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 a Faraday user who also works with Redshift, integrating Repeat Purchase Readiness predictions could be a real game-changer for you. By having these predictions directly within your Redshift environment, you can seamlessly blend them into your existing data workflows. This makes it much easier to identify which of your customers are most likely to buy again without having to juggle between different tools. It’s a straightforward way to enhance your marketing efforts and optimize your customer outreach. Plus, because everything's in one place, your team can spend less time on data logistics and more time on strategy and execution.

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