Customer targeting

Churn scoring

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

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 LinkedIn Ads and worried about losing valuable customers, Faraday's churn scoring predictions can be a really helpful tool. By understanding which customers are most at risk of churning, you can target your ad campaigns more effectively. Instead of casting a wide net, you can focus your efforts on re-engaging those who are more likely to leave, giving you a better chance at retaining them. It's a thoughtful way to use your advertising budget and keep the relationships you've worked hard to build.

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