Customer targeting

Churn scoring

Know which customers are ready to churn while there's still time to save them — using Google 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 already using Faraday to predict customer behavior and also run campaigns on Google Ads, incorporating churn scoring predictions might be a game-changer for you. By knowing which customers are at risk of leaving, you can tailor your Google Ads campaigns to specifically target these individuals with personalized offers or messages designed to keep them engaged. It’s a straightforward way to make your advertising spend more efficient, focusing your efforts where they have the best chance to make a difference. It’s all about making smarter decisions to keep more of your customers happy and loyal, without too much extra effort on your part.

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