DOI QR코드

DOI QR Code

Developing the Purchase Conversion Model of the Keyword Advertising Based on the Individual Search

개인검색기반 키워드광고 구매전환모형 개발

  • 이동일 (세종대학교 경영학과) ;
  • 김현교 (세종대학교 유통프랜차이즈 연구소)
  • Received : 2012.09.12
  • Accepted : 2012.10.19
  • Published : 2013.03.31

Abstract

Keyword advertising has been used as a promotion tool rather than the advertising itself to online retailers. This is because the online retailer expects the direct sales increase when they deploy the keyword sponsorship. In practice, many online sellers rely on keyword advertising to promote their sales in short term with limited budget. Most of the previous researches use direct revenue factors as dependent variables such as CTR (click through rate) and CVI (conversion per impression) in their researches on the keyword advertising[14, 16, 22, 25, 31, 32]. Previous studies were, however, conducted in the context of aggregate-level due to the limitations on the data availability. These researches cannot evaluate the performance of keyword advertising in the individual level. To overcome these limitations, our research focuses on conversion of keyword advertising in individual-level. Also, we consider manageable factors as independent variables in terms of online retailers (the costs of keyword by implementation methods and meanings of keyword). In our study we developed the keyword advertising conversion model in the individual-level. With our model, we can make some theoretical findings and managerial implications. Practically, in the case of a fixed cost plan, an increase of the number of clicks is revealed as an effective way. However, higher average CPC is not significantly effective in increasing probability of purchase conversion. When this type (fixed cost plan) of implementation could not generate a lot of clicks, it cannot significantly increase the probability of purchase choice. Theoretically, we consider the promotional attributes which influence consumer purchase behavior and conduct individuals-level research based on the actual data. Limitations and future direction of the study are discussed.

Keywords

References

  1. 김도연, 임규건, 이대철, "키워드 검색 광고 운영 DB 데이터 분석을 통한 CPM과 CPC방식의 광고효과 연구", 한국전자거래학회지 , 제16권, 제4호(2011), pp.139-153.
  2. 김동주, 신승도, "디지털 멀티미디어 방송의 선호 콘텐츠 및 타 매체 이용 특성에 따른 이용의향 요인 분석", 경영과학 , 제25권, 제1호(2008), pp.123-138
  3. 김소은, "여행사 오버추어 광고 활용", 관광연구논총 , 제17권(2005), pp.91-105.
  4. 김재휘, 김지호, 김용환, "인터넷 검색 사이트의 키워드 광고효과 연구", 광고학연구 , 제13권, 제4호(2002), pp.91-109.
  5. 네이버, 네이버 키워드광고 바로알기 , 네이버, 2012.
  6. 박시사, "한국 여행업의 해외 여행상품 인터넷키워드 검색광고 분석", 관광 레저연구 , 제20권, 제4호(2008), pp.355-371.
  7. 박윤서, "소비자 특성이 무선인터넷 이용에 미치는 영향에 관한 연구", 경영과학 , 제20권, 제2호(2003), pp.61-80.
  8. 박해철, "쿠폰의 유효기간이 소비자의 구매행태에 미치는 영향 : 시장에서 3개 이상의 브랜드가 있는 상황", 한국경영과학학회지 , 제30권, 제2호(2005), pp.13-27.
  9. 서보성, 키워드광고 이기는 전략 , 개정판 2판, e비즈북스, 2011.
  10. 임혜진, "키워드 검색광고의 활용방안에 관한 연구," 한국일러스트학회 , 제13권(2003), pp. 141-152.
  11. 장택원, "인터넷 검색형 광고의 효과의 위계에 대한 연구," 인터넷전자상거래연구 , 제9권 제1호(2009), pp.197-213.
  12. 조지훈, 박찬수, "키워드 검색의 판매 효과에 관한 2단계 모형", 한국마케팅저널 , 제9권 제4호 (2008), pp.213-244.
  13. ZDNet Korea, 옥션-G마켓, 네이버에 백기투항? , ZDNet Korea, 2011. 04. 26.
  14. Agarwal, A., K. Hosanagar, and M.D. Smith, "Location, Location, Location : An Analysis of Profitability of Position in Online Advertising Markets," Journal of Marketing Research, Vol.48(2008), pp.1057-1073.
  15. Balttberg, R.C. and S.A. Neslin, Sales Promotion : Concept, Methods, and Strategies, Prentice Hall, New Jersey, 1990.
  16. Chen, J., D. Liu, and A.B. Whinston, "Auctioning Keywords in Online Search," Journal of Marketing," Vol.73, No.4(2009), pp.125-141. https://doi.org/10.1509/jmkg.73.4.125
  17. David, C., E. Dave, M. Susan, and J.V. Ole, The Consumer Decision Journey, McKinsey Qarterly, (2009).
  18. Davis, P.M. and L.R. Solla, "An IP-level Analy sis of Usage Statistics for Electronic Journ als in Chemistry : Making Inferences about User Behavior," Journal of the American So ciety for Information Science and Technology, Vol.54, No.11(2003), pp.1062-1068. https://doi.org/10.1002/asi.10302
  19. Demangeot, C. and A.J. Broderick, "Exploration and Its Manifestations in The Context of Online Shopping," Journal of Marketing Management, Vol.26, No.13-14(2010), pp.1256-1278. https://doi.org/10.1080/0267257X.2010.524165
  20. Dou, W., K.H. Lim, C. Su, N. Zhou, and N. Cui, "Brand Positioning Strategy Using Search Engine Marketing," MIS Quarterly, Vol.34, No.2(2010), pp.261-279.
  21. Fain, D.C. and J.O. Pedersen, "Sponsored Search : A Brief History," Bulletin of the American Society for Information Science and Technology, Vol.32, No.2(2006), pp.12-13.
  22. Feldman, J., S. Muthukrishnan, M. Pal, and C. Stein, "Budget Optimization in Search-Based Advertising Auctions," Arxiv preprint cs/06 12052, (2006).
  23. Fruchter, G.E. and W. Dou, "Optimal Budget Allocation Over Time for Keyword Ads in Web Portals," Journal of optimization theory and applications, Vol.124, No.1(2005), pp.157- 174. https://doi.org/10.1007/s10957-004-6470-0
  24. Geddes, B., Advanced Google AdWords, Wiley, Indianapolis, 2010.
  25. Ghose, A. and S. Yang, "An Empirical Analysis of Search Engine Advertising : Sponsored Search in Electronic Markets," Management Science, Vol.55, No.10(2009), pp.1605-1622.
  26. Guadagni, P.M. and J.D.C. Little, "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, Vol.2, No.3(1983), pp.203-238. https://doi.org/10.1287/mksc.2.3.203
  27. Jansen, B.J. and T. Mullen, "Sponsored Search : An Overview of The Concept, History, and Technology," International Journal of Electronic Business, Vol.6, No.2(2008), pp.114-131. https://doi.org/10.1504/IJEB.2008.018068
  28. Kitts, Brendan, Parameshvyas Laxminarayan, Benjamin LeBlanc, and R. Meech, "A Formal Analysis of Search Auctions Including Predictions on Click Fraud and Bidding Tactics," in Proceedings of the 7th ACM Conference on Electronic Commerce. New York : Association for Computing Machinery, (2005).
  29. Lin, C.C. and C.C. Tsai, "A Navigation Flow Map Method of Representing Students' Searching Behaviors and Strategies on the Web, with Relation to Searching Outcomes," Cyber Psychology and Behavior, Vol.10, No.5(2007), pp.689-695. https://doi.org/10.1089/cpb.2007.9969
  30. Manchanda, P., J.P. Dubé, K.Y. Goh, and P.K. Chintagunta, "The Effect of Banner Advertising on Internet Purchasing," Journal of Marketing Research, Vol.43, No.1(2006), pp.98-108. https://doi.org/10.1509/jmkr.43.1.98
  31. Ozluk, O. and S. Cholette, "Allocating Expenditures Across Keywords in Search Advertising," Journal of Revenue and Pricing Management, Vol.6, No.4(2007), pp.347-356. https://doi.org/10.1057/palgrave.rpm.5160110
  32. Richardson, M., E. Dominowska, and Ragno, R., "Predicting Clicks : Estimating The Clickthrough Rate for New Ads," Proceedings of the 16th International World Wide Web Conference(WWW-2007), (2007).
  33. Rutz, O. and R.E. Bucklin, "From Generic to Branded : A Model of Spillover Dynamics in Paid Search Advertising," Journal of Marketing Research, Vol.48, No.1(2011), pp.87-102. https://doi.org/10.1509/jmkr.48.1.87
  34. Rutz, O., M. Trusov, and R.E. Bucklin, "Modeling Indirect Effects of Paid Search Advertising : Which Keywords Lead to More Future Visits," Marketing Science, Vol.30, No.4(2011), pp.646-665. https://doi.org/10.1287/mksc.1110.0635
  35. S. Muthukrishnan, Martin Pál and Zoya Svitkina, "Stochastic Models for Budget Optimization in Search-Based Advertising" Internet and Network Economics, Vol.4858(2007), pp.131-142. https://doi.org/10.1007/978-3-540-77105-0_15
  36. Silva-Risso, J. and I. Ionova, "A Nested Logit Model of Product and Transaction-type Choice for Planning Automakers' Pricing and Promotions," Marketing Science, Vol.27, No.4(2008), pp.545-566. https://doi.org/10.1287/mksc.1080.0374
  37. Swaminathan, S. and K. Bawa, "Categoryspecific Coupon Proneness : The Impact of Individual Characteristics and Category-specific Variables," Journal of Retailing, Vol.81, No.3(2005), pp.205-214. https://doi.org/10.1016/j.jretai.2005.07.004

Cited by

  1. A Methodology for Extracting Shopping-Related Keywords by Analyzing Internet Navigation Patterns vol.20, pp.2, 2014, https://doi.org/10.13088/jiis.2014.20.2.123