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Customer targeting

Churn scoring

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

You’ll need a Faraday account to use this template. It’s free to sign up and you can use sample data to start.

HubSpot logoIf you're already using HubSpot to manage your customer relationships, integrating Faraday's churn scoring predictions can really make a difference. It allows you to identify which of your customers are most at risk of leaving before it's too late. Having this insight right within HubSpot means you can take quick, targeted actions to engage those customers and improve their experience. It's a simple way to enhance your existing tools without changing your workflow, making it easier to keep your customers happy and loyal.
  1. Step 1

    Connect your data sources

    Use the link below to connect HubSpot to Faraday. You can also skip this step and use CSV files to get started instead.
  2. 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.
  3. 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.
  4. 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.
  5. Step 5

    Define your churn scoring pipeline and deploy to HubSpot

    Finally, deploy your prediction with the link below.
  6. Step 6

    Deploy to HubSpot

    Create a deployment target using the HubSpot connection you created above. Or, get started by simply deploying to CSV.