Landing pages originated with the IT departments of Microsoft in late 2003 in response to poor online sales of Office. The process was tedious and time-consuming. As a result, in 2009, several startups, including Unbounce, were formed to simplify and streamline the process. The rise of cloud computing and e-commerce around 2009 provided ideal conditions for these startups to flourish. Since then the customer requirements changed, requesting integrations with other solutions such as email marketing, lead nurturing and customer relationship management systems.
Total-experience testing, or experience testing, is a type of experiment-based testing in which the entire website experience of the visitor is examined using technical capabilities of the website platform (e.g., ATG, Blue Martini Software, etc.). Rather than creating multiple websites, total-experience testing uses the website platform to create several persistent experiences, and monitors which one is preferred by the customers.
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.
Webflow, a design tool for web developers, packs a lot of information into just a GIF and three form fields. Having the entire sign-up form on a single line is a nice touch here -- not only does it make the page shorter, but filling out each box from left to right shows users how close they are to clicking the fourth blue button and getting started for free.
The metaphor of the funnel is used because people drop away at each stage of a long sales process: for example, many of your unqualified prospects may have existing suppliers with whom they're very satisfied. Others may have needs which other competitors are better-placed to satisfy. Still, others may love your products, but not have the budget to buy them.
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.
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