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Building Brands

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  • M. Berk Ataman

    (Rotterdam School of Management, Erasmus University, 3000 DR Rotterdam, The Netherlands)

  • Carl F. Mela

    (Fuqua Business School, Duke University, Durham, North Carolina 27708)

  • Harald J. van Heerde

    (Waikato Management School, University of Waikato, Hamilton 3240, New Zealand, and CentER, Tilburg University, 5000 LE Tilburg, The Netherlands)

Abstract

Which marketing strategies are most effective for introducing new brands? This paper sheds light on this question by ascribing growth performance to firms' postlaunch marketing choices. We decompose the success of a new brand into its ultimate market potential and the rate at which it achieves this potential. To achieve this aim we formulate a Bayesian dynamic linear model (DLM) of repeat purchase diffusion wherein growth and market potential are directly linked to the new brand's long-term advertising, promotion, distribution, and product strategy. We perform the analysis on 225 new-brand introductions across 22 repeat-purchase product categories over five years to develop generalized findings about the correlates of new-brand success. We find that access to distribution breadth plays the greatest role in the success of a new brand, and that investments in distribution and product innovation lead to greater marginal increases in sales for new brands than either discounting, feature/display, or advertising. Moreover, distribution interacts with other strategies to enhance their effectiveness. These findings underscore the utility of extending marketing mix models of new-brand performance to include product and distribution decisions.

Suggested Citation

  • M. Berk Ataman & Carl F. Mela & Harald J. van Heerde, 2008. "Building Brands," Marketing Science, INFORMS, vol. 27(6), pages 1036-1054, 11-12.
  • Handle: RePEc:inm:ormksc:v:27:y:2008:i:6:p:1036-1054
    DOI: 10.1287/mksc.1080.0358
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    References listed on IDEAS

    as
    1. Anita Elberse & Jehoshua Eliashberg, 2003. "Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures," Marketing Science, INFORMS, vol. 22(3), pages 329-354.
    2. Jehoshua Eliashberg & Abel P. Jeuland, 1986. "The Impact of Competitive Entry in a Developing Market Upon Dynamic Pricing Strategies," Marketing Science, INFORMS, vol. 5(1), pages 20-36.
    3. 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.
    4. Jan-Benedict E. M. Steenkamp & Vincent R. Nijs & Dominique M. Hanssens & Marnik G. Dekimpe, 2005. "Competitive Reactions to Advertising and Promotion Attacks," Marketing Science, INFORMS, vol. 24(1), pages 35-54, September.
    5. Frank M. Bass & Trichy V. Krishnan & Dipak C. Jain, 1994. "Why the Bass Model Fits without Decision Variables," Marketing Science, INFORMS, vol. 13(3), pages 203-223.
    6. Robert E. Krider & Tieshan Li & Yong Liu & Charles B. Weinberg, 2005. "The Lead-Lag Puzzle of Demand and Distribution: A Graphical Method Applied to Movies," Marketing Science, INFORMS, vol. 24(4), pages 635-645, April.
    7. Ramya Neelamegham & Pradeep Chintagunta, 1999. "A Bayesian Model to Forecast New Product Performance in Domestic and International Markets," Marketing Science, INFORMS, vol. 18(2), pages 115-136.
    8. Keane, Michael P, 1997. "Modeling Heterogeneity and State Dependence in Consumer Choice Behavior," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 310-327, July.
    9. Shlomo Kalish & Gary L. Lilien, 1986. "A Market Entry Timing Model for New Technologies," Management Science, INFORMS, vol. 32(2), pages 194-205, February.
    10. Steenkamp, Jan-Benedict E M & Gielens, Katrijn, 2003. "Consumer and Market Drivers of the Trial Probability of New Consumer Packaged Goods," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(3), pages 368-384, December.
    11. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    12. Dan Horsky, 1990. "A Diffusion Model Incorporating Product Benefits, Price, Income and Information," Marketing Science, INFORMS, vol. 9(4), pages 342-365.
    13. Christophe Van den Bulte & Yogesh V. Joshi, 2007. "New Product Diffusion with Influentials and Imitators," Marketing Science, INFORMS, vol. 26(3), pages 400-421, 05-06.
    14. Günter J. Hitsch, 2006. "An Empirical Model of Optimal Dynamic Product Launch and Exit Under Demand Uncertainty," Marketing Science, INFORMS, vol. 25(1), pages 25-50, 01-02.
    15. Gary L. Lilien & Ambar G. Rao & Shlomo Kalish, 1981. "Bayesian Estimation and Control of Detailing Effort in a Repeat Purchase Diffusion Environment," Management Science, INFORMS, vol. 27(5), pages 493-506, May.
    16. Shlomo Kalish, 1983. "Monopolist Pricing with Dynamic Demand and Production Cost," Marketing Science, INFORMS, vol. 2(2), pages 135-159.
    17. Dan Horsky & Karl Mate, 1988. "Dynamic Advertising Strategies of Competing Durable Good Producers," Marketing Science, INFORMS, vol. 7(4), pages 356-367.
    18. Rogers, Everett M, 1976. "New Product Adoption and Diffusion," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(4), pages 290-301, March.
    19. Eric T. Anderson & Duncan I. Simester, 2004. "Long-Run Effects of Promotion Depth on New Versus Established Customers: Three Field Studies," Marketing Science, INFORMS, vol. 23(1), pages 4-20, February.
    20. Christophe Van den Bulte, 2000. "New Product Diffusion Acceleration: Measurement and Analysis," Marketing Science, INFORMS, vol. 19(4), pages 366-380, June.
    21. Koen Pauwels & Dominique M. Hanssens, 2007. "Performance Regimes and Marketing Policy Shifts," Marketing Science, INFORMS, vol. 26(3), pages 293-311, 05-06.
    22. Engelbert Dockner & Steffen Jørgensen, 1988. "Optimal Advertising Policies for Diffusion Models of New Product Innovation in Monopolistic Situations," Management Science, INFORMS, vol. 34(1), pages 119-130, January.
    23. Ambar G. Rao & Masataka Yamada, 1988. "Forecasting with a Repeat Purchase Diffusion Model," Management Science, INFORMS, vol. 34(6), pages 734-752, June.
    24. Joe A. Dodson, Jr. & Eitan Muller, 1978. "Models of New Product Diffusion Through Advertising and Word-of-Mouth," Management Science, INFORMS, vol. 24(15), pages 1568-1578, November.
    25. Dan Horsky & Leonard S. Simon, 1983. "Advertising and the Diffusion of New Products," Marketing Science, INFORMS, vol. 2(1), pages 1-17.
    26. Frank M. Bass & Alain V. Bultez, 1982. "Technical Note—A Note on Optimal Strategic Pricing of Technological Innovations," Marketing Science, INFORMS, vol. 1(4), pages 371-378.
    27. Bart J. Bronnenberg & Carl F. Mela, 2004. "Market Roll-Out and Retailer Adoption for New Brands," Marketing Science, INFORMS, vol. 23(4), pages 500-518, September.
    28. Lynn O. Wilson & John A. Norton, 1989. "Optimal Entry Timing for a Product Line Extension," Marketing Science, INFORMS, vol. 8(1), pages 1-17.
    29. Gerard J. Tellis & Philip Hans Franses, 2006. "Optimal Data Interval for Estimating Advertising Response," Marketing Science, INFORMS, vol. 25(3), pages 217-229, 05-06.
    30. K. Sridhar Moorthy & I. P. L. Png, 1992. "Market Segmentation, Cannibalization, and the Timing of Product Introductions," Management Science, INFORMS, vol. 38(3), pages 345-359, March.
    31. Jain, Dipak C & Rao, Ram C, 1990. "Effect of Price on the Demand for Durables: Modeling, Estimation, and Findings," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 163-170, April.
    32. Harald Van Heerde & Kristiaan Helsen & Marnik G. Dekimpe, 2007. "The Impact of a Product-Harm Crisis on Marketing Effectiveness," Marketing Science, INFORMS, vol. 26(2), pages 230-245, 03-04.
    33. Gerard J. Tellis & Stefan Stremersch & Eden Yin, 2003. "The International Takeoff of New Products: The Role of Economics, Culture, and Country Innovativeness," Marketing Science, INFORMS, vol. 22(2), pages 188-208, October.
    34. Frank M. Bass & Norris Bruce & Sumit Majumdar & B. P. S. Murthi, 2007. "Wearout Effects of Different Advertising Themes: A Dynamic Bayesian Model of the Advertising-Sales Relationship," Marketing Science, INFORMS, vol. 26(2), pages 179-195, 03-04.
    35. Robert P. Leone, 1995. "Generalizing What Is Known About Temporal Aggregation and Advertising Carryover," Marketing Science, INFORMS, vol. 14(3_supplem), pages 141-150.
    36. Minhi Hahn & Sehoon Park & Lakshman Krishnamurthi & Andris A. Zoltners, 1994. "Analysis of New Product Diffusion Using a Four-Segment Trial-Repeat Model," Marketing Science, INFORMS, vol. 13(3), pages 224-247.
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