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Rep assignment
Assign each lead or customer to the rep that will handle them best — using RDS (SQL Server)
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 RDS (SQL Server) and looking to make the most of your sales team's efforts, Faraday's Rep assignment predictions can be a great addition. By seamlessly integrating these predictions into your existing RDS setup, you can more effectively assign leads and customers to the sales reps who are most likely to engage them. It's a practical way to leverage your data to improve customer interactions without overhauling your current system. Using Rep assignment predictions in RDS can help you take advantage of insights you already have, making your team more efficient and helping you build better relationships with your customers.
- Step 1
Connect your data sources
Use the link below to connect RDS (SQL Server) 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 RDS (SQL Server)
Finally, deploy your prediction with the link below. - Step 6
Deploy to RDS (SQL Server)
Create a deployment target using the RDS (SQL Server) 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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