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.

Hey there! If you're a fan of both Faraday and Stripe, you're in luck. Adaptive discounting predictions from Faraday can be a great way to optimize your promotions within Stripe. Imagine knowing exactly how much of a discount each of your customers would respond to best. Instead of offering the same promo to everyone and hoping it sticks, you can use these predictions to tailor your discounts based on customer data. This way, you can offer just the right amount to really appeal to each individual and potentially save some budget while doing it. It's a thoughtful approach that helps you get more out of your promotional efforts in Stripe, making your marketing more efficient and targeted.

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