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Personalization
Thematic personalization
Shape your creative and message to appeal to each target — using Segment
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 being able to tailor your marketing messages and creative content so they resonate deeply with each segment of your audience. That's the essence of Thematic personalization predictions from Faraday, and it's now available in Segment. By integrating these predictions into your Segment workflow, you can better understand what kind of messages will engage different customer groups, leading to more effective and personalized marketing efforts. It's a straightforward way to enhance your campaigns without needing to dive into complex data analyses. Give it a try and see how a little personalization can go a long way.
- Step 1
Connect your data sources
Use the link below to connect Segment 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 Segment
Finally, deploy your prediction with the link below. - Step 6
Deploy to Segment
Create a deployment target using the Segment 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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