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 already working with Faraday to tap into customer insights, incorporating Adaptive Discounting predictions into Poplar could be a smart move. Imagine being able to tailor your promotions more effectively—offering just the right discount to each customer based on their purchasing behavior. This way, you can save on marketing costs and make every promo count. Adaptive Discounting helps you figure out which customers are worth a bigger discount and which ones might convert with a smaller incentive. It's about being efficient and thoughtful with your promotions, without overcomplicating things. Simple, right?

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