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Personalization
Channel prescription
Reach each target using the channel that's best for them — using 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.
If you're a Faraday user who also relies on Postgres, incorporating Channel prescription predictions directly into your database can be a game-changer. Imagine having the insights on which channels your customers respond to best, right there within the same system you're already comfortable using. It keeps everything seamless and easy to manage, saving you the hassle of juggling between multiple platforms. By having these predictions in Postgres, you can quickly cross-reference and analyze customer behavior in one unified place, making your workflow smoother and more efficient. Plus, it allows for more streamlined, data-driven decisions when planning your marketing strategies. It's a practical way to make the most of both Faraday’s predictive power and Postgres’ robust platform.
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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