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.
  5. Step 5

    Define your adaptive discounting pipeline and deploy to Azure SQL

    Finally, deploy your prediction with the link below.
  6. Step 6

    Deploy to Azure SQL

    Create a deployment target using the Azure SQL connection you created above. Or, get started by simply deploying to CSV.