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.

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Sure, a Faraday user might want to use Repeat Purchase Readiness predictions in Athena to better understand their customers. By identifying which customers are most likely to buy again, they can tailor their marketing efforts more effectively. This could mean sending personalized offers or reminders to those who are ready to make another purchase. The goal is to engage with customers in a meaningful way, boosting sales without being pushy. It’s a practical tool for making informed decisions about customer interactions.

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