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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 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, integrating Best Customer Detection predictions into your database can make life a lot easier. Imagine having a clear picture of which new customers are likely to become your MVPs right from the start. By having this data directly in MySQL, you can seamlessly join it with other customer information, making it super simple to tailor your marketing efforts or customer service strategies accordingly. No need to juggle multiple platforms or perform manual data entries. This way, you can spend less time on data wrangling and more time focusing on what really matters—delivering great value to your future top 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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