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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 logoFor Faraday users who are also using Motherduck, integrating Thematic personalization predictions can add a subtle, yet impactful layer to their customer engagement strategies. By understanding which messages and creative elements resonate most with different target segments, brands can refine their communication to be more relevant and personal. This isn't about making grand changes but rather small tweaks that acknowledge the diverse interests and preferences of the audience. In Motherduck, these predictions can seamlessly fit into existing workflows, providing insights that allow for improved targeting and a smoother alignment with overall marketing strategies. It's a straightforward way to make communications a bit more thoughtful and effective.
  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.