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Personalization

Adaptive discounting

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

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

GCS logoIf 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.
  1. 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.
  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 GCS

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

    Deploy to GCS

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