Do Organic Results Help or Hurt Sponsored Search Performance?

Published Online:https://doi.org/10.1287/isre.2015.0593

References

  • Abhishek V, Hosanagar K (2013) Optimal bidding in multi-item multi-slot sponsored search auctions. Oper. Res. 61(4):855–873.LinkGoogle Scholar
  • Agarwal A, Hosanagar K, Smith MD (2011) Location, location and location: An analysis of profitability of position in online advertising markets. J. Marketing Res. 48(6):1057–1073.CrossrefGoogle Scholar
  • Animesh A, Ramachandran V, Viswanathan S (2010) Quality uncertainty and adverse selection in online sponsored search markets. Inform. Systems Res. 21(1):190–201.LinkGoogle Scholar
  • Animesh A, Viswanathan S, Agarwal R (2011) Competing creatively in sponsored search markets. Inform. Systems Res. 22(1):153–169.LinkGoogle Scholar
  • Ansari A, Mela C (2003) E-customization. J. Marketing Res. 40(2):131–145.CrossrefGoogle Scholar
  • Athey S, Ellison G (2011) Position auctions with consumer search. Quart. J. Econom. 126(3):1213–1270.CrossrefGoogle Scholar
  • Brunel FF, Nelson MR (2003) Message order effects and gender differences in advertising persuasion. J. Advertising Res. 43(3):330–341.CrossrefGoogle Scholar
  • Brynjolfsson E, Smith MD (2000) Frictionless commerce? A comparison of Internet and conventional retailers. Management Sci. 46(4):563–585.LinkGoogle Scholar
  • Chakravarti A, Janiszewski C, Ulkumen G (2006) The neglect of pre-screening information. J. Marketing Res. 63(11):642–653.CrossrefGoogle Scholar
  • Danescu-Niculescu-Mizil C, Broder AZ, Gabrilovich E, Josifovski V, Pang B (2010) Competing for users’ attention: On the interplay between organic and sponsored search results. Proc. 19th Internat. Conf. World Wide Web, 291–300.CrossrefGoogle Scholar
  • Dellaert BGC, Haubl G (2012) Searching in choice mode: Consumer decision processes in product search with recommendations. J. Marketing Res. 49(2):277–288.CrossrefGoogle Scholar
  • Dellarocas C (2012) Double marginalization in performance-based advertising: Implications and solutions. Management Sci. 58(6):1178–1195.LinkGoogle Scholar
  • Duan JA, Mela C (2009) The role of spatial demand on outlet location and pricing. J. Marketing Res. 46(2):260–278.CrossrefGoogle Scholar
  • Ebbes P, Wedel M, Böckenholt U, Steerneman T (2005) Solving and testing for regressor-error (in)dependence when no instrumental variables are available: With new evidence for the effect of education on income. Quant. Marketing Econom. 3(4):365–392.CrossrefGoogle Scholar
  • Edelman B, Ostrovsky M, Schwarz M (2007) Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords. Amer. Econom. Rev. 97(1):242–259.CrossrefGoogle Scholar
  • Elberse A, Eliashberg J (2003) Demand and supply dynamics for sequentially released products in international markets: The case of motion pictures. Marketing Sci. 22(3):329–354.LinkGoogle Scholar
  • Feldman J, Muthukrishnan S, Pal M, Stein C (2007) Budget optimization in search-based advertising auctions. Proc. 8th ACM Conf. Electronic Commerce, San Diego, 40–49.CrossrefGoogle Scholar
  • Ghose A, Yang S (2009) An empirical analysis of search engine advertising: Sponsored search in electronic markets. Management Sci. 55(10):1605–1622.LinkGoogle Scholar
  • Ghose A, Ipeirotis PG, Li B (2012) Designing ranking systems for hotels on travel search engines by mining user-generated and crowdsourced content. Marketing Sci. 31(3):493–520.LinkGoogle Scholar
  • Godes D, Mayzlin D (2004) Using online conversations to study word of mouth communication. Marketing Sci. 23(4):545–560.LinkGoogle Scholar
  • Granka LA, Joachims T, Gay G (2004) Eye-tracking analysis of user behavior in WWW search. Proc. 27th Annual Internat. ACM SIGIR Conf. Res. Development Inform. Retrieval, Sheffield, UK, 478–479.CrossrefGoogle Scholar
  • Greene W (1999) Econometric Analysis, 4th ed. (Prentice Hall, Upper Saddle River, NJ).Google Scholar
  • Häubl G, Benedict GCD, Bas D (2010) Tunnel vision: Local behavioral influences on consumer decisions in product search. Marketing Sci. 29(3):438–455.LinkGoogle Scholar
  • Hausman J (1975) An instrumental variable approach to full information estimators for linear and certain nonlinear econometric models. Econometrica 43(4):727–738.CrossrefGoogle Scholar
  • Hausman J (1996) Valuation of new goods under perfect and imperfect competition. Bresnahan T, Gordon R, eds. The Economics of New Goods, Studies in Income and Wealth, Vol. 58 (National Bureau of Economic Research, Chicago), 209–248.Google Scholar
  • Hoque AY, Lohse GL (1999) An information search cost perspective for designing interfaces for electronic commerce. J. Marketing Res. 36(3):387–394.CrossrefGoogle Scholar
  • Hosanagar K, Cherapanov V (2008) Optimal bidding in stochastic budget constrained slot auctions. Proc. 9th ACM Conf. Electronic Commerce, Chicago, 20.CrossrefGoogle Scholar
  • Jansen BJ, Resnick M (2006) An examination of searchers’ perceptions of nonsponsored and sponsored links during ecommerce Web searching. J. Amer. Soc. Inform. Sci. Tech. 57(14):1949–1961.CrossrefGoogle Scholar
  • Jeziorski P, Segal I (2015) What makes them click: Empirical analysis of consumer demand for search advertising. Amer. Econom. J. 7(3):24–53.Google Scholar
  • Katona Z, Sarvary M (2010) The race for sponsored links: Bidding patterns for search advertising. Marketing Sci. 29(2):199–215.LinkGoogle Scholar
  • Kempe D, Mahdian M (2008) A cascade model for externalities in sponsored search. Papadimitriou C, Zhang S, eds. Internet and Network Economics, Lecture Notes Comput. Sci., Vol. 5385 (Springer-Verlag, Berlin Heidelberg), 585–596.CrossrefGoogle Scholar
  • Kent RJ (1993) Competitive versus noncompetitive clutter in television advertising. J. Advertising Res. 33(2):40–46.Google Scholar
  • Kent RJ, Allen CT (1994) Competitive interference effects in consumer memory for advertising: The role of brand familiarity. J. Marketing 58(3):97–105.CrossrefGoogle Scholar
  • Lahiri K, Schmidt P (1978) On the estimation of triangular structural systems. Econometrica 46(5):1217–1221.CrossrefGoogle Scholar
  • Leong S, Mishra N, Sadikov E, Zhang L (2012) Domain bias in Web search. Proc. Fifth ACM Internat. Conf. Web Search and Data Mining, 413–422.Google Scholar
  • Liu D, Viswanathan S (2014) Information asymmetry and hybrid advertising. J. Marketing Res. 51(5):609–624.CrossrefGoogle Scholar
  • Liu D, Chen J, Whinston AB (2010) Ex-ante information and design of keyword auctions. Inform. Systems Res. 21(1):133–153.LinkGoogle Scholar
  • Liu Q, Steenburgh TJ, Gupta S (2015) The cross attributes flexible substitution logit: Uncovering category expansion and share impacts of marketing instruments. Marketing Sci. 34(1):144–159.LinkGoogle Scholar
  • Lunden I (2014) Internet ad spend to reach $121B in 2014, 23% of $537B total ad spend, ad tech boosts display. Techcrunch (April 7), http://techcrunch.com/2014/04/07/internet-ad-spend-to-reach-121b-in-2014-23-of-537b-total-ad-spend-ad-tech-gives-display-a-boost-over-search/.Google Scholar
  • Moe WW (2003) Buying, searching, or browsing: Differentiating between online shoppers using in-store navigational clickstream. J. Consumer Psych. 13(1–2):29–40.CrossrefGoogle Scholar
  • Musalem A, Bradlow ET, Raju JS (2008) Who’s got the coupon: Estimating consumer preferences and coupon usage from aggregate information. J. Marketing Res. 45(12):715–730.CrossrefGoogle Scholar
  • Nevo A (2001) Measuring market power in the ready-to-eat cereal industry. Econometrica 69(2):307–342.CrossrefGoogle Scholar
  • Palmer JW (2002) Web site usability, design, and performance metrics. Inform. Systems Res. 13(2):150–167.LinkGoogle Scholar
  • Park JW, Hastak M (1994) Memory-based product judgments: Effects of involvement at encoding and retrieval. J. Consumer Res. 21(3):534–547.CrossrefGoogle Scholar
  • Pieters RGM, Bijmolt THA (1997) Consumer memory for television advertising: A field study of duration, serial position, and competition effects. J. Consumer Res. 23(4):362–373.CrossrefGoogle Scholar
  • Rhodes EW, Teferman NB, Cook E, Schwartz D (1979) T-scope tests of yellow pages advertising. J. Advertising Res. 19(2):49–52.Google Scholar
  • Rossi PE, Allenby GM (2003) Bayesian statistics and marketing. Marketing Sci. 22(3):304–328.LinkGoogle Scholar
  • Rossi PE, Allenby GM (2005) Bayesian Statistics and Marketing (John Wiley and Sons, Hoboken, NJ).CrossrefGoogle Scholar
  • Rutz O, Bucklin R (2012) From generic to branded: A model of spillovers in paid search advertising. J. Marketing Res. 48(1):87–102.CrossrefGoogle Scholar
  • Rutz O, Trusov M (2011) Zooming in on paid search ads—A consumer-level model calibrated on aggregated data. Marketing Sci. 30(5):789–800.LinkGoogle Scholar
  • Rutz O, Bucklin R, Sonnier GP (2012) A latent instrumental variables approach to modeling keyword conversion in paid search advertising. J. Marketing Res. 49(3):306–319.CrossrefGoogle Scholar
  • Sahni N (2015) Advertising spillovers: Field-experiment evidence and implications for returns from advertising. Stanford University Graduate School of Business Research Paper 14-15, Stanford, CA.Google Scholar
  • Sherman C (2005) A new f-word for Google search results. Search Engine Watch (March 7), http://searchenginewatch.com/sew/news/2066806/a-new-f-word-google-search-results.Google Scholar
  • Weber TA, Zheng ZE (2007) A model of search intermediaries and paid referrals. Inform. Systems Res. 18(4):414–436.LinkGoogle Scholar
  • Wedel M, Pieters R (2000) Eye fixations on advertisements and memory for brands: A model and findings. Marketing Sci. 19(4):297–312.LinkGoogle Scholar
  • Wood SL, Lynch JG Jr (2002) Prior knowledge and complacency in new product learning. J. Consumer Res. 29(3):416–426.CrossrefGoogle Scholar
  • Wyer RS, Srull TK (1986) Human cognition in its social context. Psych. Rev. 93(3):322–359.CrossrefGoogle Scholar
  • Xu L, Chen J, Whinston AB (2011) Price competition and endogenous valuation in search advertising. J. Marketing Res. 48(3):566–586.CrossrefGoogle Scholar
  • Xu L, Chen J, Whinston AB (2012) Interplay between organic listing and sponsored bidding in search advertising. Inform. Systems Res. 23(4):1284–1302.LinkGoogle Scholar
  • Yang S, Ghose A (2010) Analyzing the relationship between organic and sponsored search advertising: Positive, negative, or zero interdependence? Marketing Sci. 29(4):602–623.LinkGoogle Scholar
  • Zellner A (1962) An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias. J. Amer. Statist. Assoc. 57(298):348–368.CrossrefGoogle Scholar
  • Zhang X, Feng J (2011) Cyclical bid adjustments in search-engine advertising. Management Sci. 57(9):1703–1719.LinkGoogle Scholar
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