A/B Testing is a statistical method of comparing two variants of a product to determine which one performs better. It’s become extremely popular in recent years, and if you’d like to learn more you can read Optimizely’s introduction here. It’s dead simple to do, and extremely effective when min/max -ing one metric.

The most common ways of performing an A/B test is with third party tools and websites such as Optimizely, Google Analytics Experiments, or simply rolling your own.

1. Simple: Single action or metric page, e.g. Landing pages

Extremely focused pages that only have one narrow action such as simple landing pages benefit extremely well from A/B Testing. In the above example, our null hypothesis is that Variant A & B perform equally well. It is easy to optimize for one metric such or conversion rate or revenue. This is the primary use case for most A/B testing tools and you...

Car ownership is widely accepted in most countries as a necessity in the modern world. However, It’s also incredibly inefficient.

The average Australian (or American) that drives a car on any given day drives for 1.5 hours on average, this means that about 94% of the time, the car is rusting away in some parking spot. This utilization is actually lower as it discounts those that own a car but didn’t drive on a particular day. That’s like an airline buying a Boeing 747 and only flying it one or two days A MONTH. Utilization rates are an important metric for many businesses. For comparison the time Utilization of Hertz, a car rental property is over 65%, and Taxicabs in NYC are occupied roughly half of the time - an order of magnitude difference to average consumer vehicle ownership.

Cars are one of the most expensive things a person will buy in their lifetimes, and for most people...