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Rep assignment
Assign each lead or customer to the rep that will handle them best — using Azure SQL
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 Azure SQL and are a fan of making data-driven decisions, Faraday's Rep assignment predictions could be quite handy for you. Imagine being able to match each lead or customer with the rep best suited to engage them, right within your Azure SQL environment. This can streamline your workflow, ensuring your sales team is operating optimally without juggling multiple platforms. Plus, having everything in one place can make tracking, updating, and analyzing your data more straightforward. It's a practical way to leverage your existing tools and data to enhance your customer engagement strategy.
- Step 1
Connect your data sources
Use the link below to connect Azure SQL 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 Azure SQL
Finally, deploy your prediction with the link below. - Step 6
Deploy to Azure SQL
Create a deployment target using the Azure SQL 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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