Customer personas
Interface
In this tutorial, we'll show you how to:
- Create a predictive model for customer personas using a persona set.
Let's dive in.
- You'll need a Faraday account — signup is free!
Confirm your data
Cohorts
Unless you’ve already created it for another quickstart or purpose, you’ll need to add the following cohort to your account:
- Customers
What’s a cohort?
A cohort is Faraday’s term for a commercially significant group of people — for example, a brand’s customers, leads, or even “people who bought X and Y and then cancelled.”
Cohort membership is fluid — continuously computed by Faraday — and is defined by events its members must all have experienced and/or traits its members must all share.
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 /cohorts
request. Your response should look like this:
[{ "name": "Customers", "id": "$CUSTOMERS_COHORT_ID" , ...}]
Make note of the IDs of the necessary cohorts.
If the required cohort isn’t there, follow the instructions using this button, then return here to resume.
Configure your prediction
Create a customer personas persona set
Use a POST /persona_sets
request:
curl https://api.faraday.ai/persona_sets --json '{ "name": "Customer personas", "cohort": "$CUSTOMERS_COHORT_ID" }'
Your persona set will start building in the background. You can proceed immediately with the next set of instructions. When your persona set is done building, you’ll get an email.