Repeat purchase readiness

You will need a Faraday account to use this template. It is free to sign up and you will just need some sample data to start.

Get started for free

If you're a Faraday user who's also exploring the world of MotherDuck, incorporating repeat purchase readiness predictions can be a smooth move. Imagine having a gentle nudge that helps you see which of your customers might be thinking about buying again. By bringing these insights into MotherDuck, you get to blend predictive smarts with a lightweight, easy-to-use data tool. It's a simple way to keep tabs on customer loyalty and better tailor your outreach, right where you manage your data. There's no need for big promises—just practical, down-to-earth insights to help boost your customer relationships.

Step 1
Connect your data sources
Use the link below to connect MotherDuck to Faraday. You can also skip this step and use CSV files to get started instead.
MotherDuck
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 MotherDuck
Finally, deploy your prediction with the link below.
Repeat purchase scoring
Step 6
Deploy to MotherDuck
Create a deployment target using the MotherDuck connection you created above. Or, get started by simply deploying to CSV.
MotherDuck