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A New Method of Measuring Online Media Advertising Effectiveness: Prospective Meta-Analysis in Marketing

Author

Listed:
  • Liberali, G.
  • Urban, G.L.
  • Dellaert, B.G.C.
  • Tucker, C.
  • Bart, Y.
  • Stremersch, S.

Abstract

The authors introduce a new method, prospective meta-analysis in marketing (PMM), to estimate consumer response to online advertising on a large and adaptive scale. They illustrate their approach in a field study in the U.S., China and the Netherlands, covering equivalent ad content on social media, online video, display banner, and search engines. The authors tested a conceptual framework based on attention and engagement using a technological solution that allow them to observe participants browsing and clicking activity in depth from their own residences, offices, or places of choice to use the tested media platforms, e.g., Facebook, Weibo, Google, Baidu and others. The authors show how consumers respond differently to the same ad depending on how distant they are from purchase, and uncover which channels are most appropriate to which user at different stages of the funnel. They also show how engagement and attention strengthen consumer response to advertising. The authors show how PMM produces exploratory findings, confirmatory findings, and replications by systematically organizing the incremental exploration of complex phenomena with cycles of discovery and validation.

Suggested Citation

  • Liberali, G. & Urban, G.L. & Dellaert, B.G.C. & Tucker, C. & Bart, Y. & Stremersch, S., 2016. "A New Method of Measuring Online Media Advertising Effectiveness: Prospective Meta-Analysis in Marketing," ERIM Report Series Research in Management ERS-2016-007-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  • Handle: RePEc:ems:eureri:93279
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    References listed on IDEAS

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    1. John List, 2008. "Introduction to field experiments in economics with applications to the economics of charity," Experimental Economics, Springer;Economic Science Association, vol. 11(3), pages 203-212, September.
    2. 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.
    3. Peter J. Danaher & Janghyuk Lee & Laoucine Kerbache, 2010. "Optimal Internet Media Selection," Marketing Science, INFORMS, vol. 29(2), pages 336-347, 03-04.
    4. repec:feb:artefa:0105 is not listed on IDEAS
    5. Alexander Bleier & Maik Eisenbeiss, 2015. "Personalized Online Advertising Effectiveness: The Interplay of What, When, and Where," Marketing Science, INFORMS, vol. 34(5), pages 669-688, September.
    6. 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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    Cited by:

    1. Ayat Mazin Almahmoud, 2019. "The Impact of Social Media Characteristics and Customer Attitude on EWOM: An Empirical Study in Jordanian Banking Sector," Journal of Social Sciences (COES&RJ-JSS), , vol. 8(2), pages 169-188, April.

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    Keywords

    online advertising; field experiments; multichannel marketing; purchase funnel; meta- analysis;
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