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Customer targeting

Repeat purchase readiness

Know which customers are ready to buy again — using Databricks Delta Sharing

You will need a Faraday account to use this template. It is free to sign up and you will just need some sample data to start.

Databricks Delta Sharing logoIf you're using Databricks Delta Sharing and working with Faraday, having repeat purchase readiness predictions handy can make your life a bit easier. Imagine being able to quickly identify which of your customers are most likely to come back for more, right within the platform you're already comfortable with. This integration means you can seamlessly incorporate these insights into your existing workflows, without needing to switch tools or do the data juggling act. It's a straightforward way to make your marketing and sales efforts just a little more targeted, helping you focus on those customers who are ready to make another purchase. It's not about doing something flashy; it's simply about having the right data at your fingertips when you need it.
  1. Step 1

    Connect your data sources

    Use the link below to connect Databricks Delta Sharing 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. This link 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 repeat purchase scoring pipeline and deploy to Databricks Delta Sharing

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

    Deploy to Databricks Delta Sharing

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