Monetate Recommendation Engine
DATE
March 2018 – November 2018
MY ROLE
UX Designer, UX Researcher
OVERVIEW
For many businesses, a major part of personalizing a customer’s experience involves curating which products to show and when to do so. Have you been looking at shirts online for the last hour? You probably need a hand picking the right one. Or are you a new customer coming to the site for the first time? You probably want an overview of the brand and would benefit from seeing their best selling items. The goal is to guide and enable marketers to personalize their product recommendations at scale across all channels. This project is an update to Monetate’s existing recommendations offering that had not been updated since 2014.
CHALLENGE
A major consideration throughout this project has been determining what elements of our existing offering, both in terms of technical architecture and design paradigms, to hold onto. The recommendation space is a mature market with several well established point solutions. Our team is ruthlessly focused on delivering differentiated value in a lean, iterative fashion.
SOLUTION & IMPACT
Initial beta client feedback and early sales feedback has been overwhelmingly positive with clients appreciating the increased flexibility, reduction in manual work, and new, sophisticated use cases that they are able to run.
