All templates
Personalization

Adaptive discounting

Offer your best promos to the customers who most deserve it — using Google Cloud SQL (MySQL)

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

Google Cloud SQL (MySQL) logoIf you're a Faraday user and also use Google Cloud SQL (MySQL), you might find Adaptive Discounting predictions invaluable for a few reasons. Imagine being able to efficiently and precisely determine how much of a discount each customer should receive, right from your existing database environment. By plugging these smart predictions into Google Cloud SQL (MySQL), you streamline the process of tailoring your promotions to the right audience, directly from the data you already manage. This integration can help you make data-driven decisions, ensuring that your most deserving customers get the best deals, without any unnecessary guesswork. It’s a simple way to enhance your promotional strategy using the tools you’re already comfortable with.
  1. Step 1

    Connect your data sources

    Use the link below to connect Google Cloud SQL (MySQL) 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 Google Cloud SQL (MySQL)

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

    Deploy to Google Cloud SQL (MySQL)

    Create a deployment target using the Google Cloud SQL (MySQL) connection you created above. Or, get started by simply deploying to CSV.