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.

If you're using Google Cloud SQL (MySQL) and looking to understand your customers better, you might find Faraday's Repeat Purchase Readiness predictions pretty handy. By integrating these predictions into your existing database, you can seamlessly identify which of your customers are most inclined to make another purchase soon. This means you can target your marketing efforts more effectively without disrupting your current setup. It's a straightforward way to make more informed decisions and potentially boost repeat sales without needing to overhaul your system. Simple and practical, just like we like it.

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