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Personalization
Thematic personalization
Shape your creative and message to appeal to each target — using The Trade Desk
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 on The Trade Desk, integrating Thematic personalization predictions can make your job a whole lot easier. It helps you tailor your creative and messaging to suit the tastes and preferences of each target audience, which can really enhance the effectiveness of your campaigns. When you know what kind of message will resonate best, you can deliver more relevant ads that feel personalized and meaningful to your audience. It's all about making sure your efforts don’t go unnoticed and that your ads are hitting the right notes with the right people.
- Step 1
Connect your data sources
Use the link below to connect The Trade Desk 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 The Trade Desk
Finally, deploy your prediction with the link below. - Step 6
Deploy to The Trade Desk
Create a deployment target using the The Trade Desk 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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