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Channel prescription
Reach each target using the channel that's best for them — using RDS (Postgres)
You’ll need a Faraday account to use this template. It’s free to sign up and you can use sample data to start.
Imagine you're a data scientist or engineer at a consumer brand, and you're already managing your data in RDS (Postgres). You know that reaching your customers through the right channels—like email, social media, or direct mail—can make a big difference. This is where Faraday's Channel prescription predictions come in handy. By integrating these predictions with your existing Postgres database, you can easily determine the best channel for each target without switching tools or disrupting your workflow. It can help streamline your marketing efforts and potentially improve your response rates. It's a practical way to make the most out of the data you already have and the systems you already use.
Deploy your channel prescription 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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