Customer targeting

Churn scoring

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

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 The Trade Desk, incorporating Churn scoring predictions could be a game-changer for your marketing strategy. Imagine knowing which of your customers are most at risk of leaving before it's too late. By integrating these insights into The Trade Desk, you can tailor your ad campaigns to re-engage those specific customers more effectively. You'd be able to allocate your ad spend wisely, focusing on retaining existing customers rather than constantly chasing new ones. It’s a straightforward way to make your marketing efforts more efficient and keep your customer base happy.

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