Artificial Intelligence: Qubit attacks low mobile transformation rate

By

Matthieu Guinebault

Published
Oct 16, 2017

In order to compensate for the low mobile phone purchase rate (on shopping apps), the personalisation specialist Qubit has announced the launch of Aura.

Introduced as the first customisation tool for mobiles that uses Artificial Intelligence, the tool allows third-party applications to integrate a button that sends communications to mobile users and shares relevant suggestions with them from the app’s catalogue. 

After analysing trends within the app’s 35 fashion and beauty portals, the app has been running since July. With the launch, it has attracted around 20 mobile sales applications including from Diane von Furstenberg, Wolf & Badger, and ColorPop.

The company’s CEO, Graham Cooke, said about the app: “E-commerce companies can maintain their relevance and differentiate themselves from giants like Amazon by strengthening the ‘discoverability’ of their products.”

The promise is simple: to boost mobile sales which are often lower than on desktops that experience the same levels of traffic. The mobile transformation rate is, therefore, 1.61 percent, as opposed to 3.35 percent on desktops. The margin of progression can be seen particularly by the average number of products seen on a site’s first page, 17.99 on average for desktops and 13.65 on mobiles. Qubit aims to stand out from its competitors AB Tasty and Unbounce.

Based in London, and with offices both on mainland Europe and in the United States, the firm has the Arcadia Group, L.K. Bennet, Net-a-Porter, Farfetch, Indochino, Monsoon Accessorize, and Burton Menswear London among its clients.