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Rep assignment
Assign each lead or customer to the rep that will handle them best — using HubSpot
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 both Faraday and HubSpot, integrating Rep assignment predictions can really streamline your workflow. Imagine automatically matching each lead with the rep most likely to engage them effectively, right within the tools you're already using. It can help you make the most of your team's strengths without any extra hassle. This way, your reps spend more time connecting with leads and customers they'll connect best with, potentially leading to stronger relationships and smoother processes. It's a simple step that might make your day-to-day operations just a bit more efficient and effective.
- Step 1
Connect your data sources
Use the link below to connect HubSpot 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 HubSpot
Finally, deploy your prediction with the link below. - Step 6
Deploy to HubSpot
Create a deployment target using the HubSpot 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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