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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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.
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Testing can be conducted sequentially or in parallel. In sequential testing, often the easiest to implement, the various versions of the webpages are made available online for a specified time period. In parallel (split) testing, both versions are made available, and the traffic is divided between the two. The results of sequential split testing can be skewed by differing time periods and traffic patterns in which the different tests are run.
The purpose of the transactional landing page is to persuade a visitor to take action by completing a transaction. This is accomplished by providing a form that needs to be filled out. The visitor information is obtained in order to add the visitor’s email address to a mailing list as a prospect. An email campaign can then be developed based on responses to transactional landing pages. The goal is to capture as much information about the visitor as possible. The ultimate goal is to convert the visitor into a customer.[citation needed]
In online marketing, a landing page, sometimes known as a "lead capture page", "static page" or a "lander", or a "destination page", is a single web page that appears in response to clicking on a search engine optimized search result or an online advertisement.[1] The landing page will usually display directed sales copy that is a logical extension of the advertisement, search result or link. Landing pages are used for lead generation. The actions that a visitor takes on a landing page is what determines an advertiser's conversion rate.[2]
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. 

Full disclosure: IMPACT is a HubSpot partner -- but that's not why they're included here. IMPACT's landing pages have long been a source of design inspiration. I love the simple layout of the page, from the large headline copy and detailed featured image, to the outline that surrounds the form, to the colors and fonts that are very pleasing to the eye. 

Marketing experts recommend websites remove the navigation menu and limit internal and external links on the page.[7] 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.
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.
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]

Nauto, a data platform for self-driving cars, helps make autonomous driving safer for companies who manage fleets of self-driving vehicles. Naturally, its customers would need all kinds of information to sell them on this platform. Nauto has it, packaged into a super-simple ebook whose landing page gives you both a brief contact form and some preview statistics to prove why this resource is so important.


The purpose of the transactional landing page is to persuade a visitor to take action by completing a transaction. This is accomplished by providing a form that needs to be filled out. The visitor information is obtained in order to add the visitor’s email address to a mailing list as a prospect. An email campaign can then be developed based on responses to transactional landing pages. The goal is to capture as much information about the visitor as possible. The ultimate goal is to convert the visitor into a customer.[citation needed]
Significant improvements can be seen through testing different copy text, form layouts, landing page images and background colours. However, not all elements produce the same improvements in conversions, and by looking at the results from different tests, it is possible to identify the elements that consistently tend to produce the greatest increase in conversions.[citation needed]
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