Customer targeting

Churn scoring

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

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.

Get started for free

If you're using Athena alongside Faraday, adding Churn scoring predictions could be a smooth move for your toolkit. Imagine having the ability to anticipate which customers might slip away before it happens. This gives you a chance to proactively engage and potentially retain them, all with minimal fuss. It's a practical way to enhance your understanding of customer behavior and make more informed decisions. Faraday's Churn scoring integrates neatly, adding a layer of insight that complements your existing data processes. It's about quietly enhancing your workflow, offering a helpful nudge in the right direction.

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