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 a Faraday user who's also using Shopify, you might find adaptive discounting predictions particularly handy. Imagine being able to tailor your promotions so that each customer feels like they're getting the perfect deal just for them. With Faraday’s adaptive discounting, you can see which of your customers on Shopify are most likely to appreciate and respond to specific discounts. It helps you allocate your promotional efforts more wisely, making sure your best offers go to those who will most value them. This way, you’re not just throwing discounts around; you're thoughtfully engaging with your customers and potentially boosting their loyalty.

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