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 using Aurora (MySQL) and you want to get the most out of your promotional campaigns, Adaptive discounting predictions from Faraday could be a great addition. Imagine being able to tailor your discounts based on which customers are most likely to respond positively. By integrating these predictions into your Aurora database, you can efficiently track and manage customer interactions and promotional outcomes all in one place. This way, you can ensure that your best offers are going to the right people without any additional hassle. It's a straightforward and effective method to enhance your customer engagement and make your data work harder for you.

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