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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If you're using Faraday and ClickHouse, integrating Repeat purchase readiness predictions could be a helpful addition to your toolkit. You might find it useful to know which of your customers are most likely to make another purchase soon. By storing and analyzing these predictions in ClickHouse, you can effortlessly run queries to segment and target those ready-to-buy customers, streamlining your marketing efforts. It’s a practical way to make your customer data more actionable and insightful, helping you focus on the right people at the right time.

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