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Personalization

Adaptive discounting

Offer your best promos to the customers who most deserve it — using Poplar

You’ll need a Faraday account to use this template. It’s free to sign up and you can use sample data to start.

Poplar logoIf 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?
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Step 5

    Define your adaptive discounting pipeline and deploy to Poplar

    Finally, deploy your prediction with the link below.
  6. Step 6

    Deploy to Poplar

    Create a deployment target using the Poplar connection you created above. Or, get started by simply deploying to CSV.