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 both Faraday and GCS, integrating Adaptive discounting predictions can be a smart move. It helps you figure out how significant a promotion each of your customers deserves. By offering the best deals to those who value them most, you can make your marketing efforts more efficient and effective. You'll have a clearer understanding of customer worth, enabling you to tailor promotions that resonate. It's a straightforward way to make the most of your data and keep your customers happy, without overcomplicating things.

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