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 a Faraday user who also utilizes LinkedIn Ads, Rep assignment predictions can be a real game changer for your marketing strategies. By understanding which of your reps will most effectively engage with each target, you can tailor your LinkedIn Ads campaigns to match leads with the ideal reps right from the start. This means that when a lead responds to an ad, they're connected with a rep who’s most likely to nurture that relationship successfully. It's a simple way to make your ad spend work smarter, ensuring that your leads get the best possible first impression and ongoing support.

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