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.

If you're already using Snowflake's powerful data platform, integrating Faraday's Rep assignment predictions could be a natural next step to boost your team's performance. By harnessing Snowflake's robust data handling capabilities, you can seamlessly deploy Faraday's AI-driven insights to match each lead or customer with the most suitable rep. This means more meaningful interactions and potentially better outcomes for your brand. It's all about working smarter, not harder, and utilizing the best tools at your disposal to make data-driven decisions. Plus, keeping everything within your Snowflake environment ensures a smooth workflow without extra hassle.

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