Personalization

Adaptive discounting

Offer your best promos to the customers who most deserve it — using Redshift Serverless

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 both Faraday and Redshift Serverless, integrating Adaptive discounting predictions can really help you streamline your promotional offers. With Adaptive discounting, you get a clear idea of which customers should receive your best deals and how significant those promotions should be. Redshift Serverless makes it easy to handle large datasets and perform complex queries without worrying about infrastructure. By combining these tools, you can efficiently analyze customer behavior and tailor your promotions to maximize impact, all within a scalable and hassle-free environment. It’s a practical way to get the most out of your marketing efforts without adding extra complexity to your workflow.

Step 1
Connect your data sources
Use the link below to connect Redshift Serverless to Faraday. You can also skip this step and use CSV files to get started instead.
Redshift Serverless
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.
Transaction
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.
Customers
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.
Forecasted spend
Step 5
Define your adaptive discounting pipeline and deploy to Redshift Serverless
Finally, deploy your prediction with the link below.
Adaptive discounting
Step 6
Deploy to Redshift Serverless
Create a deployment target using the Redshift Serverless connection you created above. Or, get started by simply deploying to CSV.
Redshift Serverless