Customer targeting

Churn scoring

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

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 already using Recharge for your subscription services and wondering which of your customers might be drifting away, Faraday's churn scoring predictions could be a handy tool for you. These insights can help you identify which subscribers are at risk of churning before it's too late. By integrating Faraday's churn scoring with Recharge, you can get a clearer picture of your customer retention landscape and take steps to engage those individuals more effectively. It's all about giving you a bit more foresight, so you can make informed decisions and possibly retain more customers over time.

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