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Personalization
Thematic personalization
Shape your creative and message to appeal to each target — using LinkedIn 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 using LinkedIn Ads and want to make sure your message truly connects with your different audience segments, Thematic personalization predictions from Faraday could be a great fit for you. They help you understand what kind of messages and visuals will resonate with each specific target group. This means you can tailor your LinkedIn Ads more effectively and potentially see better engagement from the right people. It's a pretty straightforward way to make your ads feel more personal and relevant, without a lot of extra hassle.
- Step 1
Connect your data sources
Use the link below to connect LinkedIn 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 LinkedIn Ads
Finally, deploy your prediction with the link below. - Step 6
Deploy to LinkedIn Ads
Create a deployment target using the LinkedIn 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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