 Using genetic algorithms to assess the impact of pricing activity timingBruce R. Klemz Omega, 1999, vol. 27, issue 3, 363-372 Abstract: Current methods of assessing competitive structure from aggregate sales data, such as the estimating of marketing mix elasticities, offer insight into the magnitude and direction of competitive actions. However, this level of analysis offers no insight into the impact that the timing of such mix activity has on one's market share. In this research, I illustrate a method of assessing market structure by utilizing the timing of competitive mix activity. Specifically, using a genetic algorithm approach, I estimate marketing mix timing rules for a consumer product market. This research illustrates the ability of these marketing mix timing rules to assess the impact that the timing of competitive mix activity has on one's market share. In addition, I show that these marketing mix timing rules offer strategic insight that can complement existing methods of assessing competitors using aggregate sales data, such as elasticity analysis, thereby improving the brand manager's understanding of the competitive structure of the market. Keywords: Market; structure; Marketing; strategy; Marketing; mix; timing; Genetic; algorithms (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:27:y:1999:i:3:p:363-372 Ordering information: This journal article can be ordered from Access Statistics for this article Omega is currently edited by B. Lev More articles in Omega from Elsevier |
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