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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 AWS Aurora 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 running a consumer brand and you're already using AWS Aurora Postgres to manage your customer data. Faraday's Best Customer Detection predictions can fit right into your existing setup. By integrating these predictions with your Aurora Postgres database, you can easily identify which of your new customers are likely to become your most valuable ones. This means you can tailor your marketing and engagement efforts directly within your existing system. It's a straightforward way to make your data work harder for you without needing to overhaul your current infrastructure. Simple enhancements like this can often lead to more effective customer engagement and improved overall performance.
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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