IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v24y2005i3p461-476.html
   My bibliography  Save this article

The Targeting of Advertising

Author

Listed:
  • Ganesh Iyer

    (Haas School of Business, University of California, Berkeley, Berkeley, California 94720-1900)

  • David Soberman

    (INSEAD, Boulevard de Constance, Fontainebleau, France 77305)

  • J. Miguel Villas-Boas

    (Haas School of Business, University of California, Berkeley, Berkeley, California 94720-1900)

Abstract

An important question that firms face in advertising is developing effective media strategy. Major improvements in the quality of consumer information and the growth of targeted media vehicles allow firms to precisely target advertising to consumer segments within a market. This paper examines advertising strategy when competing firms can target advertising to different groups of consumers within a market. With targeted advertising, we find that firms advertise more to consumers who have a strong preference for their product than to comparison shoppers who can be attracted to the competition. Advertising less to comparison shoppers can be seen as a way for firms to endogenously increase differentiation in the market. In addition, targeting allows the firm to eliminate “wasted” advertising to consumers whose preferences do not match a product’s attributes. As a result, the targeting of advertising increases equilibrium profits. The model demonstrates how advertising strategies are affected by firms being able to target pricing. Target advertising leads to higher profits, regardless of whether or not the firms have the ability to set targeted prices, and the targeting of advertising can be more valuable for firms in a competitive environment than the ability to target pricing.

Suggested Citation

  • Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
  • Handle: RePEc:inm:ormksc:v:24:y:2005:i:3:p:461-476
    DOI: 10.1287/mksc.1050.0117
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.1050.0117
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.1050.0117?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Varian, Hal R, 1980. "A Model of Sales," American Economic Review, American Economic Association, vol. 70(4), pages 651-659, September.
    2. Stegeman, Mark, 1991. "Advertising in Competitive Markets," American Economic Review, American Economic Association, vol. 81(1), pages 210-223, March.
    3. Ganesh Iyer & Amit Pazgal, 2003. "Internet Shopping Agents: Virtual Co-Location and Competition," Marketing Science, INFORMS, vol. 22(1), pages 85-106, November.
    4. Greg Shaffer & Z. John Zhang, 1995. "Competitive Coupon Targeting," Marketing Science, INFORMS, vol. 14(4), pages 395-416.
    5. Yuxin Chen & Ganesh Iyer, 2002. "Research Note Consumer Addressability and Customized Pricing," Marketing Science, INFORMS, vol. 21(2), pages 197-208, November.
    6. Drew Fudenberg & Jean Tirole, 2000. "Customer Poaching and Brand Switching," RAND Journal of Economics, The RAND Corporation, vol. 31(4), pages 634-657, Winter.
    7. Thisse, Jacques-Francois & Vives, Xavier, 1988. "On the Strategic Choice of Spatial Price Policy," American Economic Review, American Economic Association, vol. 78(1), pages 122-137, March.
    8. Narasimhan, Chakravarthi, 1988. "Competitive Promotional Strategies," The Journal of Business, University of Chicago Press, vol. 61(4), pages 427-449, October.
    9. Lola Esteban & Agustín Gil & Jose M. Hernández, 2001. "Informative Advertising and Optimal Targeting in a Monopoly," Journal of Industrial Economics, Wiley Blackwell, vol. 49(2), pages 161-180, June.
    10. Baye, Michael R. & Kovenock, Dan & de Vries, Casper G., 1992. "It takes two to tango: Equilibria in a model of sales," Games and Economic Behavior, Elsevier, vol. 4(4), pages 493-510, October.
    11. David A. Soberman, 2004. "Research Note: Additional Learning and Implications on the Role of Informative Advertising," Management Science, INFORMS, vol. 50(12), pages 1744-1750, December.
    12. Stahl II Dale O., 1994. "Oligopolistic Pricing and Advertising," Journal of Economic Theory, Elsevier, vol. 64(1), pages 162-177, October.
    13. Ralph A. Winter, 1997. "Colluding on Relative Prices," RAND Journal of Economics, The RAND Corporation, vol. 28(2), pages 359-371, Summer.
    14. Ying Zhao, 2006. "Price Dispersion in the Grocery Market," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1175-1192, May.
    15. Greg Shaffer & Florian Zettelmeyer, 2004. "Advertising in a Distribution Channel," Marketing Science, INFORMS, vol. 23(4), pages 619-628, November.
    16. Shaffer, G. & Zhang, Z.J., 1994. "Competitive Coupon Targeting," Papers 94-02, Michigan - Center for Research on Economic & Social Theory.
    17. J. Miguel Villas-Boas, 2004. "Price Cycles in Markets with Customer Recognition," RAND Journal of Economics, The RAND Corporation, vol. 35(3), pages 486-501, Autumn.
    18. Esteban, Lola & Gil, Agustin & Hernandez, Jose M, 2001. "Informative Advertising and Optimal Targeting in a Monopoly," Journal of Industrial Economics, Wiley Blackwell, vol. 49(2), pages 161-180, June.
    19. Miguel Villas-Boas, J., 1992. "Dynamic duopolies with non-convex adjustment costs," Economics Letters, Elsevier, vol. 39(4), pages 391-394, August.
    20. Kenneth S. Corts, 1998. "Third-Degree Price Discrimination in Oligopoly: All-Out Competition and Strategic Commitment," RAND Journal of Economics, The RAND Corporation, vol. 29(2), pages 306-323, Summer.
    21. Gene M. Grossman & Carl Shapiro, 1984. "Informative Advertising with Differentiated Products," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(1), pages 63-81.
    22. Nitin Mehta & Surendra Rajiv & Kannan Srinivasan, 2003. "Price Uncertainty and Consumer Search: A Structural Model of Consideration Set Formation," Marketing Science, INFORMS, vol. 22(1), pages 58-84, June.
    23. Vijay Mahajan & Eitan Muller, 1986. "Advertising Pulsing Policies for Generating Awareness for New Products," Marketing Science, INFORMS, vol. 5(2), pages 89-106.
    24. Vijay Mahajan & Eitan Muller, 1986. "Reply—Reflections on Advertising Pulsing Policies for Generating Awareness for New Products," Marketing Science, INFORMS, vol. 5(2), pages 110-111.
    25. J. Miguel Villas-Boas, 1993. "Predicting Advertising Pulsing Policies in an Oligopoly: A Model and Empirical Test," Marketing Science, INFORMS, vol. 12(1), pages 88-102.
    26. Demetrios Vakratsas & Fred M. Feinberg & Frank M. Bass & Gurumurthy Kalyanaram, 2004. "The Shape of Advertising Response Functions Revisited: A Model of Dynamic Probabilistic Thresholds," Marketing Science, INFORMS, vol. 23(1), pages 109-119, April.
    27. Gerald L. Thompson & Jinn-Tsair Teng, 1984. "Optimal Pricing and Advertising Policies for New Product Oligopoly Models," Marketing Science, INFORMS, vol. 3(2), pages 148-168.
    28. Ganesh Iyer & David Soberman, 2000. "Markets for Product Modification Information," Marketing Science, INFORMS, vol. 19(3), pages 203-225, February.
    29. Roy, Santanu, 2000. "Strategic segmentation of a market," International Journal of Industrial Organization, Elsevier, vol. 18(8), pages 1279-1290, December.
    30. Mills, David E. & Smith, William, 1996. "It pays to be different: Endogenous heterogeneity of firms in an oligopoly," International Journal of Industrial Organization, Elsevier, vol. 14(3), pages 317-329, May.
    31. Ram C. Rao, 1986. "Estimating Continuous Time Advertising-Sales Models," Marketing Science, INFORMS, vol. 5(2), pages 125-142.
    32. Dmitri Kuksov, 2004. "Buyer Search Costs and Endogenous Product Design," Marketing Science, INFORMS, vol. 23(4), pages 490-499, May.
    33. Joseph O. Eastlack, Jr. & Ambar G. Rao, 1986. "Modeling Response to Advertising and Pricing Changes for “V-8” Cocktail Vegetable Juice," Marketing Science, INFORMS, vol. 5(3), pages 245-259.
    34. Maurice W. Sasieni, 1989. "Optimal Advertising Strategies," Marketing Science, INFORMS, vol. 8(4), pages 358-370.
    35. J. Miguel Villas-Boas, 1999. "Dynamic Competition with Customer Recognition," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 604-631, Winter.
    36. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
    37. Ganesh Iyer & Amit Pazgal, 2003. "Erratum: Internet Shopping Agents: Virtual Co-Location and Competition," Marketing Science, INFORMS, vol. 22(2), pages 271-271, November.
    38. Gerard R. Butters, 1977. "Equilibrium Distributions of Sales and Advertising Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(3), pages 465-491.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rosa Branca Esteves, 2009. "Customer Poaching And Advertising," Journal of Industrial Economics, Wiley Blackwell, vol. 57(1), pages 112-146, March.
    2. Galeotti, Andrea & Moraga-González, José Luis, 2008. "Segmentation, advertising and prices," International Journal of Industrial Organization, Elsevier, vol. 26(5), pages 1106-1119, September.
    3. Simon Anderson & Alicia Baik & Nathan Larson, 2023. "Price Discrimination in the Information Age: Prices, Poaching, and Privacy with Personalized Targeted Discounts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2085-2115.
    4. Lola Esteban & José Hernández, 2014. "Endogenous direct advertising and price competition," Journal of Economics, Springer, vol. 112(3), pages 225-251, July.
    5. Fay, Scott, 2008. "Selling an opaque product through an intermediary: The case of disguising one's product," Journal of Retailing, Elsevier, vol. 84(1), pages 59-75.
    6. Il-Horn Hann & Kai-Lung Hui & Sang-Yong Tom Lee & Ivan P.L. Png, 2005. "Sales and Promotions: A More General Model," Industrial Organization 0508014, University Library of Munich, Germany.
    7. Esteves, Rosa-Branca, 2010. "Pricing with customer recognition," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 669-681, November.
    8. Zhang, Jianqiang & He, Xiuli, 2019. "Targeted advertising by asymmetric firms," Omega, Elsevier, vol. 89(C), pages 136-150.
    9. Yuxin Chen & Ganesh Iyer, 2002. "Research Note Consumer Addressability and Customized Pricing," Marketing Science, INFORMS, vol. 21(2), pages 197-208, November.
    10. Chen, Yuxin & Zhang, Z. John, 2009. "Dynamic targeted pricing with strategic consumers," International Journal of Industrial Organization, Elsevier, vol. 27(1), pages 43-50, January.
    11. Esteban, Lola & Hernández, José M., 2017. "Direct advertising and opt-in provisions: Policy and market implications," Information Economics and Policy, Elsevier, vol. 39(C), pages 15-25.
    12. Anderson, Simon & Baik, Alicia & Larson, Nathan, 2015. "Personalized pricing and advertising: An asymmetric equilibrium analysis," Games and Economic Behavior, Elsevier, vol. 92(C), pages 53-73.
    13. Esteves, Rosa-Branca & Cerqueira, Sofia, 2017. "Behavior-based pricing under imperfectly informed consumers," Information Economics and Policy, Elsevier, vol. 40(C), pages 60-70.
    14. Esteves, Rosa-Branca & Resende, Joana, 2019. "Personalized pricing and advertising: Who are the winners?," International Journal of Industrial Organization, Elsevier, vol. 63(C), pages 239-282.
    15. Rosa Branca Esteves, 2009. "A Survey on the Economics of Behaviour-Based Price Discrimination," NIPE Working Papers 5/2009, NIPE - Universidade do Minho.
    16. Zhao Jiang & Wu Dan & Liu Jie, 2020. "Distinct role of targeting precision of Internet-based targeted advertising in duopolistic e-business firms’ heterogeneous consumers market," Electronic Commerce Research, Springer, vol. 20(2), pages 453-474, June.
    17. Juanjuan Zhang, 2011. "The Perils of Behavior-Based Personalization," Marketing Science, INFORMS, vol. 30(1), pages 170-186, 01-02.
    18. Rosa Brana Esteves & Joana Resende, 2017. "Personalized Pricing with Targeted Advertising: Who are the Winners?," NIPE Working Papers 02/2017, NIPE - Universidade do Minho.
    19. Andrea Galeotti & José Luis Moraga-González, 2004. "A Model of Strategic Targeted Advertising," CESifo Working Paper Series 1196, CESifo.
    20. Bita Hajihashemi & Amin Sayedi & Jeffrey D. Shulman, 2022. "The Perils of Personalized Pricing with Network Effects," Marketing Science, INFORMS, vol. 41(3), pages 477-500, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormksc:v:24:y:2005:i:3:p:461-476. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.