Customer targeting

Churn scoring

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

You’ll need a Faraday account to use this template. It’s free to sign up and you can use sample data to start.

Churn scoring predictions can be a real game-changer for Faraday users who also use Stripe. By integrating churn scoring with Stripe, you get a clear picture of which customers are most likely to stop using your service. This lets you take proactive steps to re-engage them before they decide to leave. It's like having a heads-up on potential customer drop-offs, enabling you to tailor your outreach and offers to keep them onboard. It’s a practical way to keep your customer base stable and even foster loyalty, all while making the most of the data you're already collecting through Stripe.

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