In online marketing, a landing page, sometimes known as a "lead capture 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. 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.
Landing pages are often linked to social media, email campaigns or search engine marketing campaigns in order to enhance the effectiveness of the advertisements. The general goal of a landing page is to convert site visitors into sales or leads. If the goal is to obtain a lead, the landing page will include some method for the visitor to get into contact, usually a phone number, or an inquiry form. If a sale is required, the landing page will usually have a link for the visitor to click, which will then send them to a shopping cart or checkout area. By analyzing activity generated by the linked URL, marketers can use click-through rates and conversion rate to determine the success of an advertisement.
There are two types of landing pages: reference and transactional.
A reference landing page presents information that is relevant to the visitor. These can display text, images, dynamic compilations of relevant links, or other elements.
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.
Landing pages originated with Microsoft in late 2003, formed by their IT departments in response to poor online sales of Office. The process was tedious and time-consuming, however, and as a result, several American startups 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.
Landing pages often contain clear, concise action-oriented headlines. A good landing page explains the product offer in a clear manner and places visual emphasis on the value of the product or service presented. People who make these pages tend to remove the navigation menu and links. 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.
Land 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.
There are two major types of LPO based on experimentation:
Experimentation-based LPO can be achieved using A/B testing, multivariate LPO, and total-experience testing. These methodologies are applicable to both closed- and open-ended experimentation.
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 or conversion.
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.
A/B testing has the following advantages:
A/B testing has the following disadvantages:
Multivariate landing page optimization (MVLPO) accounts for multiple variations of visual elements (e.g., graphics, text) on a page. For example, a given page may have k choices for the title, m choices for the featured image or graphic, and n choices for the company logo. This example yields k×m×n landing page configurations.
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.
The first application of an experimental design for MVLPO was performed by Moskowitz Jacobs Inc. in 1998 as a simulation/demonstration project for Lego. MVLPO did not become a mainstream approach until 2003 or 2004.
MVLPO has the following advantages:
MVLPO has the following disadvantages:
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.
An advantage of total-experience testing is that it reflects the customer's total website experience, not just the experience with a single page. Two disadvantages are that total-experience testing requires a website platform that supports experience testing, and it takes longer to obtain results than A/B testing and MVLPO.
Message Matching is the idea of matching the pre-click message to the post-click message on the landing page, with the goal of making people think they reached a highly relevant page on the product or subject they are looking for. This could be done by displaying a statement to the visitors stating exactly the same wording that was found in the advertisement they clicked on.
The messaging on the page reinforces the reason for their click, reducing or removing confusion and therefore increasing conversion rates. This reduces the bounce-rate, and improves overall user experience on the page.
Design Matching takes the design on the display ad and repeats it on the landing page. Ensuring the look, feel and sentiment is the same in order to smooth the transition between clicking the ad and completing a conversion.
Manage research, learning and skills at defaultLogic. Create an account using LinkedIn or facebook to manage and organize your IT knowledge. defaultLogic works like a shopping cart for information -- helping you to save, discuss and share.