Repeat purchasers

Your repeat purchasers cohort represents all individuals that have made more than one purchase with your business. Creating this cohort helps enable repeat purchaser predictions. Additionally, persona predictions can be used to analyze this cohort–to see if a particular persona is more likely to repeat purchase, for example.


In this tutorial, we'll show you how to:

  • Describe your Repeat purchasers group formally using a cohort.

Let's dive in.

  1. You'll need a Faraday account — signup is free!

Confirm your data

Event streams

Unless you’ve already created it for another quickstart or purpose, you’ll need to add the following event stream to your account:

  • Transaction

What’s an event stream?

Predicting a certain customer behavior requires historical examples of customers exhibiting that behavior. Faraday works best when that data comes in the form of “events” — specific actions or occurrences that happened at specific times.

Formulating data this way helps you define cohorts more expressively.

For example, a Customers cohort could be defined as the group of people who have all experienced a Transaction event at least once.

For more, see our docs on Cohorts, Events, Traits, and Datasets (which define how events and traits emerge from your data).


To verify, use a GET /streams request. Your response should look like this:

  "name": "Transaction",
, ...}]

Make note of the IDs of the necessary streams.

If the required stream isn’t there, follow the instructions using this button, then return here to resume.

Create cohort

Create a repeat purchasers cohort


Use a POST /cohorts request:

curl --json '{
  "name": "Repeat purchasers",
  "stream_name": "transaction",
  "min_count": 2

Your cohort will start building in the background. You can proceed immediately with the next set of instructions. When your cohort is done building, you’ll get an email.