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Personalization
Channel prescription
Reach each target using the channel that's best for them — using RDS (MySQL)
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 works with RDS (MySQL), incorporating Channel prescription predictions into your setup can be pretty useful. Imagine being able to reach your customers through the channels they prefer, whether it's email, social media, or something else. By storing these predictions in RDS, you can easily access and integrate them into your existing workflows and applications. This can help streamline your marketing efforts and ensure your messages are getting to the right people through the right channels. Overall, it’s a neat way to make your customer interactions more effective and personalized without too much extra hassle.
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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