Customer targeting

Churn scoring

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

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 uses Shopify, integrating Churn scoring predictions could be a game-changer for your business. Imagine having the ability to identify which of your customers are most likely to leave you before it actually happens. That's where Churn scoring comes in. By adding this to your Shopify store, you can get ahead of potential customer losses and take proactive steps to keep them engaged. Whether it’s offering a special discount, personalized service, or just checking in, these small actions can make a big difference in retaining your valuable customers. It’s a practical way to use your data more effectively, helping you build stronger relationships with your customers right where you manage your store.

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