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Personalization

Thematic personalization

Shape your creative and message to appeal to each target — using MotherDuck

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.

MotherDuck logoIf you're a Faraday user already exploring customer predictions, you might find it interesting to integrate thematic personalization into your work with Motherduck. By leveraging this type of prediction, you can tailor your creative and messaging to resonate more deeply with each target audience group. It offers a way to understand what different segments of your audience might find engaging, helping make your outreach efforts a bit more spot-on without the need for guesswork. As a result, campaigns could feel more relevant, ultimately enhancing how you connect with potential customers. And since Motherduck is where you're managing your data, it makes sense to bring these insights right onto that platform, keeping everything in sync without unnecessary complications.
  1. Step 1

    Connect your data sources

    Use the link below to connect MotherDuck 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 content personalization pipeline and deploy to MotherDuck

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

    Deploy to MotherDuck

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