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.

Imagine being able to fine-tune your Google Ads campaigns by knowing exactly which of your customers are most likely to make another purchase soon. Faraday's Repeat Purchase Readiness predictions can provide just that insight, helping you make more informed decisions about where to allocate your ad budget. This way, you can focus your resources on those customers who are most ready to buy again, potentially improving your return on investment without needing to cast such a wide net. It’s a simple yet effective way to get more out of your marketing efforts and strengthen customer relationships along the way.

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