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Personalization
Adaptive discounting
Offer your best promos to the customers who most deserve it — 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 already using The Trade Desk to manage your advertising campaigns, integrating Faraday's adaptive discounting predictions can add a layer of precision to your strategy. These predictions help you figure out exactly how much of a promotion each potential customer is worth, ensuring you offer your best deals to those who are most likely to appreciate and act on them. This can make your ad spend more efficient by targeting the right audience with the right promos, ultimately improving your campaign's effectiveness without any extra hassle. It's a straightforward way to make your marketing efforts a bit smarter and more effective.
- 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 adaptive discounting 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 adaptive discounting 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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