Customer targeting

Churn scoring

Know which customers are ready to churn while there's still time to save them — using S3

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 utilizes S3, there are some clear benefits to having your Churn scoring predictions right there. By integrating churn data into your S3 workflows, you can easily access and act on insights about which customers are at risk of leaving. This can help streamline your intervention strategies, making it easier to run targeted retention campaigns directly from your data storage. Plus, having everything in one place means you spend less time switching between tools and more time focusing on what really matters—keeping your customers happy.

Step 1
Connect your data sources
Use the link below to connect S3 to Faraday. You can also skip this step and use CSV files to get started instead.
S3
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 S3
Finally, deploy your prediction with the link below.
Churn scoring
Step 6
Deploy to S3
Create a deployment target using the S3 connection you created above. Or, get started by simply deploying to CSV.
S3