Adaptive discounting

You will need a Faraday account to use this template. It is free to sign up and you will just need some sample data to start.

Get started for free

Sure thing! If you're a Faraday user already familiar with making data-driven decisions, integrating Adaptive discounting predictions into Athena might be a smart move. Imagine being able to seamlessly combine Faraday's insights with Athena's tools to figure out exactly how much of a promotion each customer should get. It's like having a tailored strategy that helps you maximize your promotions efficiently. The goal isn’t just to save money or increase sales, but to treat each customer uniquely and thoughtfully. It's a gentle way to fine-tune your promotions based on solid predictions.

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