Purchase Intention Page View Price Promotion Exposure Distribution Advertising Effectiveness 
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  1. Aaker, D.A. 1975. ADMOD: An Advertising Decision Model. Journal of Marketing Research February 37–45.Google Scholar
  2. Allenby, G., D.M. Hanssens. 2004. MSI Advertising Response Steering Group: Discussion Paper”, presented at MSI Conference on Future Research Agenda, Atlanta, May 2004.Google Scholar
  3. Allenby, G., P.E. Rossi. 1991. There is No Aggregation Bias: Why Macro Logit Models Work. Journal of Business and Economic Statistics 9(1, January) 1–14.CrossRefGoogle Scholar
  4. Anscombe, F.J. 1950. Sampling Theory of the Negative Binomial and Logarithmic Distributions. Biometrika 37(¾) 358–382.Google Scholar
  5. Assael, H., D.F. Poltrack. 1991. Using Single Source Data to Select TV Programs Based on Purchasing Behavior. Journal of Advertising Research 31(4) 9–17.Google Scholar
  6. Assmus, G., J.U. Farley, D.R. Lehmann. 1984. How Advertising Affects Sales: Meta-Analysis of Econometric Results. Journal of Marketing Research 21(February) 65–74.CrossRefGoogle Scholar
  7. Barwise, T.P., A.S.C. Ehrenberg. 1988. Television and Its Audience. Sage, London, UK.Google Scholar
  8. Bass, F.M. 1969. A Simultaneous-Equation Regression Study of Advertising and Sales of Cigarettes. Journal of Marketing Research 6(August) 291–300.CrossRefGoogle Scholar
  9. Bass, F.M., R.T. Lonsdale. 1966. An Exploration of Linear Programming in Media Selection. Journal of Marketing Research May 179–188.Google Scholar
  10. Bass, F.M., L.J. Parsons. 1969. Simultaneous-Equation Regression Analysis of Sales and Advertising. Applied Economics 1 103–124.CrossRefGoogle Scholar
  11. Broadbent, S.R. 1966. Media Planning and Computers: A Review of the Use of Mathematical Models in Media Planning. Applied Statistics November 240–241.Google Scholar
  12. Broadbent, S.R. 1988. The Advertiser’s Handbook for Budget Determination. Lexington Books , Lexington, MA.Google Scholar
  13. Broadbent, S.R. 1999. When to Advertise. Admap Publications, Henley-on-Thames, Oxfordshire, U.K.Google Scholar
  14. Brown, D.B., M. Warshaw. 1965. An Exploration of Linear Programming in Media Selection. Journal of Marketing Research February 83–88.Google Scholar
  15. Brown, G. 1985. Tracking Studies and Sales Effects: A U.K. Perspective. Journal of the Advertising Research 25(1) 52–64.Google Scholar
  16. Brown, G. 1991. Modelling Advertising Awareness. ADMAP, April, 1 25–29.Google Scholar
  17. Burke, R.R., T.K. Srull. 1988. Competitive Interference and Consumer Memory for Advertising. Journal of Consumer Research 15(June) 55–68.CrossRefGoogle Scholar
  18. Chandler-Pepelnjak, J. 2004. Forecasting Reach, Frequency and GRPs on the Internet. Atlas Digital Marketing Technologies,
  19. Chandon, J.-L.J. 1986. A Comparative Study of Media Exposure Models. Garland, New York, NY.Google Scholar
  20. Charnes, W.W., J.K. Cooper, D.B. De Voe, W. Reinecke. 1968. A Goal Programming Model for Media Planning. Management Science April 423–430.Google Scholar
  21. Christen, M., S. Gupta, J.C. Porter, R. Staelin, D.R. Wittink. 1997. Using Market-Level Data to Understand Promotion Effects in a Nonlinear Model. Journal of Marketing Research 34(August) 322–334.CrossRefGoogle Scholar
  22. Chunovic, L. 2003. Clutter Reaches All-Time High. Television Week, May 12, 22(19) 19.Google Scholar
  23. Clarke, D.G. 1976. Econometric Measurement of the Duration of Advertising Effects on Sales. Journal of Marketing Research 18 345–357.CrossRefGoogle Scholar
  24. Cooper, L.G., M. Nakanishi. 1988. Market Share Analysis: Evaluating Competitive Marketing Effectiveness. Kluwer Academic Publishers, Boston, MA.Google Scholar
  25. Danaher, P.J. 1988. A Log-Linear Model for Predicting Magazine Audiences. Journal of Marketing Research 25(4, November) 356–362.CrossRefGoogle Scholar
  26. Danaher, P.J. 1989a. Simulating Media Exposure Distributions. Communications in Statistics: Simulation and Computation B18(4) 1381–1392.Google Scholar
  27. Danaher, P.J. 1989b. An Approximate Log-Linear Model for Predicting Magazine Audiences. Journal of Marketing Research 26(4, November) 473–479.CrossRefGoogle Scholar
  28. Danaher, P.J. 1991a. A Canonical Expansion Model for Multivariate Media Exposure Distributions: a Generalization of the Duplication of Viewing Law. Journal of Marketing Research 28(3, August) 361–367.CrossRefGoogle Scholar
  29. Danaher, P.J. 1991b. Optimizing Response Functions of Media Exposure Distributions. Journal of the Operational Research Society 42(7) 537–542.Google Scholar
  30. Danaher, P.J. 1992. Some Statistical Modeling Problems in the Advertising Industry: A Look at Media Exposure Distributions. The American Statistician 46(4) 254–260.CrossRefGoogle Scholar
  31. Danaher, P.J. 1995. What Happens to Television Ratings During Commercial Breaks? Journal of Advertising Research 35(1) 37–47.Google Scholar
  32. Danaher, P.J. 2007. Modeling Page Views Across Multiple Websites With An Application to Internet Reach and Frequency Prediction. Marketing Science 26(3, May/June) 422–437.Google Scholar
  33. Danaher, P.J., J.R. Rossiter. 2006. A Comparison of the Effectiveness of Marketing Communication Channels: Perspectives from Both Receivers and Senders in Consumer and Business Markets, accessed at
  34. Danaher, P.J., A. Bonfrer, S. Dhar. (2008). The Effect of Competitive Advertising Interference on Sales for Packaged Goods. Journal of Marketing Research 45(2, May), 211–225.Google Scholar
  35. Day, R.L. 1962. Linear Programming in Media Selection. Journal of Advertising Research June 40–44.Google Scholar
  36. Dekimpe, M., D.M. Hanssens. 1995. The Persistence of Marketing Effects on Sales. Marketing Science 14(1) 1–21.CrossRefGoogle Scholar
  37. Demers, E., B. Lev. 2001. A Rude Awakening: Internet Shakeout in 2000. Review of Accounting Studies 6(August) 331–359.CrossRefGoogle Scholar
  38. Dubé, J.-P., G.J. Hitsch, P. Manchanda. 2005. An Empirical Model of Advertising Dynamics. Quantitative Marketing and Economics 3 107–144.CrossRefGoogle Scholar
  39. Ehrenberg, A.S.C., K. Hammond, G.J. Goodhardt. 1994. The After-Effects of Price-Related Consumer Promotions. Journal of Advertising Research July/August 11–21.Google Scholar
  40. Ehrenberg, A.S.C., J. Wakshlag. 1987. Repeat-Viewing with People-Meters. Journal of Advertising Research February 9–13.Google Scholar
  41. Ellis, D.M. 1966. Building up a Sequence of Optimum Media Schedules. Operational Research Quarterly 13(3) 413–424.CrossRefGoogle Scholar
  42. Ephron, E., 1998. Optimizers and Media Planning. Journal of Advertising Research 38(4 (July/August) 47–56.Google Scholar
  43. Foley, T., P. Engelberts, G. Wicken. 2005. Compose: The Art of Channel Planning. Admap 467(December) 3–8.Google Scholar
  44. Gensch, D. H. 1969. A Computer Simulation Model for Selecting Advertising Schedules. Journal of Marketing Research May 203–214.Google Scholar
  45. Gensch, D.H. 1973. Advertising Planning: Mathematical Models in Advertising Media Planning, Amsterdam.Elsevier Scientific Publishing Company.Google Scholar
  46. Goodhardt, G.J., A.S.C. Ehrenberg. 1969. Duplication of Television Viewing Between and Within Channels. Journal of Marketing Research 6(May) 169–178.CrossRefGoogle Scholar
  47. Goodhardt, G.J., A.S.C. Ehrenberg, C. Chatfield. 1984. The Dirichlet: A Comprehensive Model of Buying Behavior. Journal of the Royal Statistical Society A 147(5) 621–655.CrossRefGoogle Scholar
  48. Guadagni, P.M., J.D.C. Little. 1983. A Logit Model for Brand Choice Calibrated on Scanner Data. Marketing Science, 2(3 (Summer)) 203–238.CrossRefGoogle Scholar
  49. Hanssens, D.M., L.J. Parsons, R.L. Schultz. 2001. Market Response Models: Econometric and Time-Series Analysis, 2nd ed., Kluwer Academic Press, Boston, MA.Google Scholar
  50. Hofmans, P. 1966. Measuring the Net Cumulative Coverage of Any Combination of Media. Journal of Marketing Research 3(3) 269–278.CrossRefGoogle Scholar
  51. Hollis, N.S. 1995. Like it or Not, Liking is not Enough. Journal of Advertising Research September 7–16.Google Scholar
  52. IAB 2006. IAB/PwC Release Full Year 2005 Internet Ad Revenue Figures, 20 April 2006,
  53. Jones, J.Philip.1990. The Double Jeopardy of Sales Promotions. Harvard Business Review 68(5) 145–152.Google Scholar
  54. Keller, K.L. 1987. Memory Factors in Advertising: The Effect of Advertising Retrieval Clues on Brand Evaluation. Journal of Consumer Research 14(December) 316–333.CrossRefGoogle Scholar
  55. Keller, K.L. 1991. Memory and Evaluation Effects in Competitive Advertising Environments. Journal of Consumer Research 17(March) 463–476.CrossRefGoogle Scholar
  56. Keller, K.L. 1998. Strategic Brand Management: Building, Measuring and Managing Brand Equity. Prentice Hall, Upper Saddle River, N.J.Google Scholar
  57. Kim, H. 1994. A Conditional Beta Distribution Model for Advertising Media Reach/Frequency Estimation, unpublished doctoral dissertation, University of Texas at Austin.Google Scholar
  58. Krugman, D.M., R.T. Rust. 1993. The Impact of Cable and VCR Penetration on Network Viewing: Assessing the Decade. Journal of Advertising Research 33(January) 67–73.Google Scholar
  59. Leckenby, J.D., J. Hong. 1998. Using Reach/Frequency for Web Media Planning. Journal of Advertising Research 38(January) 7–20.Google Scholar
  60. Leckenby, J.D., S. Kishi. 1982. How Media Directors View Reach/Frequency Estimation. Journal of Advertising Research 22(June) 64–69.Google Scholar
  61. Leckenby, J.D., and S.Kishi. 1984. The Dirichlet-Multinomial Distribution as a Magazine Exposure Model. Journal of Marketing Research 21 100–6.CrossRefGoogle Scholar
  62. Lee, A.M. 1962. Decision Rules for Media Scheduling: Static Campaigns. Operational Research Quarterly 13(3) 229–242.CrossRefGoogle Scholar
  63. Lee, A.M. 1963. Decision Rules for Media Scheduling: Dynamic Campaigns. Operational Research Quarterly 14(4) 365–372.CrossRefGoogle Scholar
  64. Lee, A.M., A.J. Burkhart. 1960. Some Optimization Problems in Advertising. Operational Research Quarterly 11(3) 113–122.CrossRefGoogle Scholar
  65. Lee, J., L. Kerbache. 2005. Internet Media Planning: A Optimization Model, Working paper, HEC School of Management, Paris, France.Google Scholar
  66. Lee, M.-L.T. 1996. Properties and Applications of the Sarmanov Family of Bivariate Distributions. Communications in Statistics: Theory and Methods 25(6) 1207–1222.CrossRefGoogle Scholar
  67. Leeflang, P.S.H., D.R. Wittink, M. Wedel, P.A. Naert. 2000. Building Models for Marketing Decisions. Kluwer Academic Publishers, Boston, MA.Google Scholar
  68. Leone, R.P., R.L. Schultz. 1980. A Study of Marketing Generalizations. Journal of Marketing 44(Winter) 10–18.CrossRefGoogle Scholar
  69. Li, S., J.C. Liechty, A.L. Montgomery. 2002. Modeling Category Viewership of Web Users with Multivariate Count Models. GSIA Working Paper #2003-E25, Carnegie Mellon University,
  70. Little, J.D.C. 1970. Models and Managers: The Concept of a Decision Calculus. Management Science 16(8), April B466–B485.CrossRefGoogle Scholar
  71. Little, J.D.C. 1975. BRANDAID: A Marketing-Mix Model, Part 2: Implementation, Calibration and Case Study. Operations Research 23 656–673.CrossRefGoogle Scholar
  72. Little, J.D.C. 1979. Aggregate Advertising Models: the State of the Art. Operations Research 27(4) July–August 629–667.CrossRefGoogle Scholar
  73. Little, J.D.C., L.M. Lodish. 1969. A Media Planning Calculus. Operations Research 17(1), January-February, 1–35.CrossRefGoogle Scholar
  74. Lodish, L.M. 1971. Considering Competition in Media Planning. Management Science 17(6) B293–306.CrossRefGoogle Scholar
  75. Lodish, L.M., M. Abraham, S. Kalmenson, J. Livelsberger, B. Lubetkin, B. Richardson, M.E. Stevens. 1995. How T.V. Advertising Works: A Meta-Analysis of 389 Real World Split Cable T.V. Advertising Experiments. Journal of Marketing Research 32(May) 125–139.CrossRefGoogle Scholar
  76. Maffei, R. B. 1960. Planning Advertising Expenditures by Dynamic Programming Methods. Management Technology December 94–100.Google Scholar
  77. Mahajan, V., E. Muller. 1986. Reflections on Advertising Pulsing Policies for Generating Awareness for New Products. Marketing Science 5(2) 89–111.CrossRefGoogle Scholar
  78. Mela, C.F., S. Gupta, D.R. Lehmann. 1997. The Long-Term Impact of Promotion and Advertising on Consumer Brand Choice. Journal of Marketing Research 34(May) 248–261.CrossRefGoogle Scholar
  79. Meskauskas, J. 2003. Reach and Frequency – Back in the Spotlight. iMedia Connection,, 5 November.
  80. Metheringham, R.A. 1964. Measuring the Net Cumulative Coverage of a Print Campaign. Journal of Advertising Research 4(December) 23–28.Google Scholar
  81. Metwally, M.M. 1978. Escalation Tendencies of Advertising. Oxford Bulletin of Economics and Statistics 40(May) 153–163.CrossRefGoogle Scholar
  82. Morrison, D.G. 1979. Purchase Intentions and Purchasing Behavior. Journal of Marketing 43(Spring) 65–74.CrossRefGoogle Scholar
  83. Naik, P.A., M.K. Mantrala, A.G. Sawyer. 1998. Planning Media Schedules in the Presence of Dynamic Advertising Quality. Marketing Science 17(3) 214–235.CrossRefGoogle Scholar
  84. Park, Y.-H., P.S. Fader. 2004. Modeling Browsing Behavior at Multiple Websites. Marketing Science 23(3 (Summer)) 280–303.CrossRefGoogle Scholar
  85. Parsons, L.J., F.M. Bass. 1971. Optimal Advertising-Expenditure Implications of a Simultaneous-Equation Regression Analysis. Operations Research 19(3) 822–831.CrossRefGoogle Scholar
  86. Rossiter, J. R., P.J. Danaher. 1998. Advanced Media Planning. Kluwer Academic Publishers, Norwell, MA.Google Scholar
  87. Rossiter, J.R., L. Percy. 1997. Advertising Communications and Promotion Management, 2nd ed., McGraw-Hill, New York, NY.Google Scholar
  88. Rust, R.T. 1985. Selecting Network Television Advertising Schedules. Journal of Business Research 13 483–494.CrossRefGoogle Scholar
  89. Rust, R.T. 1986. Advertising Media Models: A Practical Guide. Lexington Books, Lexington, MA.Google Scholar
  90. Rust, R.T., J.E. Klompmaker. 1981. Improving the Estimation Procedure for the Beta Binomial TV Exposure Model. Journal of Marketing Research 18(November) 442–448.CrossRefGoogle Scholar
  91. Rust, R.T., R.P. Leone. 1984. The Mixed-Media Dirichlet-Multinomial Distribution: A Model for Evaluating Television-Magazine Advertising Schedules. Journal of Marketing Research 21(February) 89–99.CrossRefGoogle Scholar
  92. Sabavala, D.J., D.G. Morrison. 1977. A Model of TV Show Loyalty. Journal of Advertising Research. 17(6) 35–43.Google Scholar
  93. Sarmanov, O.V. 1966. Generalized Normal Correlations and Two-Dimensional Frechet Classes. Doklady (Soviet Mathematics) 168 596–599.Google Scholar
  94. Simon, H. 1982. ADPLUS: An Advertising Model with Wearout and Pulsation. Journal of Marketing Research 19(August) 352–363.CrossRefGoogle Scholar
  95. Simon, J.L., J. Arndt. 1980. The Shape of the Advertising Response Function. Journal of Advertising Research 20(August) 11–28.Google Scholar
  96. Smith, D. L. 2003. Online Reach and Frequency: An Update. April,
  97. Srivastava, R., D. Reibstein. 2005. Metrics for Linking Marketing to Financial Performance. Marketing Science Institute Report No. 05-200.Google Scholar
  98. Tellis, G.J. 1988. The Price Elasticity of Selective Demand: A Meta-Analysis of Econometric Models of Sales. Journal of Marketing Research 25(November) 331–341.CrossRefGoogle Scholar
  99. Telser, L.G. 1962 Advertising and Cigarettes. Journal of Political Economy. 70(October) 471–499.CrossRefGoogle Scholar
  100. Vakratsas, D., T. Ambler. 1999. How Advertising Works: What Do We Really Know? Journal of Marketing 63(January) 26–43.CrossRefGoogle Scholar
  101. Vakratsas, D., F.M. Feinberg, F.M. Bass, G. Kalyanaram. 2004. The Shape of the Advertising Response Functions Revisited: A Model of Dynamic Probabilistic Thresholds. Marketing Science 23(1) 109–119.CrossRefGoogle Scholar
  102. Van Heerde, H.J., S. Gupta, D.R. Wittink. 2003. Is 75% of the Sales Promotion Bump Due to Brand Switching? No, Only 33% Is. Journal of Marketing Research 40(November) 481–491.CrossRefGoogle Scholar
  103. Video Research Limited. 2006. Service and Products.
  104. Villas-Boas, M.J., R.S. Winer. 1999. Endogeneity in Brand Choice Models. Management Science 45(10) 1324–1338.CrossRefGoogle Scholar
  105. West, M., J. Harrison. 1997. Bayesian Forecasting and Dynamic Models. Springer, New York, NY.Google Scholar
  106. Wittink, D.R. 1977. Exploring Territorial Differences in the Relationship Between Marketing Variables. Journal of Marketing Research 14(May) 145–155.CrossRefGoogle Scholar
  107. Wittink, D.R., M.J. Addona, W.J. Hawkes, J.C. Porter. 1988. SCAN*PRO: The Estimation, Validation and Use of Promotional Effects Based on Scanner Data. Working Paper, Cornell University.Google Scholar
  108. Wood, L. 1998. Internet Ad Buys – What Reach and Frequency Do They Deliver?Journal of Advertising Research 38(January) 21–28.Google Scholar
  109. Yang, S., Y. Chen, G.M. Allenby. 2003. Bayesian Analysis of Simultaneous Demand and Supply. Quantitative Marketing and Economics 1 251–304.CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.Melbourne Business School in Australia,University of AucklandNew Zealand

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