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

As a Faraday user, you might be curious about how to tailor promotions to different customers to get the most out of your marketing efforts. Adaptive discounting predictions can help you figure out just the right promotion to offer various customer segments, so you're not just throwing discounts around randomly. If you're also using motherduck, you can combine the strengths of both platforms to manage and analyze your data efficiently, ensuring that your promotional strategies are as effective as possible. It’s about working smarter, not harder, to give your customers the best offers they truly deserve, without overextending your promotional budget.

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