Repeat purchase readiness

You will need a Faraday account to use this template. It is free to sign up and you will just need some sample data to start.

Get started for free

Sure, let's take a look at why you might find value in using repeat purchase readiness predictions with Motherduck. Imagine having insight into which of your customers are on the brink of making another purchase. This can help you focus your marketing efforts where they might have the most impact. By integrating these predictions within Motherduck, you could easily manage and analyze your data side-by-side with predictions, right where you already work. This could make it simpler to tailor your marketing strategies, personalize campaigns, and ultimately encourage those ready customers to come back. It's a practical way to potentially enhance your strategy without adding much complexity to your workflow.

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