IDEAS home Printed from https://ideas.repec.org/p/ems/eureri/93279.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/93279/ERS-2016-007-MKT_r01.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Thomas Niemand & Sascha Kraus & Sophia Mather & Antonio C. Cuenca-Ballester, 0. "Multilevel marketing: optimizing marketing effectiveness for high-involvement goods in the automotive industry," International Entrepreneurship and Management Journal, Springer, vol. 0, pages 1-26.
    3. Georgios Filippou & Athanasios G. Georgiadis & Ashish Kumar Jha, 2024. "Establishing the link: Does web traffic from various marketing channels influence direct traffic source purchases?," Marketing Letters, Springer, vol. 35(1), pages 59-71, March.
    4. Garrett Johnson & Julian Runge & Eric Seufert, 2022. "Privacy-Centric Digital Advertising: Implications for Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 9(1), pages 49-54, June.
    5. Hana Choi & Carl F. Mela & Santiago R. Balseiro & Adam Leary, 2020. "Online Display Advertising Markets: A Literature Review and Future Directions," Information Systems Research, INFORMS, vol. 31(2), pages 556-575, June.
    6. Navdeep S. Sahni & S. Christian Wheeler & Pradeep Chintagunta, 2018. "Personalization in Email Marketing: The Role of Noninformative Advertising Content," Marketing Science, INFORMS, vol. 37(2), pages 236-258, March.
    7. Christina Uhl & Nadia Abou Nabout & Klaus Miller, 2020. "How Much Ad Viewability is Enough? The Effect of Display Ad Viewability on Advertising Effectiveness," Papers 2008.12132, arXiv.org.
    8. Thomas W. Frick & Rodrigo Belo & Rahul Telang, 2023. "Incentive Misalignments in Programmatic Advertising: Evidence from a Randomized Field Experiment," Management Science, INFORMS, vol. 69(3), pages 1665-1686, March.
    9. Daniel Zantedeschi & Eleanor McDonnell Feit & Eric T. Bradlow, 2017. "Measuring Multichannel Advertising Response," Management Science, INFORMS, vol. 63(8), pages 2706-2728, August.
    10. Shun-Yang Lee & Julian Runge & Daniel Yoo & Yakov Bart & Anett Gyurak & J. W. Schneider, 2023. "COVID-19 Demand Shocks Revisited: Did Advertising Technology Help Mitigate Adverse Consequences for Small and Midsize Businesses?," Papers 2307.09035, arXiv.org, revised Jan 2024.
    11. Alpízar, Francisco & Martinsson, Peter, 2010. "Don’t Tell Me What to Do, Tell Me Who to Follow! - Field Experiment Evidence on Voluntary Donations," Working Papers in Economics 452, University of Gothenburg, Department of Economics.
    12. Bradley T. Shapiro, 2020. "Advertising in Health Insurance Markets," Marketing Science, INFORMS, vol. 39(3), pages 587-611, May.
    13. Irene Mussio & Angela C. M. Oliveira, 2022. "An (un)healthy social dilemma: a normative messaging field experiment with flu vaccinations," Health Economics Review, Springer, vol. 12(1), pages 1-16, December.
    14. Baxendale, Shane & Macdonald, Emma K. & Wilson, Hugh N., 2015. "The Impact of Different Touchpoints on Brand Consideration," Journal of Retailing, Elsevier, vol. 91(2), pages 235-253.
    15. Randall Lewis & Dan Nguyen, 2015. "Display advertising’s competitive spillovers to consumer search," Quantitative Marketing and Economics (QME), Springer, vol. 13(2), pages 93-115, June.
    16. Rik Pieters & Michel Wedel, 2012. "Ad Gist: Ad Communication in a Single Eye Fixation," Marketing Science, INFORMS, vol. 31(1), pages 59-73, January.
    17. Baker, Ronald J. & Walker, James M. & Williams, Arlington W., 2011. "An exploration of the robustness of alternative laboratory methodologies: Matching funds and the provision of public goods," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(6), pages 763-774.
    18. Jacob LaRiviere & Mikolaj Czajkowski & Nick Hanley & Katherine Simpson, 2016. "What is the Causal Impact of Knowledge on Preferences in Stated Preference Studies?," Working Papers 2016-12, Faculty of Economic Sciences, University of Warsaw.
    19. Alex Jiyoung Kim & Subramanian Balachander, 2023. "Coordinating traditional media advertising and online advertising in brand marketing," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1865-1879, June.
    20. Serge Blondel & Ngoc-Thao Noet, 2023. "Quels facteurs expliquent la faible coopération en horticulture ?," TEPP Research Report 2023-01, TEPP.

    More about this item

    Keywords

    online advertising; field experiments; multichannel marketing; purchase funnel; meta- analysis;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ems:eureri:93279. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/erimanl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.