Adaptive discounting

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 a Faraday user who also relies on RDS (SQL Server), integrating Adaptive discounting predictions could really enhance your promotional strategies. The key benefit is that it helps you figure out the perfect level of discount to offer each customer. By leveraging Faraday’s insights directly within your SQL Server, you can seamlessly incorporate these tailored promotions into your database workflows. It’s not about throwing out big discounts to everyone; instead, you’re making smart, data-driven decisions on who gets what, ensuring you get the best return on each promotion. It’s a straightforward way to get more value from your existing RDS setup without adding extra complexity.

Step 1
Connect your data sources
Use the link below to connect RDS (SQL Server) to Faraday. You can also skip this step and use CSV files to get started instead.
RDS (SQL Server)
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 RDS (SQL Server)
Finally, deploy your prediction with the link below.
Adaptive discounting
Step 6
Deploy to RDS (SQL Server)
Create a deployment target using the RDS (SQL Server) connection you created above. Or, get started by simply deploying to CSV.
RDS (SQL Server)