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 using Google Ads to bring in leads, you might find that getting those potential customers to the right team member is key for turning interest into sales. That's where Faraday's Rep assignment predictions come in handy. By integrating these predictions, you can assign leads to the sales rep most likely to connect with them effectively, boosting engagement and making your Google Ads investments more efficient. It's a subtle tweak that could help improve communication and conversion rates, turning more of those clicks into meaningful customer interactions.

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