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Rep assignment

Assign each lead or customer to the rep that will handle them best — 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 tapping into predicting customer behavior, you might be wondering how to take full advantage of these insights when managing your sales team. That's where rep assignment predictions come in handy, helping you assign the right sales rep to each lead or customer to foster better engagement. Using Motherduck, known for its simplicity and efficiency, you can effortlessly integrate these predictions into your workflow. It's not about making a dramatic transformation overnight, but rather about gradually enhancing your approach to customer engagement by pairing each customer with the rep most likely to connect with them effectively. By combining the strengths of Faraday with the ease of use that Motherduck offers, you can subtly but steadily optimize your sales processes.
  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. 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 rep assignment 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.