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Personalization
Thematic personalization
Shape your creative and message to appeal to each target — using 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 using SQL Server and working with consumer data, you might find Faraday's Thematic personalization predictions really useful. Essentially, these predictions can help you shape your creative content and messaging so that it resonates more with your target audience. By integrating these insights into SQL Server, you can seamlessly analyze and act on the data right where you store it. This way, you get to deliver more relevant and appealing messages to your customers without the hassle of juggling multiple tools. It's a practical step to making your marketing efforts more personalized and effective.
- Step 1
Connect your data sources
Use the link below to connect 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 SQL Server
Finally, deploy your prediction with the link below. - Step 6
Deploy to SQL Server
Create a deployment target using the 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
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