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The Effect of Mobile Advertising Platform through Big Data Analytics: Focusing on Advertising, and Media Characteristics
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Seong Deok Bae (Minwise Co., Ltd.)
Do-Hyung Park (College of Management Information Systems / Graduate School of Business IT, Kookmin University)
Vol. 24, No. 2, Page: 37 ~ 57
10.13088/jiis.2018.24.2.037
Keywords
Mobile Advertising, Advertising Effect, Cognitive Fit Theory, Bigdata, Advertisement Platform
Abstract
With the spread of smart phones, interest in mobile media is on the increase as useful media recently.
Mobile media is assessed as having differentiated advantages from existing media in that not only can they provide consumers with desired information anytime and anywhere but also real-time interaction is possible in them. So far, studies on mobile advertising were mostly researches analyzing satisfaction with, and acceptance of, mobile advertising based on survey, researches focusing on the factors affecting acceptance of mobile advertising messages and researches verifying the effect of mobile advertising on brand recall, advertising attitude and brand attitude through experiments. Most of the domestic mobile advertising studies related to advertisement effect and advertisement attitude have been conducted through experiments and surveys. The advertising effectiveness measure of the mobile ad used the attitude of the advertisement, purchase intention, etc. To date, there have been few studies on the effects of mobile advertising on actual advertising data to prove the characteristics of the advertising platform and to prove the relationship between the factors influencing the advertising effect and the factors. In order to explore advertising effect of mobile advertising platform currently commercialized, this study defined advertising characteristics and media characteristics from the perspective of advertiser, advertising platform and publisher and analyzed the influence of each characteristic on advertising effect. As the advertisement characteristics, we classified advertisement format classified by bar type and floating type, and advertisement material classified by image and text. We defined advertisement characteristics of advertisement platform as Hedonic and Utilitarian media characteristics. As a dependent variable, we use CTR, which is the ratio of response (click) to ad exposure. The theoretical background and the analysis of the mobile advertising business, the hypothesis that the advertisement effect is different according to the advertisement specification, the advertisement material, In the ad standard, bar ads are classified as static framing, Floating ads can be categorized as dynamic framing, and the hypothetical definition of floating advertisements, which are high-profile dynamic framing ads, is highly responsive. In advertising, images with high salience are defined to have higher ad response than text. In the media characteristics classified as practical / hedonic type, it is defined that the hedonic type media has a more relaxed tendency than the practical media, and there is a high possibility of receiving various information because there is no clear target. In addition, image material and hedonic media are defined to be highly effective in the interaction between advertisement specification and advertisement material, advertisement specifications and media characteristics, and advertisement material and media characteristics. As the result of regression analysis on each characteristic, material standard, which is a characteristic of mobile advertisement, and media characteristics separated into 'Hedonic' and 'Utilitarian' had significant influence on advertisement effect and mutual interaction effect was also confirmed. In the mobile advertising standard, the advertising effect of the floating advertisement is higher than that of the bar advertisement, Floating ads were more effective than text ads for image ads. In addition, it was confirmed that the advertising effect is higher in the practical media than the hedonic media. The research was carried out with the big data collected from the mobile advertising platform, and it was possible to grasp the advertising effect of the measure index standard which is used in the practical work which could not be grasped in the previous research. In other words, the study was conducted using the CTR, which is a measure of the effectiveness of the advertisement used in the online advertisement and the mobile advertisement, which are not dependent on the attitude of the ad, the attitude of the brand, and the purchase intention. This study suggests that CTR is used as a dependent variable of advertising effect based on actual data of mobile ad platform accumulated over a long period of time. The results of this study is expected to contribute to establishment of optimum advertisement strategy such as creation of advertising materials and planning of media which suit advertised products at the time of mobile advertisement.
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빅데이터 분석을 통한 모바일 광고플랫폼의 광고효과 연구: 광고특성, 매체특성을 중심으로
배성덕 (주식회사 민앤지)
박도형 (국민대학교 경영대학 경영정보학부)
Keywords
모바일 광고, 광고효과, 인지적합 이론, 빅데이터, 광고플랫폼
Abstract
최근 스마트폰의 확산에 힘입어 유용한 광고 매체로서 모바일 미디어에 대한 관심이 증가되고 있다. 모바일미디어는 소비자들에게 언제, 어디서나 원하는 정보를 제공할 수 있을 뿐만 아니라 실시간으로 상호작용이 가능하다는 점에서 기존 광고매체들과는 차별화된 장점을 가진 것으로 평가 받고 있다. 그 동안 모바일 광고 연구들은 모바일 광고에 대한 만족도, 수용도 등을 서베이를 토대로 분석한 연구와 모바일 광고 메시지 수신에 영향을 미치는 요인을 중점적으로 탐구한 연구, 실험연구를 통해서 모바일 광고가 브랜드 회상, 광고태도, 브랜드태도 등에 미치는 영향을 검증하는 연구들이 많이 진행되었다. 그러나 실증데이터를 통한 연구는 거의 진행되지 않았다. 본 연구에서는 상용서비스 중인 모바일 광고플랫폼을 기반으로 광고효과를 알아보기 위하여 광고주, 광고플랫폼, 퍼블리셔 관점에서 광고특성, 매체특성을 정의하고 각 특성이 광고효과에 미치는 영향을 분석하였다. 각 특성에 대한 회귀분석 결과 모바일 광고의 광고특성인 광고규격과 쾌락적, 실용적으로 구별한 매체특성이 광고효과에 유의미한 결과를 나타냈으며, 서로간의 상호작용 효과도 확인하였다. 연구결과를 통하여 모바일 광고 업무 시 광고상품에 맞는 광고소재 제작 및 매체계획 등 광고효과에 최적화된 광고전략 수립에 기여할 것으로 보인다.
Cite this article
JIIS Style
Bae, S. D. ., and D.-H. Park, "The Effect of Mobile Advertising Platform through Big Data Analytics: Focusing on Advertising, and Media Characteristics", Journal of Intelligence and Information Systems, Vol. 24, No. 2 (2018), 37~57.

IEEE Style
Seong Deok Bae, and Do-Hyung Park, "The Effect of Mobile Advertising Platform through Big Data Analytics: Focusing on Advertising, and Media Characteristics", Journal of Intelligence and Information Systems, vol. 24, no. 2, pp. 37~57, 2018.

ACM Style
Bae, S. D. ., and Park, D.-H., 2018. The Effect of Mobile Advertising Platform through Big Data Analytics: Focusing on Advertising, and Media Characteristics. Journal of Intelligence and Information Systems. 24, 2, 37--57.
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@article{Bae:JIIS:2018:725,
author = {Bae, Seong Deok and Park, Do-Hyung},
title = {The Effect of Mobile Advertising Platform through Big Data Analytics: Focusing on Advertising, and Media Characteristics},
journal = {Journal of Intelligence and Information Systems},
issue_date = {June 2018},
volume = {24},
number = {2},
month = Jun,
year = {2018},
issn = {2288-4866},
pages = {37--57},
url = {http://dx.doi.org/10.13088/jiis.2018.24.2.037 },
doi = {10.13088/jiis.2018.24.2.037},
publisher = {Korea Intelligent Information System Society},
address = {Seoul, Republic of Korea},
keywords = { Mobile Advertising, Advertising Effect, Cognitive Fit Theory, Bigdata and Advertisement Platform
},
}
%0 Journal Article
%1 725
%A Seong Deok Bae
%A Do-Hyung Park
%T The Effect of Mobile Advertising Platform through Big Data Analytics: Focusing on Advertising, and Media Characteristics
%J Journal of Intelligence and Information Systems
%@ 2288-4866
%V 24
%N 2
%P 37-57
%D 2018
%R 10.13088/jiis.2018.24.2.037
%I Korea Intelligent Information System Society