Customer targeting

Churn scoring

Know which customers are ready to churn while there's still time to save them — using Google Cloud SQL (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 using Google Cloud SQL (MySQL) alongside Faraday's tools, incorporating churn scoring predictions into your database can be a real game-changer. Imagine having a clear view of which customers are most likely to leave your service, all integrated neatly within your existing data infrastructure. This means you can quickly access valuable insights right where you manage the rest of your customer data. It simplifies your workflow and helps you act more swiftly to retain those at-risk customers. It's not about making drastic changes to how you work; it's about making your work more informed and efficient.

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