Repeat purchase readiness

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 using Google Cloud SQL (SQL Server) for managing your customer data, integrating Faraday's Repeat Purchase Readiness predictions can be a smooth and beneficial move. With these predictions, you can easily identify which of your customers are most likely ready to make another purchase, directly in your existing database setup. This means you can make smarter marketing decisions and target your campaigns more effectively without having to juggle between different tools. It keeps everything streamlined and lets you get the most out of both your data and your marketing efforts, all within the familiar environment of Google Cloud SQL.

Step 1
Connect your data sources
Use the link below to connect Google Cloud SQL (SQL Server) to Faraday. You can also skip this step and use CSV files to get started instead.
Google Cloud SQL (SQL Server)
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.
One-time purchasers Repeat purchasers 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.
Likelihood to buy again
Step 5
Define your repeat purchase scoring pipeline and deploy to Google Cloud SQL (SQL Server)
Finally, deploy your prediction with the link below.
Repeat purchase scoring
Step 6
Deploy to Google Cloud SQL (SQL Server)
Create a deployment target using the Google Cloud SQL (SQL Server) connection you created above. Or, get started by simply deploying to CSV.
Google Cloud SQL (SQL Server)