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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 Google Cloud SQL (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've just started using Faraday to predict which of your newest customers will turn into MVPs, and you also use Google Cloud SQL (Postgres) for your data needs. Keeping your best customer prediction data in Google Cloud SQL (Postgres) makes everything easier and more streamlined. You can directly integrate these valuable insights into your existing workflows without having to juggle multiple tools or transfer data between platforms. It provides a seamless way to maintain and access the predictions right where you're already comfortable working, helping you make decisions efficiently and focus on delivering that red carpet experience to your standout customers.
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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