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Personalization
Rep assignment
Assign each lead or customer to the rep that will handle them best — using TikTok
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 navigating the bustling world of TikTok marketing, you know how crucial it is to connect with your audience in just the right way. Faraday's Rep assignment predictions can be a real game-changer for this. Imagine knowing exactly which of your team members has the best shot at engaging each TikTok user based on their unique preferences and behaviors. It takes the guesswork out of distributing leads, helping you to maximize engagement without stretching your resources thin. It's a straightforward way to boost your team's efficiency and make your marketing efforts more personal and effective.
- Step 1
Connect your data sources
Use the link below to connect TikTok 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 TikTok
Finally, deploy your prediction with the link below. - Step 6
Deploy to TikTok
Create a deployment target using the TikTok 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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