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Performance implications of deploying marketing analytics

Author

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  • Germann, Frank
  • Lilien, Gary L.
  • Rangaswamy, Arvind

Abstract

A few well-documented cases describe how the deployment of marketing analytics produces positive organizational outcomes. However, the deployment of marketing analytics varies widely across firms, and many C-level executives remain skeptical regarding the benefits that they could gain from their marketing analytics efforts. We draw on upper echelons theory and the resource-based view of the firm to develop a conceptual framework that relates the organizational deployment of marketing analytics to firm performance and that also identifies the key antecedents of that deployment. The analysis of a survey of 212 senior executives of Fortune 1000 firms demonstrates that firms attain favorable and apparently sustainable performance outcomes through greater use of marketing analytics. The analysis also reveals important moderators: more intense industry competition and more rapidly changing customer preferences increase the positive impact of the deployment of marketing analytics on firm performance. The results are robust to the choice of performance measures, and, on average, a one-unit increase in the degree of deployment (moving a firm at the median or the 50th percentile of deployment to the 65th percentile) on a 1–7 scale is associated with an 8% increase in return on assets. The analysis also demonstrates that support from the top management team, a supportive analytics culture, appropriate data, information technology support, and analytics skills are all necessary for the effective deployment of marketing analytics.

Suggested Citation

  • Germann, Frank & Lilien, Gary L. & Rangaswamy, Arvind, 2013. "Performance implications of deploying marketing analytics," International Journal of Research in Marketing, Elsevier, vol. 30(2), pages 114-128.
    • Handle: RePEc:eee:ijrema:v:30:y:2013:i:2:p:114-128
    DOI: 10.1016/j.ijresmar.2012.10.001
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    as
    1. Jerry Wind & Paul E. Green & Douglas Shifflet & Marsha Scarbrough, 1989. "Courtyard by Marriott : Designing a Hotel Facility with Consumer-Based Marketing Models," Interfaces, INFORMS, vol. 19(1), pages 25-47, February.
    2. van Bruggen, Gerrit H. & Wierenga, Berend, 2010. "Marketing Decision Making and Decision Support: Challenges and Perspectives for Successful Marketing Management Support Systems," Foundations and Trends(R) in Marketing, now publishers, vol. 4(4), pages 209-332, July.
    3. John D. C. Little, 1970. "Models and Managers: The Concept of a Decision Calculus," Management Science, INFORMS, vol. 16(8), pages 466-485, April.
    4. John D. C. Little, 2004. "Models and Managers: The Concept of a Decision Calculus," Management Science, INFORMS, vol. 50(12_supple), pages 1841-1853, December.
    5. Andris A. Zoltners & Prabhakant Sinha, 2005. "The 2004 ISMS Practice Prize Winner—Sales Territory Design: Thirty Years of Modeling and Implementation," Marketing Science, INFORMS, vol. 24(3), pages 313-331, September.
    6. Andreas Klein & Helfried Moosbrugger, 2000. "Maximum likelihood estimation of latent interaction effects with the LMS method," Psychometrika, Springer;The Psychometric Society, vol. 65(4), pages 457-474, December.
    7. Eugene W. Anderson & Mary W. Sullivan, 1993. "The Antecedents and Consequences of Customer Satisfaction for Firms," Marketing Science, INFORMS, vol. 12(2), pages 125-143.
    8. Stephen J. Hoch & David A. Schkade, 1996. "A Psychological Approach to Decision Support Systems," Management Science, INFORMS, vol. 42(1), pages 51-64, January.
    9. Leonard M. Lodish & Ellen Curtis & Michael Ness & M. Kerry Simpson, 1988. "Sales Force Sizing and Deployment Using a Decision Calculus Model at Syntex Laboratories," Interfaces, INFORMS, vol. 18(1), pages 5-20, February.
    10. Shelby H. McIntyre, 1982. "An Experimental Study of the Impact of Judgment-Based Marketing Models," Management Science, INFORMS, vol. 28(1), pages 17-33, January.
    11. Jorge M. Silva-Risso & Randolph E. Bucklin & Donald G. Morrison, 1999. "A Decision Support System for Planning Manufacturers' Sales Promotion Calendars," Marketing Science, INFORMS, vol. 18(3), pages 274-300.
    12. Ralf Elsner & Manfred Krafft & Arnd Huchzermeier, 2004. "The 2003 ISMS Practice Prize Winner: Optimizing Rhenania's Direct Marketing Business Through Dynamic Multilevel Modeling (DMLM) in a Multicatalog-Brand Environment," Marketing Science, INFORMS, vol. 23(2), pages 192-206, June.
    13. Martin Natter & Andreas Mild & Udo Wagner & Alfred Taudes, 2008. "—Planning New Tariffs at tele.ring: The Application and Impact of an Integrated Segmentation, Targeting, and Positioning Tool," Marketing Science, INFORMS, vol. 27(4), pages 600-609, 07-08.
    14. Raj Echambadi & James D. Hess, 2007. "Mean-Centering Does Not Alleviate Collinearity Problems in Moderated Multiple Regression Models," Marketing Science, INFORMS, vol. 26(3), pages 438-445, 05-06.
    15. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    16. Wayne DeSarbo & William Cron, 1988. "A maximum likelihood methodology for clusterwise linear regression," Journal of Classification, Springer;The Classification Society, vol. 5(2), pages 249-282, September.
    17. Marion Debruyne & David J. Reibstein, 2005. "Competitor See, Competitor Do: Incumbent Entry in New Market Niches," Marketing Science, INFORMS, vol. 24(1), pages 55-66, December.
    18. Ian MacMillan & Mary Lynn McCaffery & Gilles Van Wijk, 1985. "Competitors' responses to easily imitated new products—exploring commercial banking product introductions," Strategic Management Journal, Wiley Blackwell, vol. 6(1), pages 75-86, January.
    19. Albert Satorra & Peter Bentler, 2001. "A scaled difference chi-square test statistic for moment structure analysis," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 507-514, December.
    20. P. K. Kannan & Barbara Kline Pope & Sanjay Jain, 2009. "—Pricing Digital Content Product Lines: A Model and Application for the National Academies Press," Marketing Science, INFORMS, vol. 28(4), pages 620-636, 07-08.
    21. Prabhakant Sinha & Andris A. Zoltners, 2001. "Sales-Force Decision Models: Insights from 25 Years of Implementation," Interfaces, INFORMS, vol. 31(3_supplem), pages 8-44, June.
    22. Carolyne Smart & Ilan Vertinsky, 1984. "Strategy and the environment: A study of corporate responses to crises," Strategic Management Journal, Wiley Blackwell, vol. 5(3), pages 199-213, July.
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