• Title/Summary/Keyword: Banner advertisement

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Extended Script Structure for Advertisement Game Development (광고형 게임 개발을 위한 확장 스크립트 구조)

  • Park, Jung-Yong
    • Journal of Korea Game Society
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    • v.7 no.2
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    • pp.53-60
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    • 2007
  • This paper proposes the knowledge structure of an extended script for advertisement style game embodiment. This approach is able to allow for developing game and advertisement module. Research to reconsider contradictory awareness about existent game have been evolving from game education system, advertisement style game and simulation game for training and so on. In this paper, a situation hierarchy structure which allows the designer for simulating high-level specifications of game structure. And we describes with mathematical structure for proposed situation structure. Game unfolding utilizes with causality. Game reflects situation of a spatiotemporal real world. For this goal, we applied extended script to game world. Advertisement style module progresses by method to provide company's advertisement to user while game is gone. The advantage of proposed method are able to allows for novice to effectively insert banner image, video and so on into advertisement module. The proposed method was implemented in the "Shooting BaDuk" among games.

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A Study on the Meaning and Strategy of Keyword Advertising Marketing

  • Park, Nam Goo
    • Journal of Distribution Science
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    • v.8 no.3
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    • pp.49-56
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    • 2010
  • At the initial stage of Internet advertising, banner advertising came into fashion. As the Internet developed into a central part of daily lives and the competition in the on-line advertising market was getting fierce, there was not enough space for banner advertising, which rushed to portal sites only. All these factors was responsible for an upsurge in advertising prices. Consequently, the high-cost and low-efficiency problems with banner advertising were raised, which led to an emergence of keyword advertising as a new type of Internet advertising to replace its predecessor. In the beginning of 2000s, when Internet advertising came to be activated, display advertisement including banner advertising dominated the Net. However, display advertising showed signs of gradual decline, and registered minus growth in the year 2009, whereas keyword advertising showed rapid growth and started to outdo display advertising as of the year 2005. Keyword advertising refers to the advertising technique that exposes relevant advertisements on the top of research sites when one searches for a keyword. Instead of exposing advertisements to unspecified individuals like banner advertising, keyword advertising, or targeted advertising technique, shows advertisements only when customers search for a desired keyword so that only highly prospective customers are given a chance to see them. In this context, it is also referred to as search advertising. It is regarded as more aggressive advertising with a high hit rate than previous advertising in that, instead of the seller discovering customers and running an advertisement for them like TV, radios or banner advertising, it exposes advertisements to visiting customers. Keyword advertising makes it possible for a company to seek publicity on line simply by making use of a single word and to achieve a maximum of efficiency at a minimum cost. The strong point of keyword advertising is that customers are allowed to directly contact the products in question through its more efficient advertising when compared to the advertisements of mass media such as TV and radio, etc. The weak point of keyword advertising is that a company should have its advertisement registered on each and every portal site and finds it hard to exercise substantial supervision over its advertisement, there being a possibility of its advertising expenses exceeding its profits. Keyword advertising severs as the most appropriate methods of advertising for the sales and publicity of small and medium enterprises which are in need of a maximum of advertising effect at a low advertising cost. At present, keyword advertising is divided into CPC advertising and CPM advertising. The former is known as the most efficient technique, which is also referred to as advertising based on the meter rate system; A company is supposed to pay for the number of clicks on a searched keyword which users have searched. This is representatively adopted by Overture, Google's Adwords, Naver's Clickchoice, and Daum's Clicks, etc. CPM advertising is dependent upon the flat rate payment system, making a company pay for its advertisement on the basis of the number of exposure, not on the basis of the number of clicks. This method fixes a price for advertisement on the basis of 1,000-time exposure, and is mainly adopted by Naver's Timechoice, Daum's Speciallink, and Nate's Speedup, etc, At present, the CPC method is most frequently adopted. The weak point of the CPC method is that advertising cost can rise through constant clicks from the same IP. If a company makes good use of strategies for maximizing the strong points of keyword advertising and complementing its weak points, it is highly likely to turn its visitors into prospective customers. Accordingly, an advertiser should make an analysis of customers' behavior and approach them in a variety of ways, trying hard to find out what they want. With this in mind, her or she has to put multiple keywords into use when running for ads. When he or she first runs an ad, he or she should first give priority to which keyword to select. The advertiser should consider how many individuals using a search engine will click the keyword in question and how much money he or she has to pay for the advertisement. As the popular keywords that the users of search engines are frequently using are expensive in terms of a unit cost per click, the advertisers without much money for advertising at the initial phrase should pay attention to detailed keywords suitable to their budget. Detailed keywords are also referred to as peripheral keywords or extension keywords, which can be called a combination of major keywords. Most keywords are in the form of texts. The biggest strong point of text-based advertising is that it looks like search results, causing little antipathy to it. But it fails to attract much attention because of the fact that most keyword advertising is in the form of texts. Image-embedded advertising is easy to notice due to images, but it is exposed on the lower part of a web page and regarded as an advertisement, which leads to a low click through rate. However, its strong point is that its prices are lower than those of text-based advertising. If a company owns a logo or a product that is easy enough for people to recognize, the company is well advised to make good use of image-embedded advertising so as to attract Internet users' attention. Advertisers should make an analysis of their logos and examine customers' responses based on the events of sites in question and the composition of products as a vehicle for monitoring their behavior in detail. Besides, keyword advertising allows them to analyze the advertising effects of exposed keywords through the analysis of logos. The logo analysis refers to a close analysis of the current situation of a site by making an analysis of information about visitors on the basis of the analysis of the number of visitors and page view, and that of cookie values. It is in the log files generated through each Web server that a user's IP, used pages, the time when he or she uses it, and cookie values are stored. The log files contain a huge amount of data. As it is almost impossible to make a direct analysis of these log files, one is supposed to make an analysis of them by using solutions for a log analysis. The generic information that can be extracted from tools for each logo analysis includes the number of viewing the total pages, the number of average page view per day, the number of basic page view, the number of page view per visit, the total number of hits, the number of average hits per day, the number of hits per visit, the number of visits, the number of average visits per day, the net number of visitors, average visitors per day, one-time visitors, visitors who have come more than twice, and average using hours, etc. These sites are deemed to be useful for utilizing data for the analysis of the situation and current status of rival companies as well as benchmarking. As keyword advertising exposes advertisements exclusively on search-result pages, competition among advertisers attempting to preoccupy popular keywords is very fierce. Some portal sites keep on giving priority to the existing advertisers, whereas others provide chances to purchase keywords in question to all the advertisers after the advertising contract is over. If an advertiser tries to rely on keywords sensitive to seasons and timeliness in case of sites providing priority to the established advertisers, he or she may as well make a purchase of a vacant place for advertising lest he or she should miss appropriate timing for advertising. However, Naver doesn't provide priority to the existing advertisers as far as all the keyword advertisements are concerned. In this case, one can preoccupy keywords if he or she enters into a contract after confirming the contract period for advertising. This study is designed to take a look at marketing for keyword advertising and to present effective strategies for keyword advertising marketing. At present, the Korean CPC advertising market is virtually monopolized by Overture. Its strong points are that Overture is based on the CPC charging model and that advertisements are registered on the top of the most representative portal sites in Korea. These advantages serve as the most appropriate medium for small and medium enterprises to use. However, the CPC method of Overture has its weak points, too. That is, the CPC method is not the only perfect advertising model among the search advertisements in the on-line market. So it is absolutely necessary that small and medium enterprises including independent shopping malls should complement the weaknesses of the CPC method and make good use of strategies for maximizing its strengths so as to increase their sales and to create a point of contact with customers.

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Development of Internet Advertising Method based on Text Keyword according to Mouse Action (마우스의 움직임에 따른 텍스트 키워드 기반 인터넷광고기법 개발)

  • 진교홍;이혜원
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.8
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    • pp.1691-1697
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    • 2003
  • The Internet is standing in the spotlight of a new medium of advertisement with explosive growth of market share of electronic commerce, several Internet advertising methods have been implemented. Among them, the banner advertising method is typically being used in the Internet, but the users are not willing to see the banner advertising, moreover that method shows low click rate. Accordingly we propose a new Internet advertising method that makes expose advertising content according to proper text keyword in the article of web pages. During user is reading a article of web page, when user puts mouse pointer over a text keyword, previously specified advertising content is appeared on the web page. The proposed method is based on the keyword advertising, and unlike banner advertising, various shape of images can be applied. Also whole web page could be used for advertising area, and the method does not affect loading delay time of web page.

Personalized Advertising Techniques on the Internet for Electronic Newspaper Provider (전자신문 제공업자를 위한 인터넷 상에서의 개인화된 광고 기법)

  • 하성호
    • Journal of Information Technology Application
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    • v.3 no.1
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    • pp.1-21
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    • 2001
  • The explosive growth of the Internet and the increasing popularity of the World Wide Web have generated significant interest in the development of electronic commerce in a global online marketplace. The rapid adoption of the Internet as a commercial medium is rapidly expanding the necessity of Web advertisement as a new communication channel. if proper Web advertisement could be suggested to the right user, then effectiveness of Web advertisement will be raised and it will help company to earn more profit. So, this article describes a personalized advertisement technique as a part of intelligent customer services for an electronic newspaper provide. Based on customers history of navigation on the electronic newspapers pages, which are divided into several sections such as politics, economics, sports, culture, and so on, appropriate advertisements (especially, banner ads) are chosen and displayed with the aid of machine learning techniques, when customers visit to the site. To verify feasibility of the technique, an application will be made to one of the most popular e-newspaper publishing company in Korea.

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Evaluating Conversion Rate from Advertising in Social Media using Big Data Clustering

  • Alyoubi, Khaled H.;Alotaibi, Fahd S.
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.305-316
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    • 2021
  • The objective is to recognize the better opportunities from targeted reveal advertising, to show a banner ad to the consumer of online who is most expected to obtain a preferred action like signing up for a newsletter or buying a product. Discovering the most excellent commercial impression, it means the chance to exhibit an advertisement to a consumer needs the capability to calculate the probability that the consumer who perceives the advertisement on the users browser will acquire an accomplishment, that is the consumer will convert. On the other hand, conversion possibility assessment is a demanding process since there is tremendous data growth across different information dimensions and the adaptation event occurs infrequently. Retailers and manufacturers extensively employ the retail services from internet as part of a multichannel distribution and promotion strategy. The rate at which web site visitors transfer to consumers is low for online retail, out coming in high customer acquisition expenses. Approximately 96 percent of web site users concluded exclusive of no shopper purchase[1].This category of conversion rate is collected from the advertising of social media sites and pages that dataset must be estimating and assessing with the concept of big data clustering, which is used to group the particular age group of people along with their behavior. This makes to identify the proper consumer of the production which leads to improve the profitability of the concern.

A Study on the Development of Realtime Online Maketing System Using Web Log Analytics (웹 로그분석을 이용한 실시간 온라인 마케팅 시스템 설계 및 개발에 관한 연구)

  • Oh, Jae-Hoon;Kim, Jae-Hoon;Kim, Jong-Woo
    • The Journal of Society for e-Business Studies
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    • v.16 no.3
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    • pp.249-261
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    • 2011
  • The rapid growth of e-business market makes new online companies to start and existing offline companies to join in this area. As the number of players of this market grows rapidly, the competition among them is very intense. Many companies invest huge resources to online marketing including search advertisement, email advertisement and banner advertisement. Because these traditional online marketing activities mainly focus on how to invite visitors to their web sites, ROI of these marketing activities are getting lower. Many companies are looking for a new marketing method to escape this situation. In this paper, we propose ROMS (Realtime Online Marketing System) which supports tools to improve conversion ratio of e-commerce sites, ROMS gathers behavioral data of visitors and analyzes it in realtime. ROMS supports live chats, visitor profiling, context analysis, event detection, and live marketing. With ROMS, personalized offers based on visitors' realtime context can be made for each visitor.

A Study on Strategic Management of Native Advertisement (네이티브 광고의 전략적 관리방안에 관한 연구)

  • Son, Jeyoung;Kang, Inwon
    • Management & Information Systems Review
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    • v.38 no.1
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    • pp.63-81
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    • 2019
  • In order to overcome the disadvantages of banner ad, pop-up ad, interstitial ad, which are existing web advertisement forms, native ad is actively utilized. Native advertising is considered to be a useful advertising technique in that it can reduce users' rejection and attract attention. However, in recent years, there have been a lot of fake news and fake contents that have turned articles or video contents into advertisements. The purpose of this study is to understand how firms can coordinate and control native advertisements in a rational way. For this analysis, we conducted a survey of 308 social media users using quota sampling method. As a result of the verification, it was found that the more negative the perception of the evaluation of the advertisement, the less the level of persuasion about the advertisement and the negative impact on the website where the advertisement is exposed. In addition, this study examined the influence of the negative stimulus factors on the qualitative performance of the firm. As a result, it was found that source non-expert had the highest effect on skepticism on ad. Also, platform overflow has a direct effect on the evaluation of the website as well as the negative evaluation of the advertisement. Moreover, this study provides concrete implications for the subdivision market by verifying the differences between the paths according to the level of website involvement.

A design and implementation about the intelligent internet banner advertisement management and analysis system for eCRM (eCRM을 위한 지능형 인터넷 배너 광고 관리 및 분석 시스템의 설계 및 구현)

  • 박남섭;김정범;이윤정;김태윤
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.04a
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    • pp.319-321
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    • 2002
  • eCRM이란 고객 관리 시스템에서 인터넷을 이용해 기존의 시스템을 재구성하는 것을 말한다. eCRM은 고객만족을 극대화 하면서 동시에 관련 비용을 감소시킬 수 있는 새로운 고객관리 개념이라고 할 수 있다. 본 논문은 eCRM의 근간이 될 수 있는 기술로서 인터넷 배너 광고 관리 및 분석 시스템을 제안한다. 즉, 광고를 원활하게 인터넷 사이트 상에 배포하고 광고를 집행한 후에 효과를 과학적으로 정확하게 산출하는 광고 관리와 소비자의 성향을 분석해 광고 분석에 필요한 시스템을 설계 및 구현한다. 또한 단순한 배너 광고의 분석결과만 도출하는 것이 아니라, 분석 자료를 바탕으로 배너 광고를 자동으로 관리 할 수 있는 지능형 시스템을 JSP(Java Server Pages) 기반으로 설계 및 구현한다.

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A design and implement of the intelligent system for internet banner advertisement manage and analysis (인터넷 배너 광고의 관리와 분석을 위한 지능형 시스템의 설계 및 구현)

  • Yoon, Jong-Joon;Lee, Hyun-Soo;Lee, Young-Ran;Lee, Jeong-Bae;Lee, Sam-Ryong
    • Annual Conference of KIPS
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    • 2001.10b
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    • pp.1451-1454
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    • 2001
  • 본 논문은 광고를 원활하게 인터넷 사이트 상에다 배포하고 광고를 집행한 후에 효과를 과학적으로 정확하게 분석하여 소비자의 성향을 정확하게 리포팅 해 주는 광고운영과 분석에 필요한 시스템의 구현을 그 목적으로 한다. 또한 단순한 배너 광고의 분석결과만 도출하는 것이 아니라, 분석 자료를 바탕으로 배너 광고를 자동으로 관리 한 수 있는 지능형 인터넷 광고 분석시스템을 JSP(Java Server rages)로 설계 및 구현하도록 한다.

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A design and implement of Intelligent internet banner advertisement analysis system (지능형 인터넷 배너 광고분석 시스템의 설계 및 구현)

  • Yoon, Jong-Joon;Choi, Jin-Suk;Lee, Hyun-Soo;Lee, Young-Ran;Lee, Jeong-Bae;Lee, Sam-Ryong
    • Annual Conference of KIPS
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    • 2001.04b
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    • pp.1201-1204
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    • 2001
  • 본 논문은 사용자가 인터넷 웹 페이지에 게재된 배너광고를 직접 등록 및 관리할 수 있고, 배너에 대한 분석 결과를 웹을 통해 실시간으로 분석할 수 있는 광고 분석 시스템의 개발을 그 목적으로 한다. 또한 단순한 배너 광고의 분석결과만 도출하는 것이 아니라, 분석 자료를 바탕으로 배너 광고를 자동으로 관리 할 수 있는 지능형 인터넷 광고 분석시스템을 JSP(Java Server Pages)로 설계 및 구현하도록 한다.

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