All templates
Personalization
Thematic personalization
Shape your creative and message to appeal to each target — using RDS (SQL Server)
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's also working with RDS (SQL Server), you might find real value in integrating Thematic personalization predictions directly into your database. Imagine having the ability to shape your creative and messaging specifically for each target right where your data lives. It could simplify your workflow and make it easier to tailor your marketing efforts without constantly toggling between different tools. Plus, leveraging SQL Server's robust capabilities alongside Faraday's insights could give you a more seamless, streamlined approach to understanding and engaging your customers in a way that feels personal and relevant to them.
- Step 1
Connect your data sources
Use the link below to connect RDS (SQL Server) to Faraday. You can also skip this step and use CSV files to get started instead. - Step 2
Ingest your data into event streams
This allows Faraday to understand what your data means. This link will guide you through ingesting the data necessary to power this template. - Step 3
Organize your customer data
You'll create groups, called cohorts, that are the essential building blocks of Faraday and allow you to easily predict any customer behavior. - Step 4
Declare your prediction objectives
With your cohorts defined, it's easy to instruct Faraday to predict the necessary behaviors. Follow the docs with the link below. - Step 5
Define your content personalization pipeline and deploy to RDS (SQL Server)
Finally, deploy your prediction with the link below. - Step 6
Deploy to RDS (SQL Server)
Create a deployment target using the RDS (SQL Server) connection you created above. Or, get started by simply deploying to CSV.
Deploy your thematic personalization 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
Ready for easy AI?
Skip the ML struggle and focus on your downstream application. We have built-in sample data so you can get started without sharing yours.