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 a Faraday user with a Shopify store, you know how important it is to keep your customers coming back. Repeat purchase readiness predictions can be really helpful here. By integrating Faraday with Shopify, you can identify which of your customers are most likely to make another purchase soon. This means you can focus your marketing efforts on the right people at the right time, making your campaigns more efficient and effective. It's a straightforward way to better understand your customers' buying patterns and give them the nudge they need to return.

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