• 제목/요약/키워드: Keyword Marketing

검색결과 69건 처리시간 0.052초

키워드 기반 블로그 마케팅을 위한 연관 키워드 추천 시스템 (Associated Keyword Recommendation System for Keyword-based Blog Marketing)

  • 최성자;손민영;김영학
    • 정보과학회 컴퓨팅의 실제 논문지
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    • 제22권5호
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    • pp.246-251
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    • 2016
  • 최근에 SNS와 온라인 매체의 영향력이 커지면서 이를 이용한 마케팅에 대한 관심이 증가하고 있다. 블로그 마케팅은 대형 포털 사이트의 키워드 검색 결과에 따라 상위 노출을 함으로서 비교적 저렴한 비용으로 마케팅의 파급효과와 정보 전달력을 높일 수 있다. 그러나 일부 특정 키워드의 검색 결과의 경우 상위에 노출되려는 경쟁이 과열될 수 있기 때문에, 블로그를 상위에 노출하기 위해서는 장기적이고 적극적인 노력이 필요하다. 따라서 본 연구에서는 블로그의 상위 노출 가능성이 높은 연관 키워드 그룹을 추천하는 새로운 방법을 제안한다. 제안된 방법은 먼저 타겟 키워드의 검색 결과에 포함된 블로그 문서들을 수집하여 단어의 빈번도와 위치정보를 고려하여 연관성이 높은 키워드를 추출하고 필터링한다. 다음에 각 연관 키워드를 타겟 키워드와 비교하여 그들의 연관성, 월간 연관 키워드 검색 량, 검색에 포함된 블로그의 개수, 블로그의 평균 작성 일을 고려하여 상위 노출의 가능성이 높은 연관 키워드 그룹을 추천한다. 본 연구에서 실험을 통하여 제안된 방법이 연관성이 높은 키워드 그룹을 추천함을 보인다.

검색 광고 마케팅 서비스 유형 분석과 서비스 품질 개선방안 (Analytical Study on Classification and Service Quality Improvement for Keyword & Blog Advertising Marketing Services)

  • 최윤호;이재원
    • 한국콘텐츠학회논문지
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    • 제15권11호
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    • pp.456-466
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    • 2015
  • 본 연구는 검색포탈의 키워드 검색과 광고주 블로그를 융합적으로 활용하여 바이럴 마케팅을 실행하는 검색광고 마케팅 서비스를 연구의 대상으로 한다. 키워드 검색 결과의 상단에 블로그를 통해 간접광고를 노출하여 소비자를 유인하는 서비스를 운영 중인 회사에 대한 사례조사를 통해서 제공되고 있는 검색광고 마케팅 서비스의 거래 당사자들 간의 거래관계를 중심으로 하는 서비스 유형을 분석하고, 서비스의 품질인식정도와 사용자 그룹간의 인식의 차이를 조사 및 분석하여 운영서비스의 개선방안을 제시함을 목적으로 한다. 수행 방법으로는 검색광고 솔루션을 사용하는 광고 마케팅 커뮤니티의 게시물 분석을 수행하여 서비스 솔루션의 4가지의 유형과 거래관계를 표현하는 4가지 서비스 구조도 유형을 분석하였다. 또한 면접법을 사용한 사전 연구로 설계된 SERVQUAL 기반의 설문조사를 사용하여 광고주와 광고대행사 그룹간 서비스에 대한 품질인식 정도와 차이를 분석하였다. 이를 통해 공론화의 한계를 갖고 있는 검색광고 마케팅 서비스에 대한 사례기업의 개선방안을 제시하였다.

To Bid or Not to Bid? - Keyword Selection in Paid Search Advertising

  • Ma, Yingying;Sun, Luping
    • Asia Marketing Journal
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    • 제16권3호
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    • pp.23-33
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    • 2014
  • The selection of keywords for bidding is a critical component of paid search advertising. When the number of possible keywords is enormous, it becomes difficult to choose the best keywords for advertising and then subsequently to assess their effect. To this end, we propose an ultrahigh dimensional keyword selection approach that not only reduces the dimension for selections, but also generates the top listed keywords for profits. An empirical analysis using a unique panel dataset from a large online clothes retailer that advertises on the largest search engine in China (i.e., Baidu) is presented to illustrate the usefulness of our approach.

키워드 네트워크 분석을 통한 도서관마케팅 연구 경향 분석 - 우리나라와 국외연구의 비교분석 - (A Study on the Library Marketing Research Trends through Keyword Network Analysis: Comparative Analysis of Korea and Other Countries)

  • 이성신
    • 한국문헌정보학회지
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    • 제50권3호
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    • pp.383-402
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    • 2016
  • 본 연구의 목적은 도서관마케팅 관련 국내외 연구의 저자 키워드 네트워크 분석을 통해 도서관마케팅연구의 경향성을 살펴보고 국외 연구와의 비교를 통해 국내 연구가 지니는 특성을 살펴보는데 있다. 분석 대상은 국내의 경우 문헌정보학분야 4대 학회지의 도서관마케팅 관련 연구의 저자 키워드이며 국외의 경우 Scopus데이터베이스에 수록되어 있는 문헌정보학분야의 도서관마케팅 관련 연구의 저자 키워드이다. 수집된 저자 키워드는 NetMiner4 소프트웨어를 활용하여 분석하였다. 분석 결과 1) 국내의 도서관마케팅연구는 주로 공공도서관을 대상으로 한 반면 국외의 경우 대학도서관을 대상으로 한 연구가 상대적으로 많았다, 2) 국내의 경우, 도서관마케팅연구의 주제가 다양화되지 못한 경향이 있으며 일부 소수 학자들의 학문적 관심에 의해 주도되는 경향성이 강하였다, 3) 국외의 경우, 디지털시대에 걸맞은 소셜미디어와 온라인 등을 통한 마케팅적 접근이 활발한 반면 국내의 경우는 이에 대한 관심이 미미하였다, 4) 국내외의 경우 모두 학교도서관에 대한 도서관마케팅연구자들의 관심은 많지 않은 것으로 나타났다.

SNS를 이용한 잠재적 광고 키워드 추출 시스템 설계 및 구현 (Design and Implementation of Potential Advertisement Keyword Extraction System Using SNS)

  • 서현곤;박희완
    • 한국융합학회논문지
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    • 제9권7호
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    • pp.17-24
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    • 2018
  • 빅데이터 처리 분야에서 중요한 이슈 중 하나는 인터넷의 주요 키워드를 추출하고 이것을 이용하여 필요한 정보를 가공하는 것이다. 현재까지 제안된 대부분의 키워드 추출 방법들은 대형 포털 사이트의 검색기능을 기반으로 이미 게시된 글이나 작성된 문서 또는 고정된 내용에 기반하고 있다. 본 논문에서는 SNS에 게시되는 다양한 이슈, 대화, 관심 분야, 의견 등 동적인 메시지를 기반으로 이슈 키워드 및 연관 키워드를 추출하여 잠재적 쇼핑 연관 키워드 광고 마케팅에 도움을 주는 시스템(KAES: Keyword Advertisement Extraction System based on SNS)을 개발한다. KAES 시스템은 특정 계정 리스트를 작성하여 SNS에서 빈도수가 가장 많은 핵심 키워드 및 연관 키워드를 추출한다.

키워드 네트워크 분석을 통한 「패션비즈니스」 연구 동향 -패션마케팅 및 디자인 분야를 중심으로- (Research Trends in Journal of Fashion Business -A Social Network Analysis of Keywords in Fashion Marketing and Design Area-)

  • 이미영;이정민
    • 패션비즈니스
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    • 제23권3호
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    • pp.51-66
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    • 2019
  • The aim of this study is to identify research trends of "Journal of Fashion Business" by analyzing the keyword network of the paper published between 2006 and 2017. The papers selected for analysis in the study were 287 fashion design articles and 281 fashion marketing articles published between February 2006 and December 2017 and titles, volumes, publishing years, authors, keywords, and abstracts of each paper were collected for data analysis. The research was carried out through selection, collection of article data, keyword extraction and coding, keywords refinement, formation of network matrix, and analysis and visualization process. First, based on the title of the paper used in the analysis, the fashion design/aesthetics, marketing/social psychology, clothing materials, clothing composition, and other fields were classified. Research analysis used the Netminer 4 (Ver.4.3.2) program. Results indicated showed that the intellectual structure of the "Fashion Business" research paper showed key word changes over time, and the degree centrality and between centrality of the keywords.

포털사이트, SNS의 빅데이터를 이용한 신화소재의 브랜드 캐릭터와 연관어, 연관도 분석 (A Study on analyzing brand character of myth material, relevant keyword and relevance with big data of portal site and SNS)

  • 오세종;두일철
    • 디지털산업정보학회논문지
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    • 제11권1호
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    • pp.157-169
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    • 2015
  • In digital marketing, means of public relations and marketing of enterprises are changing into marketing techniques of predictive analytics. A significant study can be carried out by an analysis of 'the patterns of customers' uses' using big data on major portal sites and SNSs and their correlation with related keywords. This study analyzes the origins of mythological characters in major brands such as Nike, Hermes, Versace, Canon and Starbucks. Also, it extracts related keywords and relevance using big data on portal sites and SNS and their correlation. Nike marketing that reminds people of 'the goddess of victory, Nike' formed a good combination of the brand with relevance. Most of them are based on Greek mythology and have rich materials for storytelling and artistic values in common. Hopefully, this case analysis of foreign brands would become a starting point of discovering the materials of the domestic mythological characters.

A Study on the Meaning and Strategy of Keyword Advertising Marketing

  • Park, Nam Goo
    • 유통과학연구
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    • 제8권3호
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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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인터넷 검색기록 분석을 통한 쇼핑의도 포함 키워드 자동 추출 기법 (A Methodology for Extracting Shopping-Related Keywords by Analyzing Internet Navigation Patterns)

  • 김민규;김남규;정인환
    • 지능정보연구
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    • 제20권2호
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    • pp.123-136
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    • 2014
  • 최근 온라인 및 다양한 스마트 기기의 사용이 확산됨에 따라 온라인을 통한 쇼핑구매가 더욱 활성화 되었다. 때문에 인터넷 쇼핑몰들은 쇼핑에 관심이 있는 잠재 고객들에게 한 번이라도 더 자사의 링크를 노출시키기 위해 키워드에 비용을 지불할 용의가 있으며, 이러한 추세는 검색 광고 시장의 광고비를 증가시키는 원인을 제공하였다. 이 때 키워드의 가치는 대체로 검색어의 빈도수에 기반을 두어 산정된다. 하지만 포털 사이트에서 검색어로 자주 입력되는 모든 단어가 쇼핑과 관련이 있는 것은 아니며, 이들 키워드 중에는 빈도수는 높지만 쇼핑몰 관점에서는 별로 수익과 관련이 없는 키워드도 다수 존재한다. 그렇기 때문에 특정 키워드가 사용자들에게 많이 노출된다고 해서, 이를 통해 구매가 이루어질 것을 기대하여 해당 키워드에 많은 광고비를 지급하는 것은 매우 비효율적인 방식이다. 따라서 포털 사이트의 빈발 검색어 중 쇼핑몰 관점에서 중요한 키워드를 추출하는 작업이 별도로 요구되며, 이 과정을 빠르고 효과적으로 수행하기 위한 자동화 방법론에 대한 수요가 증가하고 있다. 본 연구에서는 이러한 수요에 부응하기 위해 포털 사이트에 입력된 키워드 중 쇼핑의도를 포함하고 있을 가능성이 높을 것으로 추정되는 키워드만을 자동으로 추출하는 방안을 제시하고, 구체적으로는 전체 검색어 중 검색결과 페이지에서 쇼핑과 관련 된 페이지로 이동한 검색어만을 추출하여 순위를 집계하고, 이 순위를 전체 검색 키워드의 순위와 비교하였다. 국내 최대의 검색 포털인 'N'사에서 이루어진 검색 약 390만 건에 대한 실험결과, 제안 방법론에 의해 추천된 쇼핑의도 포함 키워드가 단순 빈도수 기반의 키워드에 비해 정확도, 재현율, F-Score의 모든 측면에서 상대적으로 우수한 성능을 보이는 것으로 나타남을 확인할 수 있었다.

A Study on the Change of Tourism Marketing Trends through Big Data

  • Se-won Jeon;Gi-Hwan Ryu
    • International journal of advanced smart convergence
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    • 제13권2호
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    • pp.166-171
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    • 2024
  • Recently, there has been an increasing trend in the role of social media in tourism marketing. We analyze changes in tourism marketing trends using tourism marketing keywords through social media networks. The aim is to understand marketing trends based on the analyzed data and effectively create, maintain, and manage customers, as well as efficiently supply tourism products. Data was collected using web data from platforms such as Naver, Google, and Daum through TexTom. The data collection period was set for one year, from December 1, 2022, to December 1, 2023. The collected data, after undergoing refinement, was analyzed as keyword networks based on frequency analysis results. Network visualization and CONCOR analysis were conducted using the Ucinet program. The top words in frequency were 'tourists,' 'promotion,' 'travel,' and 'research.' Clusters were categorized into four: tourism field, tourism products, marketing, and motivation for visits. Through this, it was confirmed that tourism marketing is being conducted in various tourism sectors such as MICE, medical tourism, and conventions. Utilizing digital marketing via online platforms, tourism products are promoted to tourists, and unique tourism products are developed to increase city branding and tourism demand through integrated tourism content. We identify trends in tourism marketing, providing tourists with a positive image and contributing to the activation of local tourism.