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 already a fan of using Faraday to predict customer behavior and happen to be working with Google Cloud Storage (GCS), you might find our Repeat Purchase Readiness predictions super handy. Essentially, it helps you figure out which of your customers are most likely to make another purchase soon. Having this prediction integrated with GCS means you can seamlessly access and leverage your customer data stored in the cloud. It’s like a gentle nudge to help you better manage your marketing efforts and deepen customer relationships. Give it a try, and see how it might streamline your workflow a bit.

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.
GCS
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 GCS
Finally, deploy your prediction with the link below.
Repeat purchase scoring
Step 6
Deploy to GCS
Create a deployment target using the GCS connection you created above. Or, get started by simply deploying to CSV.
GCS