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.

Sure thing. Imagine you're juggling lots of different promotions and wondering which ones to offer to which customers. That's where Faraday's Adaptive discounting comes in handy. With this prediction, you can figure out how much of a discount each customer should get, based on their behavior and potential value. If you're already using Amazon S3, it gets even easier. Store your predictions there, and you can access and manage them seamlessly alongside all your other data. It's a straightforward way to make sure your promotions are as effective as they can be, without overthinking it. Great for making data-driven decisions on the fly.

Step 1
Connect your data sources
Use the link below to connect S3 to Faraday. You can also skip this step and use CSV files to get started instead.
S3
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 S3
Finally, deploy your prediction with the link below.
Adaptive discounting
Step 6
Deploy to S3
Create a deployment target using the S3 connection you created above. Or, get started by simply deploying to CSV.
S3