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.

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If you're a Faraday user who also uses Athena, you might find value in integrating Adaptive discounting predictions. Think of it as a smarter way to make the most of your promotional efforts. With Adaptive discounting, you can better align your offers with what each customer is genuinely worth to your brand. It's like having a thoughtful guide that helps you decide which customers get the best promos, ensuring that your marketing budget is used where it really counts. It’s not about splurging; it’s about being savvy and considerate with your resources, all within the Athena platform you already know.

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