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Personalization
Thematic personalization
Shape your creative and message to appeal to each target — using Google Ads
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 running Google Ads and want to really connect with your audience, Thematic Personalization predictions from Faraday could be a great asset. They help you craft messages and creative content that resonate specifically with different segments of your target market. By understanding what appeals most to various groups, you can tailor your ads to better capture their attention and interest. It’s a thoughtful way to make sure your advertising feels more relevant and engaging for everyone who sees it. This approach can help improve the performance of your campaigns without requiring a complete overhaul of your strategy.
- Step 1
Connect your data sources
Use the link below to connect Google Ads 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 Google Ads
Finally, deploy your prediction with the link below. - Step 6
Deploy to Google Ads
Create a deployment target using the Google Ads 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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