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 MySQL to manage your customer data, incorporating Faraday's Adaptive discounting predictions can be a natural and beneficial step. It's all about making your promotions smarter and your marketing budget more efficient. By understanding which customers are most likely to respond positively to your offers, you can tailor your discounts accordingly. This means you can avoid across-the-board promotions and instead offer the best deals to the people who will appreciate them the most. With predictions you can bring into your existing MySQL setup, it’s an easy way to add a layer of intelligence to your marketing efforts without needing to overhaul your current system. It's just a thoughtful way to enhance your data-driven decisions.

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