1982
DOI: 10.1287/mnsc.28.11.1313
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Optimal and Near Optimal Price and Advertising Strategies for Finite and Infinite Horizons

Abstract: The simplest price and advertising optimization model consistent with current empirical research is formulated and analyzed. An explicit horizon function is introduced to compare and synthesize the finite and infinite horizon situations. The practically prevalent procedure of setting this period's advertising expenditure proportional to the previous period's sales is, for good reasons, declared near optimal.marketing, advertising rules

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Cited by 12 publications
(5 citation statements)
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“…Furthermore, it can be easily converted into an additive form with the log transformation. Hence, iso-elastic demand functions have been widely employed in many empirical and analytical studies; see, for example, Grabowski [18], Murray and Ginman [33], Welam [45], Oum et al [34], Hoch et al [23], and Petruzzi and Dada [35]. Recently, Song et al [40] have demonstrated various analytical benefits of demand functions with small and nondecreasing "curvature."…”
Section: The Modelmentioning
confidence: 99%
“…Furthermore, it can be easily converted into an additive form with the log transformation. Hence, iso-elastic demand functions have been widely employed in many empirical and analytical studies; see, for example, Grabowski [18], Murray and Ginman [33], Welam [45], Oum et al [34], Hoch et al [23], and Petruzzi and Dada [35]. Recently, Song et al [40] have demonstrated various analytical benefits of demand functions with small and nondecreasing "curvature."…”
Section: The Modelmentioning
confidence: 99%
“…Such targeting might imply different advertising copy or intensity of advertising for the sensitive and relatively less sensitive segments. Finally, marketing models which are used to assist managers in allocation of promotion and advertising budgets involve assumptions about the nature of the interaction between price and advertising (Welam 1982). The implication of our research is that the interaction is likely to be negative and that a distinction must be made between consumer segments.…”
Section: Implcations and Conclusion For Purchase Quantity At Every mentioning
confidence: 92%
“…One of the earliest and most influential models in this regard is that of Nerlove and Arrow (1962), who optimize the advertising policy under dynamic conditions with the objective of maximizing profit. Several extensions of the Nerlove-Arrow model have also been studied in literature (Welam 1982, Rao 1985, Tapiero 1988, Erickson 2011.…”
Section: Dynamic Optimization Of Advertising Effortmentioning
confidence: 99%