Customer targeting

Churn scoring

Know which customers are ready to churn while there's still time to save them — using RDS (MySQL)

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 and you're already using RDS (MySQL), integrating churn scoring predictions could be a smart move for you. Imagine having the ability to pinpoint which of your customers are most at risk of leaving, all within a database you're already comfortable with. This way, you can take proactive steps to engage and retain them. By having this valuable data right where you manage everything else, it’ll be easier for you to incorporate insights into your existing workflows and make informed decisions without having to switch tools. It's about making your data work for you, seamlessly and efficiently.

Step 1
Connect your data sources
Use the link below to connect RDS (MySQL) to Faraday. You can also skip this step and use CSV files to get started instead.
RDS (MySQL)
Step 2
Ingest your data into event streams
This allows Faraday to understand what your data means. These links will guide you through ingesting the data necessary to power this template.
Transaction Cancellation
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.
Customers Churned 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 churn
Step 5
Define your churn scoring pipeline and deploy to RDS (MySQL)
Finally, deploy your prediction with the link below.
Churn scoring
Step 6
Deploy to RDS (MySQL)
Create a deployment target using the RDS (MySQL) connection you created above. Or, get started by simply deploying to CSV.
RDS (MySQL)