Rep assignment - Faraday

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.

Get started for free

If you're using ClickHouse and you're interested in improving your customer interactions, Faraday's Rep assignment predictions could be a great fit. Imagine effortlessly identifying which of your reps is best suited to engage with each lead or customer. By integrating these predictions directly into ClickHouse, you can seamlessly combine your data processing power with Faraday's insights. This makes it easier for your team to understand and act on the predictions, ultimately helping to build better customer relationships. It's a simple way to enhance your existing analytic capabilities without complicating your workflow.

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