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Comparing the Current Effects and Carryover of National-, Regional-, and Local-Sponsor Advertising

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  • HERRINGTON, J. DUNCAN
  • DEMPSEY, WILLIAM A.

Abstract

Coordinating and controlling advertising strategy within contractual and administered vertical marketing systems (VMSs) can be a complex task given the number of channel members involved in the process. Quite often thousands of intermediaries are involved at different levels each with their own objectives and areas of responsibility. Conflict within a VMS can arise when dealers/distributors consider the advertising efforts of the sponsoring organization to be ineffective and vice versa. One of the major issues involves how to allocate the advertising budget throughout the VMS so as to generate the greatest return. To this end we report the results of a study comparing the current and lagged effects of national-sponsor advertising to that of local and regional sponsors within one of the more prominent contractual VMS in the United States—the automobile industry. Using a direct aggregation approach to model advertising carryover at both the industry and individual brand level provides useful information for making decisions regarding the allocation of advertising budgets.

Suggested Citation

  • Herrington, J. Duncan & Dempsey, William A., 2005. "Comparing the Current Effects and Carryover of National-, Regional-, and Local-Sponsor Advertising," Journal of Advertising Research, Cambridge University Press, vol. 45(1), pages 60-72, March.
    • Handle: RePEc:cup:jadres:v:45:y:2005:i:01:p:60-72_05
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    Cited by:

    1. Karray, Salma & Martín-Herrán, Guiomar & Sigué, Simon Pierre, 2022. "Managing advertising investments in marketing channels," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    2. Thomas Niemand & Sascha Kraus & Sophia Mather & Antonio C. Cuenca-Ballester, 0. "Multilevel marketing: optimizing marketing effectiveness for high-involvement goods in the automotive industry," International Entrepreneurship and Management Journal, Springer, vol. 0, pages 1-26.
    3. Li, Yang & Liu, Feng, 2021. "Joint inventory and pricing control with lagged price responses," International Journal of Production Economics, Elsevier, vol. 241(C).
    4. Martín-Herrán, Guiomar & Sigué, Simon P., 2017. "An integrative framework of cooperative advertising: Should manufacturers continuously support retailer advertising?," Journal of Business Research, Elsevier, vol. 70(C), pages 67-73.
    5. Karray, Salma & Martín-Herrán, Guiomar, 2022. "The impact of a store brand introduction in a supply chain with competing manufacturers: The strategic role of pricing and advertising decision timing," International Journal of Production Economics, Elsevier, vol. 244(C).
    6. Aust, Gerhard & Buscher, Udo, 2014. "Cooperative advertising models in supply chain management: A review," European Journal of Operational Research, Elsevier, vol. 234(1), pages 1-14.
    7. Eelco Kappe & Ashley Stadler Blank & Wayne S. DeSarbo, 2014. "A General Multiple Distributed Lag Framework for Estimating the Dynamic Effects of Promotions," Management Science, INFORMS, vol. 60(6), pages 1489-1510, June.
    8. Karray, Salma & Martín-Herrán, Guiomar & Sigué, Simon-Pierre, 2017. "Cooperative advertising for competing manufacturers: The impact of long-term promotional effects," International Journal of Production Economics, Elsevier, vol. 184(C), pages 21-32.
    9. Chen, Chien-Ming & van Dalen, Jan, 2010. "Measuring dynamic efficiency: Theories and an integrated methodology," European Journal of Operational Research, Elsevier, vol. 203(3), pages 749-760, June.
    10. Ralph Breuer & Malte Brettel & Andreas Engelen, 2011. "Incorporating long-term effects in determining the effectiveness of different types of online advertising," Marketing Letters, Springer, vol. 22(4), pages 327-340, November.
    11. F. Gozzi & C. Marinelli & S. Savin, 2009. "On Controlled Linear Diffusions with Delay in a Model of Optimal Advertising under Uncertainty with Memory Effects," Journal of Optimization Theory and Applications, Springer, vol. 142(2), pages 291-321, August.
    12. Thomas Niemand & Sascha Kraus & Sophia Mather & Antonio C. Cuenca-Ballester, 2020. "Multilevel marketing: optimizing marketing effectiveness for high-involvement goods in the automotive industry," International Entrepreneurship and Management Journal, Springer, vol. 16(4), pages 1367-1392, December.
    13. Breuer, Ralph & Brettel, Malte, 2012. "Short- and Long-term Effects of Online Advertising: Differences between New and Existing Customers," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 155-166.
    14. Philip Hans Franses, 2021. "Marketing response and temporal aggregation," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(2), pages 111-117, June.

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