• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.456-466
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• 2015

This study is focusing to the keyword and blog advertising marketing services that are implementing a viral marketing utilizing keyword searches of the search portal and advertiser's blogs with convergent way. Through a case study for the company operating the service to pinpoint consumers to the advertisers site by indirect exposure via keyword advertising blog at the top of the search results, we analyzed the primitive service operation model on transactional relationship between the business players. We have a research purpose to generate improvement alternatives for the company's keyword advertising marketing services and operation solution using the survey study on the service quality perception and the perceptional gap between user groups. As results of study, we founded 4 types of the service solution and 4 models of service operating architecture on the transactional relations, and we recommended some improvements on the service and solution operation based on the SERVQUAL questionnaire analysis of the difference between the ads sponsor group and ads agency group.

• 한국벤처창업학회:학술대회논문집
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• 2018.11a
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• pp.93-96
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• 2018

통계청 자료에 따르면 지난해 자영업 폐업률은 전년 대비 10.2% 포인트 높은 87.9%를 기록했다. 자영업 4개 업종인 도소매업, 음식, 숙박업은 지난해 48만 3985개가 새로 생겼으며 반면 42만 5203개가 문을 닫았다. 2018년 8월 통계청 자료에 따르면 온라인쇼핑 거래액은 전년 동월 대비 19.6% 증가했고, 모바일쇼핑 거래액도 모바일 이용 확산과 간편 결제 서비스 발전 등에 힘입어 전년 동월 대비 29.7% 증가하였다. 본 연구에서는 소매업인 온라인 쇼핑몰은 매년 20%대의 성장률을 보이고 있는 점에 주목해서 온라인 쇼핑몰의 매출 성과와 연관이 있는 방문 의도에 미치는 변수를 연구하고자 한다. 해마다 판매자가 증가하고 있는 온라인 쇼핑몰 업계는 치열한 경쟁과 늘어나는 마케팅 비용을 감당하지 못해 폐업의 수순을 밟고 있는 경우가 많다. 온라인쇼핑 운영자들이 하고 있는 대표적인 마케팅 방법인 블로그, 키워드 검색광고, SNS 채널 마케팅이 온라인 쇼핑몰의 방문 의도에 얼마나 영향을 미치고 있는지 연구 조사하고자 한다. 특히 온라인 쇼핑몰에 방문하는 사람들의 개인적 특성인 충동구매 성향, 다양성 추구 성향, 자기조절 성향을 조절 변수로 하여 개인 성향에 따라 각 독립변수들과의 방문 의도 상관관계를 알아보려 한다. 독립변수들이 방문 의도와의 관계를 실증 분석하여 온라인쇼핑몰의 준비하는 예비창업자나 기창업자들에게 보다 지속적인 기업성장과 매출성과에 도움이 되고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.124-126
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• 2004

인터넷 광고 시장의 급속한 성장과 함께 보다 효율적인 광고기법을 개발하기 위한 노력들이 이루어지고 있는 가운데 최근 들어 검색엔진의 특성을 이용한 키워드 광고가 주목을 받고 있다. 키워드 광고란 사용자가 입력한 검색어와 유사한 범주에 속하는 사이트의 광고를 검색 결과 페이지 상단에 보여주는 것을 말한다. 그러나, 키워드 광고는 키워드를 판매할 수 있는 위치가 한정적이기 때문에 판매 가능성이 있는 키워드에 대한 관리 및 판매 전략이 요구된다. 본 논문에서는 판매 가능성이 있는 키워드에 대한 관리 전략 수립을 위하여 연관 키워드 그룹을 자동으로 추출하는 기법을 제안한다. 연관 키워드 그룹의 생성은 사용자가 입력한 검색어에 의해 노출되는 사이트들을 묶어 그룹으로 형성하고 사이트 그룹의 중요 키워드를 추출한 다음 키워드간의 연관성을 판단하는 과정으로 이루어진다. 본 논문에서는 연관 키워드 그룹 추출의 각 단계를 구체적으로 설명하고 실험 결과를 분석한다. 마지막으로 연구의 결론과 향후 연구 과제에 대하여 기술한다.

• 한국벤처창업학회:학술대회논문집
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• 2018.11a
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• pp.97-101
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• 2018

우리나라 폐업의 대부분을 차지하고 있는 소상공인들은 서비스 또는 제품의 노출 부족으로 운영에 어려움을 겪고 있고 이는 높은 폐업율로 이어지고 있다. 상대적으로 규모가 작은 소상공인들은 비용, 시간, 인력 등의 문제로 활발한 마케팅 활동을 펼치지 못하고, 지역적인 상권내에서 전통적인 오프라인 영업에 의존하고 있는 실정이다. 현재 우리나라 검색 시장의 대부분을 차지하고 있는 네이버와 구글의 경우 소규모 사업자들이 적극적으로 온라인 마케팅을 펼칠수 있도록 자신들의 검색엔진최적화 가이드를 만들어서 제공하고 무료 교육도 실시하고 있으며, 각종 SNS 서비스 제공 회사들도 자사의 서비스 확대나 광고 수익을 올리기 위해 자세한 매뉴얼을 제공하고 있음에도 여전히 많은 소상공인들은 온라인 마케팅 채널 운영과 검색엔진최적화를 하지 못해 자신의 서비스나 상품을 잘 노출시키지 못하고 있다. 이에 본 연구는 서비스업 소상공인의 배경적 특성과 기술지향성이 온라인 마케팅 채널 운영과 검색 엔진 최적화라는 조절변수를 거쳐 경영성과에 어떤 영향을 미치는지를 분석하고 이를 통해 서비스업 소상공인들의 매출 증대를 위한 온라인 마케팅 확산에 도움이 되고자 한다.

• The Journal of Society for e-Business Studies
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• v.16 no.4
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• pp.139-154
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• 2011

Recently Internet keyword search service providers tends to use CPC advertizement method rather than CPM method. However researches how much the CPC method is beneficial to advertisers than CPM method in certain perspectives are insufficient and not performed systematically. So this paper tries to do comparative analysis about the two methods by analyzing the real transactional DB data from an advertizement agency. Due to the difficulties of direct comparison between the two methods because of their different expose positions on the Web and different types of attributes in DB, we did some preprocessing step for the transactional data. From the result of analysis, the click rate of CPC is higher than CPM by 1.3% and the unit cost for the CPC per one click is lower than CPM method by 51 Won. It shows the CPC method is more effective than CPM method for advertizement from the point of advertizement effectiveness (CTR) and advertizement cost (CPC). We hope this research would give useful information to advertisers and marketing managers in making advertizement strategy, marketing decision and budgeting.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.119-133
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• 2012

Recent rise of social media channel is changing social and economic paradigm and is being used as an effective communication in marketing. The following research analyzes the most employed social marketing tools such as portal advertisement, blogs, and SNS channels to effectively execute social media marketing from performance indicator and ICSI perspective, analyzes each channel's characteristics and results based on Korea distribution companies' case studies and suggests a framework to effectively use each channel. Portal site advertisements are the most effective channel to draw customers with new information and are thus linked to profit by corporations with excessive budget and workforce. Blogs target a specific range of customers providing quality information and knowledge thus improving a corporation's and its product's trustworthiness, spread the word by allowing customers to scrap the information, form social groups and synthesize ideas, events, new contents and social involvement with loyal customers. SNS channels allow customers to get involved in real time information and events, grow through network by the power of customers, react immediately to customers' needs, and execute real-time market and customer reports. Though national corporations currently rely heavily on portal site advertisements, insightful marketing professionals are showing financial results with blog and SNS. In the future, based on a precise understanding of each channel's benefits and expected results, and with a focus on flexibility, timeliness and integrated use of each channel, a portfolio of dynamic marketing as a maximizing strategy could be synthesized.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.195-205
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• 2020

As the use of the Internet has become more common worldwide, digital marketing has gained a great weight as an advertising medium. Low cost and effective digital marketing tools include websites, eyes, blogs, search advertisements, online banners, mailings, YouTube, etc., which most companies around the world use one or more of them for digital marketing. I have. In this environment, global companies with more than one overseas subsidiary have become very interested in how to establish and implement digital marketing strategies. However, many studies have been conducted on the necessity of digital marketing and its implementation strategy, but there are no studies on specific implementation methods that can be applied in practice. Therefore, in this study, we intend to define digital marketing suitable for global SMEs, establish a promotion strategy model, and present a specific implementation strategy establishment planl. Through this, we intend to contribute to establishing a general-purpose SME global digital marketing strategy.

• Journal of Global Scholars of Marketing Science
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• v.7
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• pp.127-146
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• 2001

Attitude toward the advertising is widely used in studies of traditional mass media advertising. As internet marketing becomes more important, attitude toward the website will gain parallel status in evaluating effectiveness. And also, studies on relationship among attitude toward the website, attitude toward the advertising, attention to the commercial, attitude toward the brand, & purchase intention was needed. This study sets a hypothetical model about the relationship among attitude toward the website, attitude toward the advertising, attention to the commercial, attitude toward the brand, & purchase intention. And to testify this model, 10 hypotheses were set. The results of the analysis, all variables were related significantly.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.1-8
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• 2019

Recently, consumer distrust has deepened due to blog posts focusing only on public relations due to 'viral marketing'. In addition, marketing projects such as false writing or exaggerated use of the latter phase are one of the most popular programs in 2016 as they are cheaper and more effective than newspaper and TV ads, and the size of advertising costs is set to be a major means of advertising at '3 trillion 394.1 billion won. From this 'viral marketing,' it has become an Internet environment that needs tools to filter information. The fake review filtering application ADDAVICHI presented in this paper extracts, analyzes, and presents blog keywords, total number of searches, reliability and satisfaction when users search for content such as "event" and "taste restaurant." Reliability shows the number of ad posts on a blog, the total number of posts, and satisfaction shows a clean post with confidence divided into positive and negative posts. Finally, the keyword shows a list of the top three words in the review from a positive post. In this way, it helps users interpret information away from advertising.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.1-8
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• 2020

In recent years, due to the exponential increase in internet data, many fields such as deep learning have developed, but side effects generated as commercial advertisements, such as viral marketing, have been discovered. This not only damages the essence of the internet for sharing high-quality information, but also causes problems that increase users' search times to acquire high-quality information. In this study, we define advertisement as "a text that obscures the essence of information transmission" and we propose a model for filtering information according to that definition. The proposed model consists of advertisement filtering and advertisement filtering performance improvement and is designed to continuously improve performance. We collected data for filtering advertisements and learned document classification using KorBERT. Experiments were conducted to verify the performance of this model. For data combining five topics, accuracy and precision were 89.2% and 84.3%, respectively. High performance was confirmed, even if atypical characteristics of advertisements are considered. This approach is expected to reduce wasted time and fatigue in searching for information, because our model effectively delivers high-quality information to users through a process of determining and filtering advertisement paragraphs.