Personalization

Adaptive discounting

Offer your best promos to the customers who most deserve it — using RDS (Postgres)

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 and also work with RDS (Postgres), using Adaptive discounting predictions in your database can make your job a lot smoother. Imagine you're trying to figure out which customers deserve your best promotions. By integrating these predictions directly into RDS, you save time and reduce the hassle of transferring data between different platforms. It keeps everything in one place, making it easier to analyze and act on your promotional strategies. Plus, having these insights right in your database means you can make more informed decisions on the fly, without jumping through extra hoops.

Step 1
Connect your data sources
Use the link below to connect RDS (Postgres) to Faraday. You can also skip this step and use CSV files to get started instead.
RDS (Postgres)
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 RDS (Postgres)
Finally, deploy your prediction with the link below.
Adaptive discounting
Step 6
Deploy to RDS (Postgres)
Create a deployment target using the RDS (Postgres) connection you created above. Or, get started by simply deploying to CSV.
RDS (Postgres)