Repeat purchase readiness

You’ll need a Faraday account to use this template. It’s free to sign up and you can use sample data to start.

As a Faraday user who's familiar with MySQL, you might find it super handy to have Repeat Purchase Readiness predictions right in your database. Imagine being able to quickly query and identify which customers are most likely to buy from you again. By integrating these predictions into MySQL, you streamline customer targeting without having to switch between different tools or platforms. It's a straightforward way to enhance your marketing efforts, making your SQL queries not just about basic data retrieval but also about actionable insights. Plus, it's an efficient use of what you're already comfortable with, helping you make better decisions with ease.

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.
One-time purchasers Repeat purchasers 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.
Likelihood to buy again
Step 5
Define your repeat purchase scoring pipeline and deploy to MySQL
Finally, deploy your prediction with the link below.
Repeat purchase scoring
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