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.

If 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.

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.
Azure SQL
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.
Forecasted spend
Step 5
Define your adaptive discounting pipeline and deploy to Azure SQL
Finally, deploy your prediction with the link below.
Adaptive discounting
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.
Azure SQL