A/B testing, or A/B split testing, is a method for testing two versions of a webpage: version "A" and version "B". The goal is to test multiple versions of webpages (e.g., home page vs. product page) or one specific element that changes between variation A and variation B (such as having a lead form on the left hand side or having it placed on the right hand side), FAQ to determine which version is most appealing/effective. This testing method may also be known as A/B/n split testing; the n denoting more than 2 tests being measured and compared. The data for A/B testing is usually measured via click-through rate or an alternative conversion tracking method.
Closed-ended experimentation. Consumers are exposed to several variations of landing pages, altering elements like headlines, formatting and layout while their behavior is observed in an attempt to remove distractions that will take the lead away from the page, including the primary navigation. At the conclusion of the experiment, an optimal page is selected based on the outcome of the experiment.
It's no surprise Unbounce is near the top of this list -- they've actually written the book on creating high-converting landing pages. Although there are lots of amazing things about this landing page, the two that I absolutely love are: 1) The use of a chat window instead of a classic form, and 2) the detailed -- but well packaged -- information below the form.
Marketing experts recommend websites remove the navigation menu and limit internal and external links on the page. The form length mirrors the value of the offer[clarification needed]. They may also include a relevant image, animation or short video. These pages also tend to contain small icons (i.e. of Facebook, or Twitter) to facilitate social media sharing.
Muzzle, a mac app that silences on-screen notifications, fully embraces this show don't tell mentality on their otherwise minimal landing page. Visitors to the page are greeted with a rapid-fire onslaught of embarrassing notifications in the upper left of the screen. Not only is the animation hilarious, it also manages to compellingly convey the app's usefulness without lengthly descriptions.
Open-ended experimentation. This approach is similar to closed-ended experimentation except that more variations will be added for testing and experimentation will not stop when a winner is found. This method is used by large corporation to dynamically improve their conversion rates and improve user experience. Landing page can also be adjusted dynamically as the experiment results change to further enhance user experience.