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Personalization
Channel prescription
Reach each target using the channel that's best for them — using Poplar
You’ll need a Faraday account to use this template. It’s free to sign up and you can use sample data to start.
Hey there! If you're someone who enjoys using both Faraday and Poplar, you might find Channel prescription predictions really handy. Essentially, this feature helps you figure out which communication channels—like email, social media, or direct mail—are most effective for reaching each of your targets. It's about making your outreach more personalized and efficient. So, if you're looking to improve how you communicate with your customers and want to see better engagement, integrating Channel prescription in Poplar could be a useful step. Give it a try and see how it fits into your workflow.
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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