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Demographic targeting is a form of behavioral advertising in which advertisers target online advertisements at consumers based on demographic information. [1]They are able to achieve this by using existing information from sources such as browser history, previous searches as well as information provided by the users themselves to create demographic profiles of consumers.
Search engine marketing uses search engines to reach target audiences. For example, Google's Remarketing Campaigns are a type of targeted marketing where advertisers use the IP addresses of computers that have visited their websites to remarket their ad specifically to users who have previously been on their website whilst they browse websites that are a part of the Google display network, or ...
Social network advertising, also known as social media targeting, is a group of terms used to describe forms of online advertising and digital marketing that focus on social networking services. A significant aspect of this type of advertising is that advertisers can take advantage of users' demographic information , psychographics , and other ...
Frequency capping is a feature within ad serving that allows to limit the maximum number of impressions/views a visitor can see a specific ad within a period of time. For example, "three views/visitor/24-hours" ("three views per visitor per 24-hours") means after viewing this ad three times, any visitor will not see it again for 24 hours.
Approximately 9% of all online page views come from browsers with ad-blocking software installed, [107] and some publishers have 40%+ of their visitors using ad-blockers. [7] Use of mobile and desktop ad blocking software designed to remove traditional advertising grew by 41% worldwide and by 48% in the U.S. between Q2 2014 and Q2 2015.
Contextual advertising is also called "In-Text" advertising or "In-Context" technology. Contextual targeting involves the use of linguistic factors to control the placement of advertising material. The advertisements are selected and delivered by automated systems, taking into consideration the context of a user's search or browsing behavior.
While the concepts of Bayesian statistics are thought to date back to 1763, marketers' exposure to the concepts are relatively recent, dating from 1959. [2] Subsequently, many books [5] [6] [7] and articles [8] [9] have been written about the application of Bayesian statistics to marketing decision-making and market research.
Informative advertising is advertising that is carried out in a factual manner. This form of advertising relies solely on the goods or service's strengths and features, rather than trying to convince customers to buy a product using emotion. The use of emotion in advertising is classified as persuasive advertising. [1]