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Rep assignment

Assign each lead or customer to the rep that will handle them best — using Azure SQL

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

Azure SQL logoIf you're using Azure SQL and are a fan of making data-driven decisions, Faraday's Rep assignment predictions could be quite handy for you. Imagine being able to match each lead or customer with the rep best suited to engage them, right within your Azure SQL environment. This can streamline your workflow, ensuring your sales team is operating optimally without juggling multiple platforms. Plus, having everything in one place can make tracking, updating, and analyzing your data more straightforward. It's a practical way to leverage your existing tools and data to enhance your customer engagement strategy.
  1. Step 1

    Connect your data sources

    Use the link below to connect Azure SQL 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 Azure SQL

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

    Deploy to Azure SQL

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