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.

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If you're using Databricks Delta Sharing and are curious about which customers are likely to make another purchase, integrating Faraday's repeat purchase readiness predictions could be a great move. It offers you a straightforward way to identify which of your existing customers might be ready to buy again, making it easier to tailor your marketing or sales efforts accordingly. This feature can be especially useful if you're already working within Databricks, as it allows for seamless data sharing and analysis. It's a practical tool to better understand your customers and make thoughtful decisions on how to engage them, without any need for additional complex systems.

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