Rep assignment - Faraday

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

Faraday users who also rely on Aurora (MySQL) might find Rep assignment predictions particularly useful for a more tailored approach to customer engagement. By leveraging these predictions, you can ensure that each lead or customer is matched with the sales rep most likely to connect with them effectively. This can improve the overall efficiency and effectiveness of your sales team without needing to overhaul your existing Aurora infrastructure. Integrating Faraday's predictive insights directly into your MySQL database can make it easier to personalize interactions, ultimately helping to build stronger customer relationships. It's a straightforward way to add a layer of intelligence to your existing data systems, making the most of what you already have.

Step 1
Connect your data sources
Use the link below to connect Aurora (MySQL) to Faraday. You can also skip this step and use CSV files to get started instead.
Aurora (MySQL)
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.
Transaction Signup
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.
Leads
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.
Rep assignment
Step 5
Define your rep assignment pipeline and deploy to Aurora (MySQL)
Finally, deploy your prediction with the link below.
Rep assignment
Step 6
Deploy to Aurora (MySQL)
Create a deployment target using the Aurora (MySQL) connection you created above. Or, get started by simply deploying to CSV.
Aurora (MySQL)