IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v15y1996i1p86-108.html
   My bibliography  Save this article

Effect of Brand Loyalty on Advertising and Trade Promotions: A Game Theoretic Analysis with Empirical Evidence

Author

Listed:
  • Deepak Agrawal

    (Purdue University)

Abstract

In this paper we examine the issue of balancing media advertising (pull strategy) and trade promotions (push strategy) for manufacturers of consumer packaged goods utilizing a three-stage game theoretic analysis and test model's implications with scanner panel data. We develop a model of two competing manufacturers who distribute their brand to consumers through a common retailer. In the model the manufacturers directly advertise their brand to consumers and also provide trade deals to the retailer. Each manufacturer's brand has a loyal segment of consumers who buy their favorite brand unless the competing brand is offered at a much lower price by the retailer. The number of loyal consumers is different for the two brands and so is the strength of their loyalty to their favorite brand. The loyal consumers of the brand with stronger loyalty require a larger price differential in favor of the rival brand before they will switch away from their favorite brand. The manufacturers first decide advertising spending level, and then the wholesale price of their respective brands. The two manufacturers do not observe each other's decisions while making these decisions, however they do take into account how the other firm is likely to react as a function of their own decisions. Advertising directly affects the strength of loyalty a consumer has for the favorite brand. If the favorite brand advertises, the loyalty strength increases but if the rival brand advertises, it decreases. The marginal effect of own versus competing brand advertising is different in magnitude. The two manufacturers provide trade deals to the retailer by discounting the brand from a regular wholesale price. The trade discounts are partially passed on to the consumers by the retailer who sets the retail prices of the two brands after observing the wholesale prices. The retail shelf price discounts make the promoted brand more attractive to the consumers due to the reduced price differential between their favorite brand and the promoted brand, thus affecting their switching behavior. The model and its analysis shed light on the role of brand loyalty in the optimal advertising and trade promotion policies for the two manufacturers. The analysis indicates that, if one brand is sufficiently stronger than the other and if advertising is cost effective, then the stronger brand loyalty requires less advertising than weaker brand loyalty, but a larger loyal segment requires more advertising than a smaller loyal segment. Moreover, stronger brand loyalty requires more trade promotion spending under these conditions. The analysis also indicates that the retailer promotes the stronger loyalty brand more often but provides a smaller price discount for it compared to the weaker loyalty brand. These analytical results can be understood better if we view advertising as a “defensive” strategy used to build brand loyalty which helps in retaining the loyal consumers, and price promotions as an “offensive” strategy used to attract the loyal consumers away from the rival brand. For example, the result that the stronger brand invests less in advertising than the weaker brand can be explained as follows. The stronger loyalty brand does not find use of advertising attractive because it faces little threat from the weaker brand due to its sufficiently stronger loyalty. Instead it spends more on promotions (provided advertising is cost effective) to attract away the weaker brand's loyal consumers. The weaker brand, on the other hand, finds it optimal to defend its loyal franchise by spending more on advertising, as promotions do not help much due to the difficulty in attracting away the stronger brand's loyal consumers. In this sense, the stronger brand plays “offensive” by using more trade promotions, and the weaker brand plays “defensive” by emphasizing advertising. We also conduct an empirical analysis of the model's propositions using scanner panel data on seven frequently purchased nondurable product categories. In a sample of 38 national brands from the seven categories we find that weaker loyalty brands spend more on advertising; brands with larger loyal segment spend more on advertising; and the retailer promotes stronger loyalty brands more often but provides a smaller price discount on average for them compared to weaker loyalty brands. These findings are consistent with the model.

Suggested Citation

  • Deepak Agrawal, 1996. "Effect of Brand Loyalty on Advertising and Trade Promotions: A Game Theoretic Analysis with Empirical Evidence," Marketing Science, INFORMS, vol. 15(1), pages 86-108.
  • Handle: RePEc:inm:ormksc:v:15:y:1996:i:1:p:86-108
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.15.1.86
    Download Restriction: no

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Greg Shaffer & Florian Zettelmeyer, 2004. "Advertising in a Distribution Channel," Marketing Science, INFORMS, vol. 23(4), pages 619-628, November.
    2. Tony Haitao Cui & Jagmohan S. Raju & Z. John Zhang, 2008. "A Price Discrimination Model of Trade Promotions," Marketing Science, INFORMS, vol. 27(5), pages 779-795, 09-10.
    3. Karray Salma & Martín-Herrán Guiomar, 2008. "Investigating the Relationship Between Advertising and Pricing in a Channel with Private Label Offering: A Theoretic Model," Review of Marketing Science, De Gruyter, vol. 6(1), pages 1-39, August.
    4. Huang Rui & Perloff Jeffrey M & Villas-Boas Sofia B, 2006. "Effects of Sales on Brand Loyalty," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 4(1), pages 1-26, July.
    5. Karray, Salma, 2013. "Periodicity of pricing and marketing efforts in a distribution channel," European Journal of Operational Research, Elsevier, vol. 228(3), pages 635-647.
    6. Allender, William J. & Richards, Timothy J., 2009. "Measures of Brand Loyalty," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49536, Agricultural and Applied Economics Association.
    7. Berck, Peter & Brown, Jennifer & Perloff, Jeffrey M. & Villas-Boas, Sofia Berto, 2008. "Sales: Tests of theories on causality and timing," International Journal of Industrial Organization, Elsevier, vol. 26(6), pages 1257-1273, November.
    8. Sang Yong Kim & Richard Staelin, 1999. "Manufacturer Allowances and Retailer Pass-Through Rates in a Competitive Environment," Marketing Science, INFORMS, vol. 18(1), pages 59-76.
    9. Zsolt Katona & Miklos Sarvary, 2008. "Network Formation and the Structure of the Commercial World Wide Web," Marketing Science, INFORMS, vol. 27(5), pages 764-778, 09-10.
    10. Chih-Jen Wang & Ying-Ju Chen & Chi-Cheng Wu, 2011. "Advertising competition and industry channel structure," Marketing Letters, Springer, vol. 22(1), pages 79-99, March.
    11. González-Benito, Óscar, 2004. "Random effects choice models: seeking latent predisposition segments in the context of retail store format selection," Omega, Elsevier, vol. 32(2), pages 167-177, April.
    12. Munawwer Husain, 2015. "The Role of Brand Loyalty: The Case Study of Telekom Malaysia," International Review of Management and Marketing, Econjournals, vol. 5(3), pages 173-179.
    13. repec:oup:ajagec:v:99:y:2017:i:1:p: is not listed on IDEAS
    14. repec:pal:jorsoc:v:61:y:2010:i:2:d:10.1057_jors.2008.159 is not listed on IDEAS
    15. Kusum L. Ailawadi & Bari A. Harlam, 2009. "—Retailer Promotion Pass-Through: A Measure, Its Magnitude, and Its Determinants," Marketing Science, INFORMS, vol. 28(4), pages 782-791, 07-08.
    16. Nickolay V. Moshkin & Ron Shachar, 2002. "The Asymmetric Information Model of State Dependence," Marketing Science, INFORMS, pages 435-454.
    17. Rajiv Lal & J. Miguel Villas-Boas, 1998. "Price Promotions and Trade Deals with Multiproduct Retailers," Management Science, INFORMS, vol. 44(7), pages 935-949, July.
    18. K. Sudhir, 2001. "Structural Analysis of Manufacturer Pricing in the Presence of a Strategic Retailer," Marketing Science, INFORMS, pages 244-264.
    19. Michael A. Wiles & Shailendra P. Jain & Saurabh Mishra & Charles Lindsey, 2010. "Stock Market Response to Regulatory Reports of Deceptive Advertising: The Moderating Effect of Omission Bias and Firm Reputation," Marketing Science, INFORMS, vol. 29(5), pages 828-845, 09-10.
    20. Sheng, Li, 2010. "Competing or cooperating to host mega events: A simple model," Economic Modelling, Elsevier, vol. 27(1), pages 375-379, January.
    21. Lim, Wei Shi & Tan, Soo Jiuan, 2010. "Outsourcing suppliers as downstream competitors: Biting the hand that feeds," European Journal of Operational Research, Elsevier, vol. 203(2), pages 360-369, June.
    22. Tansev Geylani & Anthony J. Dukes & Kannan Srinivasan, 2007. "Strategic Manufacturer Response to a Dominant Retailer," Marketing Science, INFORMS, vol. 26(2), pages 164-178, 03-04.
    23. Kevin Lane Keller & Donald R. Lehmann, 2006. "Brands and Branding: Research Findings and Future Priorities," Marketing Science, INFORMS, vol. 25(6), pages 740-759, 11-12.
    24. Jalal Hanaysha & Haim Hilman, 2015. "Advertising and country of origin as key success factors for creating sustainable brand equity," Journal of Asian Business Strategy, Asian Economic and Social Society, vol. 5(7), pages 141-152, July.
    25. repec:eee:jbrese:v:81:y:2017:i:c:p:173-180 is not listed on IDEAS

    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:15:y:1996:i:1:p:86-108. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mirko Janc). General contact details of provider: http://edirc.repec.org/data/inforea.html .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.