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 Azure SQL and are a Faraday user, incorporating Repeat purchase readiness predictions into your workflow can really streamline your efforts. By knowing which customers are most ready to buy again, you can tailor your marketing campaigns more precisely and make informed decisions that resonate with your clientele. Integrating these predictions directly into Azure SQL means you can manage and analyze all of your customer data in one centralized location. This setup can help you stay organized and act quickly on valuable insights without having to juggle multiple platforms or data sources. It's a practical way to make sure you're reaching out to the right people at the right time.

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