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Personalization
Rep assignment
Assign each lead or customer to the rep that will handle them best — using Facebook Custom Audiences
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 Facebook Custom Audiences to reach your potential customers, integrating Faraday's Rep assignment predictions can be a real game-changer for your marketing strategy. By knowing which of your sales reps can engage each lead or customer most effectively, you can tailor your outreach in a way that feels much more personal and relevant. Imagine connecting each lead with the rep they're most likely to respond to, right within your Facebook campaigns. It’s a simple step to help boost engagement and build stronger relationships, making your marketing efforts more efficient without any extra work.
- Step 1
Connect your data sources
Use the link below to connect Facebook Custom Audiences to Faraday. You can also skip this step and use CSV files to get started instead. - 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. - 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. - 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. - Step 5
Define your rep assignment pipeline and deploy to Facebook Custom Audiences
Finally, deploy your prediction with the link below. - Step 6
Deploy to Facebook Custom Audiences
Create a deployment target using the Facebook Custom Audiences connection you created above. Or, get started by simply deploying to CSV.
Deploy your rep assignment predictions to . . .
Aurora (MySQL)
AWS Aurora Postgres
Azure SQL
BigQuery
Facebook Custom Audiences
GCS
Google Ads
Google Cloud SQL (MySQL)
Google Cloud SQL (Postgres)
Google Cloud SQL (SQL Server)
HubSpot
Iterable
Klaviyo
LinkedIn Ads
MySQL
Pinterest Ads
Poplar
Postgres
RDS (MySQL)
RDS (Postgres)
RDS (SQL Server)
Recharge
Redshift
Redshift Serverless
S3
Salesforce
Salesforce Marketing Cloud
Segment
SFTP
Shopify
Snowflake
SQL Server
Stripe
The Trade Desk
TikTok
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