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Personalization
Channel prescription
Reach each target using the channel that's best for them — using 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 MySQL, you might find integrating Channel prescription predictions into your database really handy. Imagine you have a list of customers and you’re trying to figure out the best way to reach out to each person. By pulling in Faraday's Channel prescription data directly into MySQL, you can easily see which channels—like email, social media, or direct mail—are most likely to engage each customer. This can save you lots of time and help you tailor your outreach more effectively. Plus, keeping everything in your familiar MySQL environment means you can seamlessly incorporate these insights into your existing workflows and reports. It’s a pretty straightforward way to make your customer interactions more targeted and efficient.
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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