Journal of Intelligence and Information Systems (지능정보연구)

Korea Intelligent Information System Society (한국지능정보시스템학회)
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Design and Analysis of Online Advertising Expenditure Model based on Coupon Download

쿠폰 다운로드를 기준으로 하는 온라인 광고비 모델의 설계 및 분석

  • Jun, Jung-Ho (School of Business & Management Research Institute, Kyung Hee University) ;
  • Lee, Kyoung-Jun (School of Business & Management Research Institute, Kyung Hee University)
  • 전정호 (경희대학교 경영대학 & 경영연구원) ;
  • 이경전 (경희대학교 경영대학 & 경영연구원)
  • Received : 2010.10.27
  • Accepted : 2010.11.03
  • Published : 2010.12.31
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Abstract

In offline environment, unlike traditional advertising model through TV, newspaper, and radio, online advertising model draws instantaneous responses from potential consumers and it is convenient to assess. This kind of characteristics of Internet advertising model has driven the growth of advertising model among various Internet business models. There are, conventionally classified, CPM (Cost Per Mile), CPC (Cost Per Click), and CPS (Cost Per Sales) models as Internet advertising expenditure model. These can be examined in manners regarding risks that stakeholders should stand and degree of responsibility. CPM model that is based on number of advertisement exposure is mechanically exposed to users but not actually recognized by users resulting in risk of wasted expenditure by advertisers without any advertising effect. While on aspect of media, CPS model that is based on conversion action is the most risky model because of the conversion action such as product purchase is determined by capability of advertisers not that of media. In this regard, while there are issue of CPM and CPS models disadvantageously affecting only one side of Internet advertising business model value network, CPC model has been evaluated as reasonable both to advertisers and media, and occupied the largest segment of Internet advertising market. However, CPC model also can cause fraudulent behavior such as click fraud because of the competition or dishonest amount of advertising expenditure. On the user aspect, unintentionally accessed advertisements can lead to more inappropriate expenditure from advertisers. In this paper, we suggest "CPCD"(Cost Per Coupon Download) model. This goes beyond simple clicking of advertisements and advertising expenditure is exerted when users download a coupon from advertisers, which is a concept in between CPC and CPS models. To achieve the purpose, we describe the scenario of advertiser perspective, processes, participants and their benefits of CPCD model. Especially, we suggest the new value in online coupon; "possibility of storage" and "complement for delivery to the target group". We also analyze the working condition for advertiser by a comparison of CPC and CPCD models through advertising expenditure simulation. The result of simulation implies that the CPCD model suits more properly to advertisers with medium-low price products rather than that of high priced goods. This denotes that since most of advertisers in CPC model are dealing with medium-low priced products, the result is very interesting. At last, we contemplate applicability of CPCD model in ubiquitous environment.

기존의 인터넷 광고비 모델에는 CPM (Cost Per Mile), CPC (Cost Per Click), CPS (Cost Per Sales) 등이 존재하며, 특히 CPC 모델은 광고주와 미디어에게 모두 합리적이라는 평가를 받으며, 인터넷 광고 시장에서 높은 비중을 차지하고 있다. 그러나 CPC 모델 또한, 경쟁 사업자에 의한 과도한 광고비 부과나 부정한 광고 수익 등을 목적으로 하는 부정 행위가 발생할 수 있고, 사용자의 전환 의도 없는 광고물 클릭으로 인해 광고주에게 부당한 광고비가 부과될 수 있는 것이 사실이다. 이에 본 연구에서는 새로운 광고비 모델인 'CPCD' (Cost Per Coupon Download) 모델을 제안한다. CPCD 모델은 사용자가 단순히 광고물을 클릭하는 행동을 넘어 광고주가 제공하는 쿠폰을 다운로드 받았을 때 광고비가 부과되는 모델로서, CPC 모델과 CPS 모델의 중간 개념이라고 할 수 있다. 본 연구에서는 CPCD 모델의 설계 및 분석을 위하여 발생 가능한 시나리오를 제시하고, 프로세스 분석 및 관련 이슈에 대한 검토를 수행한다. 그리고 CPCD 모델에 참여하는 각 사업 참여자들에 대한 분석을 수행하고, 비용 시뮬레이션을 통해 CPC 모델과 CPCD 모델을 비교함으로써, CPCD 모델에 참여하는 광고주의 사업 참여 조건을 밝히며, 마지막으로 유비쿼터스 환경에서 CPCD 모델의 적용 가능성에 대하여 고찰한다.

Keywords

References

  1. Bawa, K. and R. W. Shoemaker, "Analyzing Incremental Sales from a Direct Mail Coupon Promotion", The Journal of Marketing, Vol.53, No.3(1989), 66-78. https://doi.org/10.2307/1251343
  2. Belch, G. and M. Belch, Advertising and Promotion : An Integrated Marketing Communications Perspective, 8th Edition, McGrawHill/Irwin, (2008).
  3. Blattberg, R. C. and S. A. Neslin, Sales Promotion : Concept, Methods, and Strategies, Prentice Hall, (1990).
  4. Bloch, M. and D. Eroshenko, How To Defend Your Website Against Click Fraud. White Paper, Clicklab, (2004).
  5. Block, T. B. and W. A. Robinson, Sales Promotion Handbook, 8th Edition,The Dartnell Corporation, (1994).
  6. Buckinx, W., E. Moons, D. V. Poel, and G. Wets, G. "Customer-adapted coupon targeting using feature selection", Expert Systems with Applications, Vol.26, No.4(2004), 509-518. https://doi.org/10.1016/j.eswa.2003.10.009
  7. Chang, Y. and K. Lee, "A comparison shopping optimization model based on suppliers' pricing contexts", Expert Systems with Applications, Vol.37, No.8(2010), 5736-5744. https://doi.org/10.1016/j.eswa.2010.02.036
  8. Cheng, H. K. and K. Dogan, "Customer-centric Marketing with Internet Coupons", Decision Support Systems, Vol.44, No.3(2008), 606-620. https://doi.org/10.1016/j.dss.2007.09.001
  9. Dreze, X. and F. Hussherr, "Internet Advertising: Is Anybody Watching?", Journal of Interactive Marketing, Vol.17, No.4(2003), 8-16. https://doi.org/10.1002/dir.10063
  10. Google, GOOGLE ANNOUNCES SECOND QUARTER 2010 RESULTS, (2010).
  11. Hoffman, D. L. and T. P. Novak, "How to Acquire Customers in the Web", Harvard Business Review, Vol.78, No.3(2000a), 179-188.
  12. Hoffman, D. L. and T. P. Novak, "Advertising Pricing Models for the World Wide Web", The Economics of Digital Information and Intellectual Property (2000b), MIT Press, 45-61.
  13. Jayasingh, S. and U. C. Eze, "An Empirical Analysis of Consumer Behavior Intention Toward Mobile Coupons in Malaysia", International Journal of Business and Information, Vol.4, No.2(2009), 221-242.
  14. Juels, A., S. Stamm, and M. Jakobsson, "Combating Click Fraud via Premium Clicks", In Proceedings of the 16th USENIX Security Symposium, (2007), Boston, USA, 17-26.
  15. Jun, J., K. Lee, and S. Eun, "Design and Analysis of Ubiquitous Exhibition Space Business Model using ZigBee and Mobile RFID", In Proceedings of the 2009 Spring MIS Joint Conference, (2009), Seoul, Korea (in Korean).
  16. Kent, P. and J. Finlayson, Google AdWords and Other Pay Per Click Programs : Part 2 (2006. 07. 23), Online Get : http://auctionbytes.com/cab/a bu/y206/m07/abu0171/s04.
  17. Kotler, P. and K. L. Keller, Marketing Management, 12th Edition, Prentice Hall, (2006).
  18. Kumar, M., A. Rangachari, A. Jhingran, and R. Mohan, "Sales Promotions on the Internet", In Proceedings of the 3rd USENIX Workshop on Electronic Commerce, (1998), Boston, USA, 167-176.
  19. Lam, S. Y., M. Vandenbosch, J. Hulland, and M. Pearce, "Evaluating Promotions in Shopping Environments : Decomposing Sales Response into Attraction, Conversion, and Spending Effects", Marketing Science, Vol.20, No.2 (2001), 194-215. https://doi.org/10.1287/mksc.20.2.194.10192
  20. Lee, K., J. Jun, and J. Lee, "Design of Advertising Business Model using Mobile RFID : Focusing on Tag Match Advertising", In Proceedings of the 2007 Fall KORMS Conference (2007), Seoul, Korea (in Korean).
  21. Lee, K. and J. Jun, "Knowledge as Marketing Message", In Proceedings of the 2008 Spring KMIS Conference (2008), Seoul, Korea (in Korean).
  22. Levedahl, W. J., "Profit maximizing pricing of cents off coupons : Promotion or price discrimination", Quarterly Journal of Business and Economics, Vol.25, No.4(1986), 56-70.
  23. Magretta, J., "Why Business Models Matter", Harvard Business Review, Vol.80, No.5(2002), 86-92.
  24. Mahadevan, B., "Business Models for Internet- Based e-Commerce", California Management Review, Vol.42, No.4(2000), 55-69. https://doi.org/10.2307/41166053
  25. Montgomery, A. L., "Applying Quantitative Marketing Techniques to the Internet", Interface, Vol.31, No.2(2001), 90-108. https://doi.org/10.1287/inte.31.2.90.10630
  26. Moraga-Gonzalez, J. L. and E. Petrakis, "Coupon Advertising Under Imperfect Price Information", Journal of Economics and Management Strategy, Vol.8, No.4(1999), 523-544. https://doi.org/10.1162/105864099567749
  27. Naik, P. A., M. K. Mantrala, and A. G. Sawyer, "Planning Media Schedules in the Presence of Dynamic Advertising Quality", Marketing Science, Vol.17, No.3(1998), 214-235. https://doi.org/10.1287/mksc.17.3.214
  28. Park, A. and K. Lee, "Design and Evaluation of U-Publication : Tag-Embedded Publication System and Business Model", Journal of Intelligence and Information Systems, Vol. 14, No.3(2008), 41-57 (in Korean).
  29. Perry, R. and A. Whittaker, Understanding Viral Marketing in a Week, Hodder Arnold, 2002.
  30. Ramaraj, P. and W. Suzanna A, "Impact of Online Consumer Characteristics on Web-Based Banner Advertising Effectiveness", Global Journal of Flexible Systems Management, Vol.4, No.1-2(2003), 15-25.
  31. Ribero-Neto, B., M. Cristo, P. B. Golgher, and E. S. Moura, "Impedance Coupling in Content-targeted Advertising", In Proceedings of the 28th Annual International ACM SIGIR '05(2005), Salvador, Brazil, 496-503.
  32. Richardson, M. and P. Domingos, "Mining Knowledge-sharing Sites for Viral Marketing", In Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2002), Alberta, Canada, 61-70.
  33. Rossi, P. E., R. E. McCulloch, and G. M. Allenby, "The Value of Purchase History Data in Target Marketing", Marketing Science, Vol.15, No.4(1996), 321-340. https://doi.org/10.1287/mksc.15.4.321
  34. Scharl, A., A. Dickinger, and J. Murphy, "Diffusion and Success Factors of Mobile Marketing", Electronic Commerce Research and Applications, Vol.4, No.2(2005), 159-173. https://doi.org/10.1016/j.elerap.2004.10.006
  35. Schultz, D. E., W. A. Robinson, and L. A. Petrison, Sales Promotion Essentials : The 10 Basic Sales Promotion Techniques ... and How to Use Them, 3rd Edition, McGraw-Hill, (1998).
  36. Silk, A. J., L. R. Klein, and E. R. Berndt, "The Emerging Position of the Internet as an Advertising Medium", Netnomics, Vol.3, No.2(2001), 129-148. https://doi.org/10.1023/A:1011455329830
  37. Simon, H., "ADPULS : An Advertising Model with Wearout and Pulsation", Journal of Marketing Research, Vol.19, No.3(1982), 352-363. https://doi.org/10.2307/3151569
  38. Suri, R., S. Swaminathan, and K. B. Monroe, "Price Communications in Online and Print Coupons : An Empirical Investigation", Journal of Interactive Marketing, Vol.18, No.4(2004), 74-86. https://doi.org/10.1002/dir.20023
  39. Swaminathan, S. and K. Bawa, "Category- Specific Coupon Proneness : The Impact of Individual Characteristics and Category-Specific Variables", Journal of Retailing, Vol.81, No.3(2005), 205-214. https://doi.org/10.1016/j.jretai.2005.07.004
  40. Taylor, G. A., "Coupon Response in Services", Journal of Retaining, Vol.77, No.1(2001), 139-151. https://doi.org/10.1016/S0022-4359(00)00042-7
  41. Timmers, P., "Business Model for Electronic Markets", Electronic Markets, Vol.8, No.2(1998), 3-8. https://doi.org/10.1080/10196789800000016
  42. Totten, J. C. and M. P. Block, Analyzing Sales Promotion : Text and Cases, 2nd Edition, Dartnell, (1994).