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 already using Google Cloud SQL (Postgres) for your data, incorporating Faraday's Repeat purchase readiness predictions could be a smart move. These predictions can integrate seamlessly with your existing setup, helping you pinpoint which customers are primed to make another purchase. This means you can make data-driven decisions without changing your workflow. You'll have a clearer picture of your customer base directly within your familiar database environment, making it easier to target your marketing efforts and potentially boost your sales. Plus, having everything in one place just simplifies the process.

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