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Multilevel marketing: optimizing marketing effectiveness for high-involvement goods in the automotive industry

Author

Listed:
  • Thomas Niemand

    (Clausthal University of Technology)

  • Sascha Kraus

    (Durham University)

  • Sophia Mather

    (ESCE International Business School)

  • Antonio C. Cuenca-Ballester

    (Universitat de València)

Abstract

With a surge in communication channels increasing the complexity of today’s media landscape, companies face new challenges concerning the allocation of their advertising budget. As consumers become increasingly more autonomous in gathering information from the channels they deem most suitable, they encounter several touchpoints on their customer journey. Marketers struggle with the assessment of channel effectiveness. Despite a rise in research on the topic of attribution, findings and methodology vary greatly regarding variables and outcomes. The question of how to determine suitable attribution modeling that optimizes advertising effectiveness thus remains unanswered. This article aims at assessing which factors influence channel effectiveness in the context of high-involvement goods. Based on a unique dataset from a multinational car manufacturer, a Structural Vector Autoregressive model has been formulated revealing channel interactions, lagged effects of advertising and conversion funnel stages as being highly influential factors concerning channel effectiveness.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:intemj:v:16:y:2020:i:4:d:10.1007_s11365-020-00669-8
    DOI: 10.1007/s11365-020-00669-8
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    as
    1. Kamel Jedidi & Carl F. Mela & Sunil Gupta, 1999. "Managing Advertising and Promotion for Long-Run Profitability," Marketing Science, INFORMS, vol. 18(1), pages 1-22.
    2. Shankar, Venkatesh & Inman, J. Jeffrey & Mantrala, Murali & Kelley, Eileen & Rizley, Ross, 2011. "Innovations in Shopper Marketing: Current Insights and Future Research Issues," Journal of Retailing, Elsevier, vol. 87(S1), pages 29-42.
    3. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    4. Nitin Mehta & Surendra Rajiv & Kannan Srinivasan, 2003. "Price Uncertainty and Consumer Search: A Structural Model of Consideration Set Formation," Marketing Science, INFORMS, vol. 22(1), pages 58-84, June.
    5. Maurice W. Sasieni, 1971. "Optimal Advertising Expenditure," Management Science, INFORMS, vol. 18(4-Part-II), pages 64-72, December.
    6. Thorsten Wiesel & Koen Pauwels & Joep Arts, 2011. "Practice Prize Paper --Marketing's Profit Impact: Quantifying Online and Off-line Funnel Progression," Marketing Science, INFORMS, vol. 30(4), pages 604-611, July.
    7. Shuba Srinivasan & Koen Pauwels & Dominique M. Hanssens & Marnik G. Dekimpe, 2004. "Do Promotions Benefit Manufacturers, Retailers, or Both?," Management Science, INFORMS, vol. 50(5), pages 617-629, May.
    8. de Haan, Evert & Wiesel, Thorsten & Pauwels, Koen, 2016. "The effectiveness of different forms of online advertising for purchase conversion in a multiple-channel attribution framework," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 491-507.
    9. 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.
    10. Leeflang, P.S.H. & Wittink, Dick R., 2000. "Building models for marketing decisions: past, present and future," Research Report 00F20, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    11. Naik, Prasad A. & Peters, Kay, 2009. "A Hierarchical Marketing Communications Model of Online and Offline Media Synergies," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 288-299.
    12. Ron Berman & Zsolt Katona, 2013. "The Role of Search Engine Optimization in Search Marketing," Marketing Science, INFORMS, vol. 32(4), pages 644-651, July.
    13. Anderl, Eva & Schumann, Jan Hendrik & Kunz, Werner, 2016. "Helping Firms Reduce Complexity in Multichannel Online Data: A New Taxonomy-Based Approach for Customer Journeys," Journal of Retailing, Elsevier, vol. 92(2), pages 185-203.
    14. Peter J. Danaher & Janghyuk Lee & Laoucine Kerbache, 2010. "Optimal Internet Media Selection," Marketing Science, INFORMS, vol. 29(2), pages 336-347, 03-04.
    15. Pauwels, Koen & Demirci, Ceren & Yildirim, Gokhan & Srinivasan, Shuba, 2016. "The impact of brand familiarity on online and offline media synergy," International Journal of Research in Marketing, Elsevier, vol. 33(4), pages 739-753.
    16. repec:dgr:rugsom:00f20 is not listed on IDEAS
    17. Dijkstra, Majorie & Buijtels, Heidi E. J. J. M. & van Raaij, W. Fred, 2005. "Separate and joint effects of medium type on consumer responses: a comparison of television, print, and the Internet," Journal of Business Research, Elsevier, vol. 58(3), pages 377-386, March.
    18. Patrali Chatterjee & Donna L. Hoffman & Thomas P. Novak, 2003. "Modeling the Clickstream: Implications for Web-Based Advertising Efforts," Marketing Science, INFORMS, vol. 22(4), pages 520-541, May.
    19. Wendy W. Moe & Peter S. Fader, 2004. "Dynamic Conversion Behavior at E-Commerce Sites," Management Science, INFORMS, vol. 50(3), pages 326-335, March.
    20. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    21. Chen Lin & Sriram Venkataraman & Sandy D. Jap, 2013. "Media Multiplexing Behavior: Implications for Targeting and Media Planning," Marketing Science, INFORMS, vol. 32(2), pages 310-324, March.
    22. Xavier Drèze & André Bonfrer, 2009. "Moving from customer lifetime value to customer equity," Quantitative Marketing and Economics (QME), Springer, vol. 7(3), pages 289-320, September.
    23. Michael Braun & Wendy W. Moe, 2013. "Online Display Advertising: Modeling the Effects of Multiple Creatives and Individual Impression Histories," Marketing Science, INFORMS, vol. 32(5), pages 753-767, September.
    24. Hauser, John R & Wernerfelt, Birger, 1990. "An Evaluation Cost Model of Consideration Sets," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(4), pages 393-408, March.
    25. Anderl, Eva & Becker, Ingo & von Wangenheim, Florian & Schumann, Jan Hendrik, 2016. "Mapping the customer journey: Lessons learned from graph-based online attribution modeling," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 457-474.
    26. Raman, Kalyan & Mantrala, Murali K. & Sridhar, Shrihari & Tang, Yihui (Elina), 2012. "Optimal Resource Allocation with Time-varying Marketing Effectiveness, Margins and Costs," Journal of Interactive Marketing, Elsevier, vol. 26(1), pages 43-52.
    27. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    28. Shyam Gopinath & Jacquelyn S. Thomas & Lakshman Krishnamurthi, 2014. "Investigating the Relationship Between the Content of Online Word of Mouth, Advertising, and Brand Performance," Marketing Science, INFORMS, vol. 33(2), pages 241-258, March.
    29. Robert P. Leone, 1995. "Generalizing What Is Known About Temporal Aggregation and Advertising Carryover," Marketing Science, INFORMS, vol. 14(3_supplem), pages 141-150.
    30. Tat Y. Chan & Chunhua Wu & Ying Xie, 2011. "Measuring the Lifetime Value of Customers Acquired from Google Search Advertising," Marketing Science, INFORMS, vol. 30(5), pages 837-850, September.
    31. Lizhen Xu & Jason A. Duan & Andrew Whinston, 2014. "Path to Purchase: A Mutually Exciting Point Process Model for Online Advertising and Conversion," Management Science, INFORMS, vol. 60(6), pages 1392-1412, June.
    32. Anindya Ghose & Sha Yang, 2009. "An Empirical Analysis of Search Engine Advertising: Sponsored Search in Electronic Markets," Management Science, INFORMS, vol. 55(10), pages 1605-1622, October.
    33. Tsao, James C. & Sibley, Stanley D., 2004. "Displacement and Reinforcement Effects of the Internet and Other Media as Sources of Advertising Information," Journal of Advertising Research, Cambridge University Press, vol. 44(1), pages 126-142, March.
    34. Randall A. Lewis & Justin M. Rao, 2015. "The Unfavorable Economics of Measuring the Returns to Advertising," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1941-1973.
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