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Goodwill and dynamic advertising strategies

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Abstract

In this paper, we empirically analyze weekly advertising policies of manufacturing firms in consumer goods markets. We assume firms engage in persuasive advertising, thus policies of firms affect the goodwill of a brand. We introduce a demand and a goodwill production function. A simple transformation of the demand function allows us to identify not only the demand parameters but also the parameters of the goodwill production function. We reconstruct the unobserved goodwill levels using these parameters and past advertising levels. We restrict our attention to Markov Perfect Equilibrium (MPE) strategies which are functions of payoff relevant state variables. Without imposing further restrictions on the dynamic competitive environment, we investigate the relationship between observed advertising strategies—which are assumed to be MPE—and payoff relevant state variables by means of several reduced form specifications. The most important determinant of advertising intensity turns out to be goodwill. We demonstrate that controlling for an advertising campaign significantly improves the explanatory power of the model.

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References

  • Basar, T., & Oldser, G. (1982). Dynamic noncooperative game theory. New York: Academic Press.

    Google Scholar 

  • Berry, S. T. (1994). Estimating discrete choice models of product differentiation. RAND Journal of Economics, 25, 242–262.

    Google Scholar 

  • Besanko, D., Gupta S., & Jain D. (1998). Logit demand estimation under competitive pricing behavior: An equilibrium framework. Management Science, 44 (Part 1 of 2), 1533–1547.

    Google Scholar 

  • Bresnahan, T. F. (1989). Empirical studies of industries with market power. In: R. Schmalensee and R. D. Willig (eds.), Handbook of industrial organization, (pp. 1011–1057) Amsterdamm: Elsevier Science Publisher B. V.

    Google Scholar 

  • Cardell, N. S. (1991). Variance components structures for the extreme value and logistic distributions. Mimeo, Washington State University.

  • Cheng, F., & Sethi, S. (1999). A periodic review inventory model with demand influenced by promotion decisions. Management Science, 45, 1510–1523.

    Google Scholar 

  • Chintagunta, P. K., & Vilcassim, N. J. (1992). An empirical investigation of advertising strategies in a dynamic duopoly. Management Science, 38, 1230–1244.

    Google Scholar 

  • Christen, M., Gupta, S., Porter, J. C., Staelin, R., & Wittink, D. R. (1997). Using market-level data to understand promotion effects in a nonlinear model. Journal of Marketing Research, 34, 322–334.

    Google Scholar 

  • Deal, K. R. (1979). Optimizing advertising expenditures in a dynamic duopoly. Operations Research, 27, 682–692.

    Google Scholar 

  • Doraszelski, U., & Markovich, S. (2004). Advertising dynamics and competitive advantage. Working Paper, July 30, 2004.

  • Dube, J.-P., Hitsch, G. J., & Manchanda, P. (2005). An empirical model of advertising dynamics. Quantitative Marketing and Economics, 3, 107–144.

    Google Scholar 

  • Erickson, G. M. (1985). A model of advertising competition. Journal of Marketing Research, 22, 297–304.

    Google Scholar 

  • Erickson, G. M. (1992). Empirical analysis of closed-loop duopoly advertising strategies. Management Science, 38, 1732–1749.

    Google Scholar 

  • Erickson, G. M. (1995). Advertising strategies in a dynamic oligopoly. Journal of Marketing Research, 32, 233–237.

    Google Scholar 

  • Espinosa, M. P., & Mariel, P. (2001). A model of optimal advertising expenditures in a dynamic duopoly. Atlantic Economic Journal, 29, 135–161.

    Article  Google Scholar 

  • Feinberg, F. M. (2001). On continuous-time optimal advertising under S-shaped response. Management Science, 47, 1476–1487.

    Article  Google Scholar 

  • Fruchter, G. E., & Kalish, S. (1997). Closed-loop advertising strategies in a duopoly. Management Science, 43, 54–63.

    Google Scholar 

  • Hahn, M., & Hyun, J. (1991). Advertising cost interactions and the optimality of pulsing. Management Science, 37, 157–169.

    Google Scholar 

  • Hall, G., & Rust, J. (2000). The (S,s) rule is an optimal trading strategy in a class of commodity price speculation problems. Working Paper, March 2000.

  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46, 1251–1271.

    Google Scholar 

  • Klapper, D., & Doganoglu, T. (2004). Product Variety and Competitive Pricing in Consumer Goods Markets. mimeo.

  • Mahajan, V., & Muller, E. (1986). Advertising pulsing policies for generating awareness for new products. Marketing Science, 5, 89–111.

    Google Scholar 

  • Maskin, E., & Tirole, J. (1988). A theory of dynamic oligopoly, I: Overview and quantity competition with large fixed costs. Econometrica, 56, 549–569.

    Google Scholar 

  • McFadden, D. (1978). Modelling the choice of residential location. In: Karlqvist, A., Lundqvist, L., Snickars, F. and Weibull, J. (eds.), Spatial interaction theory and planning models (pp. 75–96). Amsterdam: North Holland.

    Google Scholar 

  • Mesak, H. I. (1999). On the generalizability of advertising pulsation monopoly results to an oligopoly. European Journal of Operational Research, 117, 429–449.

    Article  Google Scholar 

  • Mesak, H. I., & Calloway, J. A. (1995a). A pulsing model of advertising competition: a game theoretic approach. part a—theoretical foundation. European Journal of Operational Research, 86, 231–248.

    Google Scholar 

  • Mesak, H. I., & Calloway, J. A. (1995b). A pulsing model of advertising competition: A game theoretic approach, part b—empirical application and findings. European Journal of Operational Research, 86, 422–433.

    Google Scholar 

  • Mesak, H. I., & Darrat, A. F. (1992). On comparing alternative advertising policies of pulsation. Decision Sciences, 32, 541–564.

    Google Scholar 

  • Pakes, A., & McGuire, P. (1994). Computing markov-perfect nash equilibria: numerical implications of a dynamic differentiated product model. RAND Journal of Economics, 25, 555–589.

    Google Scholar 

  • Rao, R. C. (1990). Impact of competition on strategic marketing decisions. In: G. Day, B. Weitz and R. Wensley (eds.), Interface of marketing and strategy. JAI Press, Greenwich. CT 1990.

  • Sasieni, M. W. (1971). Optimal advertising expenditure. Management Science, 18 (Part II), 64–72.

    Google Scholar 

  • Sasieni, M. W. (1989). Optimal advertising strategies. Marketing Science, 8, 358–370.

    Google Scholar 

  • Sorger, G. (1988). Competitive dynamic advertising: A modification of the case game. Journal of Economic Dynamics and Control, 13, 55–80.

    Google Scholar 

  • Sudhir, K. (2001). Structural analysis of manufacturer pricing in the presence of a strategic retailer. Marketing Science, 20, 244–264.

    Google Scholar 

  • Tellis, G. J. and Weiss, D. L. (1995). Does TV advertising really affect sales? the role of measures, models, and data aggregation. Journal of Advertising, 24, 1–12.

    Google Scholar 

  • Vakratsas, D. and Ambler, T. (1999). How advertising works: what do we really know? Journal of Marketing, 63, 26–43.

    Google Scholar 

  • Vakratsas, D., Feinberg, F. M., Bass, F. M. and Kalyanaram, G. (2004). The shape of advertising response functions revisited: a model of dynamic probabilistic thresholds. Marketing Science, 23, 109–119.

    Article  Google Scholar 

  • Villas-Boas, J. M. (1993). Predicting advertising pulsing policies in an oligopoly: a model and empirical test. Marketing Science, 12, 88–102.

    Google Scholar 

  • Villas-Boas, J. M. and Winer, R. S. (1999). Endogeneity in ‘brand choice models. Management Science, 45, 1324–1338.

    Google Scholar 

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Correspondence to Toker Doganoglu.

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JEL Classification L13 . C73 . M30 . M37

I would like to thank Volkswagen Stiftung for the generous financial support which made this research possible.

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Doganoglu, T., Klapper, D. Goodwill and dynamic advertising strategies. Quant Market Econ 4, 5–29 (2006). https://doi.org/10.1007/s11129-006-6558-y

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