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Personalization
Channel prescription
Reach each target using the channel that's best for them — using AWS Aurora 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 leveraging AWS Aurora Postgres, integrating Channel prescription predictions can be a thoughtful way to enhance your marketing strategy. Essentially, it helps you figure out which communication channels—like email, social media, or direct mail—each of your targets is most likely to respond to. This means you can tailor your outreach efforts more precisely, possibly leading to better engagement with your audience. Plus, having these insights right within AWS Aurora Postgres allows for smoother data management and analysis, making your workflows more efficient. It’s a practical, data-driven approach to connect with your customers in the way that suits them best.
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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