A/B and multivariate testing

Continuous improvement of Qantas’ booking engine

 

Background

The booking engine is Qantas’ main digital direct revenue generator. Even relatively small improvements of the user experience can result in millions of dollars in additional revenue.

Results

Over the course of 2.5 years, I worked on over 15 A/B and Multivariate Tests, where some resulted in 1-2% additional revenue, such as:

Points plus pay optimisation

Increased burn of points through visible points plus pay slider functionality before login.

Express checkout

Increased conversion and reduced time to book via increased visibility of Express Checkout.

Late login promotion

Increased conversion of logged in frequent flyers with a more visible promo tile.

Classic rewards price

Increased conversion by displaying classic reward prices before logging in.

Lead-in fare introduction

Reduction of cognitive load by only displaying the lowest cash and classic reward price.

Search preference optimisation

Reduced cognitive load and increased conversion with optimised search preference display.