Project Overview

In this project, I analysed the A/B test results of a fictional company GloBox, and provided a recommendation to stakeholders about whether they should launch the experience. This project was done in conjunction with the Data Analytics program at Masterschool.

Company Profile

GloBox is an online marketplace that specialises in sourcing unique and high-quality products from around the world.

GloBox is primarily known amongst its customer base for boutique fashion items and high-end decor products. However, their food and drink offerings have grown tremendously in the last few months, and the company wants to bring awareness to this product category to increase revenue.

A/B Test Setup

The Growth team decided to run an A/B test that highlights key products in the food and drink category as a banner at the top of the website. The control group does not see the banner, and the test group sees it as shown below:

The setup of the A/B test is as follows:

1. The experiment is only being run on the mobile website for 13 days from 25th January 2023 to 6th February 2023.
2. A user visits the GloBox main page and is randomly assigned to either the control or test group. This is the join date for the user.
3. The page loads the banner if the user is assigned to the test group, and does not load the banner if the user is assigned to the control group.
4. The user subsequently may or may not purchase products from the website. It could be on the same day they join the experiment, or days later. If they do make one or more purchases, this is considered a “conversion”.

Objectives

• Boost the visibility of the Food & Drink section
• Increase revenue