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 already using SQL Server and you're curious about how to fine-tune your promotional offers, Adaptive discounting predictions from Faraday might be a natural fit for you. Think of it as a way to use your existing data to figure out which customers should get the best deals, without any guesswork. Instead of blasting out one-size-fits-all promotions, you can tailor your offers based on who will truly appreciate and respond to them. It’s like giving each customer the VIP treatment they actually deserve. By integrating these predictions into SQL Server, you can seamlessly blend them into your current workflows, making it easier to act on insights and see tangible results.

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