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Repeat purchase scoring with BigQuery
Predict the likelihood that a new customer will buy again.
First, get a free Faraday account
Connect to your BigQuery account
Use this button to connect your accounts to Faraday. You can also skip this step and use CSV files to get started instead.
Ingest your data into event streams
This allows Faraday to understand what your data means. Each of these buttons will guide you through ingesting the data necessary to power this recipe.
Organize your customer data into groups
These groups, called cohorts, are the essential building blocks of Faraday and allow you to easily predict any customer behavior.
Declare your prediction objectives
With your cohorts defined, it's easy to instruct Faraday to predict the necessary behaviors. Follow the docs with the button below.
Define your repeat purchase scoring pipeline and deploy to BigQuery
Finally, deploy your prediction with the button below.
Using BigQuery
This guide is written assuming you will deploy predictions to CSV files. When creating your Deployment, simply choose BigQuery rather than Hosted CSV.