Landing page optimization (LPO) is one part of a broader Internet marketing process called conversion optimization, or conversion rate optimization (CRO), with the goal of improving the percentage of visitors to the website that become sales leads and customers. A landing page is a webpage that is displayed when a potential customer clicks an advertisement or a search engine result link. This webpage typically displays content that is a relevant extension of the advertisement or link. LPO aims to provide page content and appearance that makes the webpage more appealing to target audiences. 

The first helps direct attention to the goal of the page -- for you to fill out the form -- in a way that's unobtrusive and feels less like a chore. The second gives this page an SEO boost (search engines will have more content to crawl) and assuages any worry from folks who need to know more about a piece of content before handing over their information, all while not distracting people from the chat window.
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.[11]
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.
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.[9] At the conclusion of the experiment, an optimal page is selected based on the outcome of the experiment.
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.[11]
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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.
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