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The state of marketing analytics in research and practice

Author

Listed:
  • Dawn Iacobucci

    (Vanderbilt University)

  • Maria Petrescu

    (ICN Business School Artem
    Colorado State University)

  • Anjala Krishen

    (University of Nevada Las Vegas)

  • Michael Bendixen

    (University of Pretoria)

Abstract

This paper presents a systematic review of marketing research on the burgeoning new area of “marketing analytics” and considers the importance of marketing analytics for marketing research and practice. This article contributes to the marketing literature with a systematic review of studies and findings on marketing analytics, which allow for further recommendations. We identify the central themes and concepts related to marketing analytics present in marketing research and provide a comparison between the focus of marketing research, practice, and academics regarding this topic. The study also provides practitioners with a summary of the current findings and a more natural way to translate and apply theoretical findings in practice. Academics can also use these results in the classroom to promote and demonstrate the importance and benefits of marketing analytics.

Suggested Citation

  • Dawn Iacobucci & Maria Petrescu & Anjala Krishen & Michael Bendixen, 2019. "The state of marketing analytics in research and practice," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 152-181, September.
    • Handle: RePEc:pal:jmarka:v:7:y:2019:i:3:d:10.1057_s41270-019-00059-2
    DOI: 10.1057/s41270-019-00059-2
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    References listed on IDEAS

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    1. Ho, Ying & Chung, Yuho & Lau, Kin-nam, 2010. "Unfolding large-scale marketing data," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 119-132.
    2. Hoppner, Jessica J. & Griffith, David A., 2015. "Looking Back to Move Forward: A Review of the Evolution of Research in International Marketing Channels," Journal of Retailing, Elsevier, vol. 91(4), pages 610-626.
    3. Germann, Frank & Lilien, Gary L. & Fiedler, Lars & Kraus, Matthias, 2014. "Do Retailers Benefit from Deploying Customer Analytics?," Journal of Retailing, Elsevier, vol. 90(4), pages 587-593.
    4. Xu, Zhenning & Frankwick, Gary L. & Ramirez, Edward, 2016. "Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective," Journal of Business Research, Elsevier, vol. 69(5), pages 1562-1566.
    5. Aggarwal, Praveen & Vaidyanathan, Rajiv & Venkatesh, Alladi, 2009. "Using Lexical Semantic Analysis to Derive Online Brand Positions: An Application to Retail Marketing Research," Journal of Retailing, Elsevier, vol. 85(2), pages 145-158.
    6. Harikesh S. Nair & Sanjog Misra & William J. Hornbuckle IV & Ranjan Mishra & Anand Acharya, 2017. "Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation," Marketing Science, INFORMS, vol. 36(5), pages 699-725, September.
    7. V Kumar & Amalesh Sharma & Shaphali Gupta, 2017. "Accessing the influence of strategic marketing research on generating impact: moderating roles of models, journals, and estimation approaches," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 164-185, March.
    8. Tuck Siong Chung & Michel Wedel & Roland T. Rust, 2016. "Adaptive personalization using social networks," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 66-87, January.
    9. 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.
    10. Oded Netzer & Ronen Feldman & Jacob Goldenberg & Moshe Fresko, 2012. "Mine Your Own Business: Market-Structure Surveillance Through Text Mining," Marketing Science, INFORMS, vol. 31(3), pages 521-543, May.
    11. Michael Trusov & Liye Ma & Zainab Jamal, 2016. "Crumbs of the Cookie: User Profiling in Customer-Base Analysis and Behavioral Targeting," Marketing Science, INFORMS, vol. 35(3), pages 405-426, May.
    12. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    13. Lilien, Gary L., 2016. "The B2B Knowledge Gap," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 543-556.
    14. Ming-Hui Huang & Roland T. Rust, 2017. "Technology-driven service strategy," Journal of the Academy of Marketing Science, Springer, vol. 45(6), pages 906-924, November.
    15. Anjala S. Krishen & Maria Petrescu, 2017. "The world of analytics: interdisciplinary, inclusive, insightful, and influential," Journal of Marketing Analytics, Palgrave Macmillan, vol. 5(1), pages 1-4, March.
    16. Kelly D. Martin & Patrick E. Murphy, 2017. "The role of data privacy in marketing," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 135-155, March.
    17. Daniel M. Ringel & Bernd Skiera, 2016. "Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data," Marketing Science, INFORMS, vol. 35(3), pages 511-534, May.
    18. Gunasekaran, Angappa & Papadopoulos, Thanos & Dubey, Rameshwar & Wamba, Samuel Fosso & Childe, Stephen J. & Hazen, Benjamin & Akter, Shahriar, 2017. "Big data and predictive analytics for supply chain and organizational performance," Journal of Business Research, Elsevier, vol. 70(C), pages 308-317.
    19. Skiera Bernd, 2016. "Data, Data and Even More Data: Harvesting Insights From the Data Jungle," NIM Marketing Intelligence Review, Sciendo, vol. 8(2), pages 10-17, November.
    20. Alves, Helena & Fernandes, Cristina & Raposo, Mário, 2016. "Value co-creation: Concept and contexts of application and study," Journal of Business Research, Elsevier, vol. 69(5), pages 1626-1633.
    21. Aron Culotta & Jennifer Cutler, 2016. "Mining Brand Perceptions from Twitter Social Networks," Marketing Science, INFORMS, vol. 35(3), pages 343-362, May.
    22. Bradlow, Eric T. & Gangwar, Manish & Kopalle, Praveen & Voleti, Sudhir, 2017. "The Role of Big Data and Predictive Analytics in Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 79-95.
    23. Rajkumar Venkatesan, 2017. "Executing on a customer engagement strategy," Journal of the Academy of Marketing Science, Springer, vol. 45(3), pages 289-293, May.
    24. Dominique M. Hanssens & Koen H. Pauwels & Shuba Srinivasan & Marc Vanhuele & Gokhan Yildirim, 2014. "Consumer Attitude Metrics for Guiding Marketing Mix Decisions," Marketing Science, INFORMS, vol. 33(4), pages 534-550, July.
    25. Persson, Andreas & Ryals, Lynette, 2014. "Making customer relationship decisions: Analytics v rules of thumb," Journal of Business Research, Elsevier, vol. 67(8), pages 1725-1732.
    26. Erevelles, Sunil & Fukawa, Nobuyuki & Swayne, Linda, 2016. "Big Data consumer analytics and the transformation of marketing," Journal of Business Research, Elsevier, vol. 69(2), pages 897-904.
    27. Côrte-Real, Nadine & Oliveira, Tiago & Ruivo, Pedro, 2017. "Assessing business value of Big Data Analytics in European firms," Journal of Business Research, Elsevier, vol. 70(C), pages 379-390.
    28. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    29. Dann, Stephen, 2010. "Redefining social marketing with contemporary commercial marketing definitions," Journal of Business Research, Elsevier, vol. 63(2), pages 147-153, February.
    30. Sridhar, Shrihari & Naik, Prasad A. & Kelkar, Ajay, 2017. "Metrics unreliability and marketing overspending," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 761-779.
    31. Roberts, John H. & Kayande, Ujwal & Stremersch, Stefan, 2014. "From academic research to marketing practice: Exploring the marketing science value chain," International Journal of Research in Marketing, Elsevier, vol. 31(2), pages 127-140.
    32. Petersen, J. Andrew & McAlister, Leigh & Reibstein, David J. & Winer, Russell S. & Kumar, V. & Atkinson, Geoff, 2009. "Choosing the Right Metrics to Maximize Profitability and Shareholder Value," Journal of Retailing, Elsevier, vol. 85(1), pages 95-111.
    33. Pauwels, Koen & Aksehirli, Zeynep & Lackman, Andrew, 2016. "Like the ad or the brand? Marketing stimulates different electronic word-of-mouth content to drive online and offline performance," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 639-655.
    34. Xiao Liu & Param Vir Singh & Kannan Srinivasan, 2016. "A Structured Analysis of Unstructured Big Data by Leveraging Cloud Computing," Marketing Science, INFORMS, vol. 35(3), pages 363-388, May.
    35. Roland T. Rust & Ming-Hui Huang, 2014. "The Service Revolution and the Transformation of Marketing Science," Marketing Science, INFORMS, vol. 33(2), pages 206-221, March.
    36. Maria Petrescu & Anjala S. Krishen, 2017. "Marketing analytics: from practice to academia," Journal of Marketing Analytics, Palgrave Macmillan, vol. 5(2), pages 45-46, June.
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