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.

Sure thing! If you're a Faraday user who also works with RDS (SQL Server), having Repeat purchase readiness predictions in your database can be a real boost. It lets you directly integrate powerful insights into your existing workflows without having to juggle multiple systems. By knowing which of your customers are most likely to buy again, you can tailor your marketing efforts and inventory forecasts more accurately. Plus, having these predictions in RDS means you can run custom queries and reports that fit right into your usual routine. It's not about transforming everything overnight, but making your data work a bit smarter for you.

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