Product recommendation

Product recommendation predictions reveal which products individuals are most likely to respond best to, enabling you to find the perfect first-best or next-best offer.

Interface

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

  • Create a predictive model for product recommendation using a recommender.

Let's dive in.

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

Confirm your data

Event stream

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).

curl

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

[{
  "name": "Transaction",
  "id": "$TRANSACTION_STREAM_ID"
, ...}]

Make note of the IDs of the necessary streams.

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

Transaction
→

Configure your prediction

Create a product recommendation recommender

curl

Use a POST /recommenders request:

curl https://api.faraday.ai/recommenders --json '{
  "name": "Product recommendation",
  "stream_name": "transaction",
  "stream_property_name": "product"
}'

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