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Customer targeting
Best customer detection
Know up front which new customers will be best so you can roll out the red carpet — 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.
Imagine you're working hard to identify which of your newest customers are going to be the real MVPs. This is where Faraday's Best Customer Detection predictions come in handy, and having those insights right in Postgres makes life a lot easier. If you're already comfortable using Postgres to manage and query your data, integrating these predictions directly can streamline your workflow. It allows you to quickly see who you should prioritize without reinventing the wheel. Seamlessly blending predictive insights with your existing database can help you focus on rolling out that red carpet to the right folks, all within the tools you already know and trust.
Deploy your best customer detection 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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