Customer targeting

Churn scoring

Know which customers are ready to churn while there's still time to save them — using Pinterest 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 a Faraday user who also advertises on Pinterest, integrating Churn scoring predictions into your Pinterest Ads strategy can quietly boost your marketing efforts. By knowing which of your customers are most at risk of churning, you can tailor your Pinterest Ads to specifically target these individuals with engaging content that encourages them to stay. It’s a straightforward way to make your ad spend more efficient and genuinely connect with those who might be considering moving on. It helps you address concerns proactively, giving you the chance to retain valuable customers in a subtle yet effective manner.

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