Likelihood to become a customer

Likelihood to become a customer predictions score everyone in the US by how closely they resemble your existing customers, revealing lookalike prospects you can reach in your acquisition campaigns.

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

  • Create a predictive model for likelihood to become a customer using an outcome.

Let's dive in.

  1. You'll need a Faraday Enterprise account — talk to sales to get set up.

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).

API via cURL
Dashboard

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.

Customers

Configure your prediction

Create a likelihood to become a customer outcome

API via cURL
Dashboard

Use a POST /outcomes request:

curl https://api.faraday.ai/outcomes --json '{
  "name": "Likelihood to become a customer",
  "attainment": "$CUSTOMERS_COHORT_ID"
}'

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