Adaptive discounting

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 Faraday and Segment, integrating Adaptive discounting predictions can bring even more value to your marketing efforts. With Adaptive discounting predictions, you can figure out which customers should receive your best promotions and tailor your offers accordingly. This helps you avoid wasting big discounts on those who don't need them while making sure your most deserving customers feel valued. It's a smart way to use your data from Segment to make your promotions more effective and personalized without overcomplicating your process. Overall, it's about making informed decisions to get the most from your marketing efforts.

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