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http://dx.doi.org/10.7737/JKORMS.2014.39.1.029

The Effect of Deal-Proneness in the Searching Pattern on the Purchase Probability of Customer in Online Travel Services  

Kim, Hyun Gyo (Institute of Distribution and Franchise, Sejong University)
Lee, Dong Il (Department of Business Administration, Sejong University)
Publication Information
Abstract
The recent keyword advertising does not reflect the individual customer searching pattern because it is focused on each keyword at the aggregate level. The purpose of this research is to observe processes of customer searching patterns. To be specific, individual deal-proneness is mainly concerned. This study incorporates location as a control variable. This paper examines the relationship between customers' searching patterns and probability of purchase. A customer searching session, which is the collection of sequence of keyword queries, is utilized as the unit of analysis. The degree of deal-proneness is measured using customer behavior which is revealed by customer searching keywords in the session. Deal-proneness measuring function calculates the discount of deal prone keyword leverage in accordance with customer searching order. Location searching specificity function is also calculated by the same logic. The analyzed data is narrowed down to the customer query session which has more than two keyword queries. The number of the data is 218,305 by session, which is derived from Internet advertising agency's (COMAS) advertisement managing data and the travel business advertisement revenue data from advertiser's. As a research result, there are three types of the deal-prone customer. At first, there is an unconditional active deal-proneness customer. It is the customer who has lower deal-proneness which means that he/she utilizes deal-prone keywords in the last phase. He/she starts searching a keyword like general ones and then finally purchased appropriate products by utilizing deal-prone keywords in the last time. Those two types of customers have the similar rates of purchase. However, the last type of the customer has middle deal-proneness; who utilizes deal-prone keywords in the middle of the process. This type of a customer closely gets into the information by employing deal-prone keywords but he/she could not find out appropriate alternative then would modify other keywords to look for other alternatives. That is the reason why the purchase probability in this case would be decreased Also, this research confirmed that there is a loyalty effect using location searching specificity. The customer who has higher trip loyalty for specificity location responds to selected promotion rather than general promotion. So, this customer has a lower probability to purchase.
Keywords
Keyword Advertising; the Probability of Purchase; Deal-Proneness; Customer Searching Pattern;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 김주리, 김영신, "주부소비자의 쿠폰사용 결정요인 : 비용 및 편익 지각을 중심으로", 소비문화연구, 제8권, 제1호(2005), pp.115-133.
2 김동주, 신승도 "디지털 멀티미디어 방송의 선호 콘텐츠 및 타 매체 이용특성에 따른 이용의향요인 분석", 경영과학, 제25권, 제1호(2008), pp.123-138.   과학기술학회마을
3 김동훈, 김현정, 이승원, "소비자의 인구통계적 특성이 판매촉진 민감도에 미치는 영향에 관한 연구", 소비자학연구, 제13권, 제1호(2002), pp.99-117.
4 김용준, 박대현, "바겐세일추구소비자 그들은 누구인가?", 마케팅연구, 제8권, 제2호(1993), pp.81-108.
5 박광희, "판매촉진지향성에 관한 이론적 고찰", 계명대학교생활과학연구소 과학논집, 제32권,(2006), pp.57-70.
6 이동일, 김현교 "개인검색기반 키워드광고 구매전환모형 개발", 한국경영과학학회지, 제38권, 제1호(2013), pp.123-138.   과학기술학회마을   DOI   ScienceOn
7 이홍주 "클릭스트림 데이터를 활용한 전자상거래에서 상품추천이 고객 행동에 미치는 영향 분석", 한국경영과학학회지, 제33권, 제3호(2008), pp.59-76.   과학기술학회마을
8 임양환, 한상만, 구본관, "인터넷 쇼핑몰의 판매촉진 효과와 전략-소비자 쇼핑 행동의 단계별 성과를 중심으로-", 소비자학연구, 제15권, 제1호(2004), pp.159-184.
9 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, No.6(2011), pp.1057-1073.   DOI   ScienceOn
10 Blattberg, R.C. and S.A. Neslin, Sales Promotion : Concept, Methods, and Strategies, Prentice Hall, NJ, 1990.
11 Ailawadi, K.L., S.A. Neslin, and K. Gedenk, "Pursuing the Value-Conscious Consumer : Store Brands Versus National Brand Promotions," Journal of Marketing, Vol.65 No.1 (2001), pp.71-89.   DOI   ScienceOn
12 Bawa, K. and R.W. Shoemaker, "The Coupon-Prone Consumer : Some Findings Based on Purchase Behavior Across Product Classes," Journal of Marketing, Vol.51, No.4(1987), pp.99-110.   DOI   ScienceOn
13 Berendt, B., B. Mobasher, M. Spiliopoulou, J. Wiltshire, "Measuring the Accuracy of Sessionizers for Web Usage Analysis," In Proceedings of the Workshop on Web Mining at the First SIAM International Conference on Data Mining, Vol.7, No.14 (2001).
14 Brown, R.G., Statistical Forecasting for Inventory Control, McGraw-Hil, NY, 1959. quoted in Gardner, E.S. Exponential Smoothing : The state of the Art-Part II. International Journal of Forecasting, Vol.22, No.4 (2006), pp.637-666.
15 Bucklin, R.E. and C. Sismeiro, "A Model of Web Site Browsing Behavior Estimated on Clickstream Data," Journal of Marketing Research, Vol.40, No.3(2003), pp.249-267.   DOI   ScienceOn
16 Bucklin, R.E. and C. Sismeiro, "Click Here for Internet Insight : Advances in Clickstream Data Analysis in Marketing," Journal of Interactive Marketing, Vol.23, No.1(2009), pp.35-48.   DOI   ScienceOn
17 Carpenter, J.M. and M. Moore, "US Consumers' Perceptions of Non-Price Retail Promotions," International Journal of Retail and Distribution Management, Vol.36, No.2(2008), pp.111-123.   DOI   ScienceOn
18 Gazquez-Abad, J.C. and M. Sanchez-Perez, "Characterising the Deal-proneness of Consumers by Analysis of Price Sensitivity and Brand Loyalty : An Analysis in the Retail Environment," The International Review of Retail, Distribution and Consumer Research, Vol.19, No.1(2009), pp.1-28.   DOI   ScienceOn
19 Geddes, B., Advanced Google AdWords, Wiley, IND, 2010.
20 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.   DOI   ScienceOn
21 Hayes, A.F. and K. Krippendorff "Answering the Call for a Standard Reliability Measure for Coding Data," Communication Methods and Measures, Vol.1(2007), pp.77-89.   DOI   ScienceOn
22 Godes, D. and D. Mayzlin, "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, Vol.23, No.4(2004), pp.545-560.   DOI   ScienceOn
23 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.   DOI   ScienceOn
24 Gujarati, D.N. and D.C. Porter, Basic Econometrics 6th ed, McGraw-Hill, MA, 2009.
25 Henderson, C.M., "Promotion Heterogeneity and Consumer Learning : Refining the Deal-Proneness Construct," Advances in Consumer Research, Vol.21, No.1(1994), pp.86-94.
26 Hirschman, E.C. and M. Wallendorf, "Motives Underlying Marketing Information Acquisition and Knowledge Transfer," Journal of Advertising, Vol.11, No.3(1982), pp.25-31.   DOI
27 Holt, C.C., "Forecasting Seasonals and Trends by Exponentially Weighted Moving Averages," International Journal of Forecasting, Vol.20, No.1(2004), pp.5-10.   DOI   ScienceOn
28 Huntington, P., D. Nicholas, and H.R. Jamali, "Website Usage Metrics : A Re-assessment of Session Data," Information Processing and Management, Vol.44, No.1(2008), pp.358-372.   DOI   ScienceOn
29 Kardes, F.R., M.L. Cronley, and T.W. Cline, Consumer Behavior : Science and Practice, Cengage Learning, OH, 2011.
30 Jasen, 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.   DOI   ScienceOn
31 Kitts, B., P. Laxminarayan, B. LeBlanc, and R. Meech, "A Formal Analysis of Search Auctions Including Predictions on Click Fraud and Bidding Tactics," In Proceedings of the ACM Electronic Commerce In Workshop on Sponsored Search Auctions, 2005.
32 Krippendorff, K., Content Analysis : An Introduction to Its Methodology, Sage, CA, 2004.
33 Kwon, K.N. and Y.J. Kwon, "Demographics in Sales Promotion Proneness : A Socio-Cultural Approach," Advances in Consumer Research, Vol.34(2007), pp.288-294.
34 Levedahl, J.W., "Coupon Redeemers : Are They Better Shopper?," The Journal of Consumer Affairs, Vol.22, No.2(1988), pp.264-283.   DOI
35 Lichtenstein, D.R., R.G. Netemeyer, and S. Burton, "Assessing the Domain Specificity of Deal Proneness : A Field Study," Journal of Consumer Research, Vol.22, No.3(1995), pp.314-326.   DOI   ScienceOn
36 Lichtenstein, D.R., S. Burton, and R.G. Netemeyer, "An Examination of Deal Proneness Across Sales Promotion Types : A Consumer Segmentation Perspective," Journal of Retailing, Vol.73, No.2(1997), pp.283-297.   DOI   ScienceOn
37 Lown, C., "A Transaction Log Analysis of NCSU's Faceted Navigation OPAC," Master's paper, University of North Carolina at Chapel Hill, 2008.
38 Moe, W.W. and P.S. Fader, "Capturing Evolving Visit Behavior in Clickstream Data," Journal of Interactive Marketing, Vol.18, No.1(2004), pp.5-19.
39 Mela, C.F., S. Gupta, and D.R. Lehmann, "The Long-Term Impact of Promotion and Advertising on Consumer Brand Choice," Journal of Marketing Research, Vol.34, No.2(1997), pp.248-261.   DOI   ScienceOn
40 Moe, W.W., "Buying, Searching, or Browsing : Differentiating Between Online Shoppers Using In-Store Navigational Clickstream," Journal of Consumer Psychology, Vol.13, No.2(2003), pp.29-39.   DOI   ScienceOn
41 Narasimhan, C., "A Price Discrimination Theory of Coupons," Marketing Science, Vol.3, No.2(1984), pp.128-147.   DOI   ScienceOn
42 Ortega, J.L. and I. Aguillo, "Differences between Web Sessions according to the Origin of Their Visits," Journal of Informetrics, Vol.4, No.3(2010), pp.331-337.   DOI   ScienceOn
43 Pechtl, H., "Profiling Intrinsic Deal Proneness for HILO and EDLP Price Promotion Strategies," Journal of Retailing and Consumer Services, Vol.11, No.4(2004), pp.223-233.   DOI   ScienceOn
44 Rutz, O.J. 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.   DOI   ScienceOn
45 Rutz, O.J. and M. Trusov, "Zooming In on Paid Search Ads-A Consumer-Level Model Calibrated on Aggregated Data," Marketing Science, Vol.30, No.5(2011), pp.789-800.   DOI   ScienceOn
46 Rutz, O.J., M. Trusov, and R.E. Buckin, "Modeling Indirect Effects of Paid Search Advertising : Which Keywords Lead to More Future Visits?," Marketing Science, Vol.30, No.4(2011), pp.646-665.   DOI   ScienceOn
47 Yim, C.K. and P.K. Kannan, "Consumer Behavioral Loyalty : A Segmentation Model and Analysis," Journal of Business Research, Vol.44, No.2(1999), pp.75-92.   DOI   ScienceOn
48 Trivedi, M., "Using Variety-Seeking-Based Segmentation to Study Promotional Response," Journal of the Academy of Marketing Science, Vol.27, No.1(1999), pp.37-49.   DOI   ScienceOn
49 Yang and Ghose, "Analyzing the Relationship Between Organic and Sponsored Search Advertising : Positive, Negative, or Zero Interdependence?," Marketing Science, Vol.29, No.4(2010), pp.602-623.   DOI   ScienceOn
50 Yi, Y. and J. Yoo, "The Long-Term Effects of Sales Promotions on Brand Attitude Across Monetary and Non-Monetary Promotions," Psychology and Marketing, Vol.28, No.9 (2011), pp.879-896.   DOI   ScienceOn
51 Zeileis, A., C. Kleiber, and S. Jackman, "Regression Models for Count Data in R," Journal of Statistical Software, Vol.27, No.8 (2008), pp.1-25.
52 한국방송광고진흥공사, 2012광고산업통계, 한국방송광고진흥공사, 2012.
53 Schneider, L.G. and I.S. Currim, "Consumer Purchase Behaviors associated with Active and Passive deal-proneness," International Journal of Research in Marketing, Vol.8 No.3(1991), pp.205-222.   DOI   ScienceOn
54 Fader, P.S. and L. McAlister, "An Elimination by Aspects Model of Consumer Response to Promotion Calibrated on UPC Scanner Data," Journal of Marketing Research, Vol.27, No.3(1990), pp.322-332.   DOI   ScienceOn
55 Manchanda, P., J.P. Dube, 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.   DOI