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 using Faraday and happen to work with Motherduck, you might find Adaptive Discounting predictions to be a neat feature to explore. It's all about figuring out just how much of a discount to offer your different customers. The ultimate goal is to send your best promotions to the people who really deserve them, effectively maximizing the impact of your marketing spend. By leveraging this predictive capability in Motherduck, you can smoothly integrate these insights into your existing systems, helping you make more informed decisions right within the tools you're already familiar with. The idea is to keep things simple and efficient, without a lot of extra fuss.

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