IDEAS home Printed from https://ideas.repec.org/a/aes/jetimm/v1y2018i1p129-136.html
   My bibliography  Save this article

Instruments Used for Marketing Experiments

Author

Listed:
  • Andreea Larisa BOBOC

    (The Bucharest University of Economic Studies)

  • Daniel MOISE

    (The Bucharest University of Economic Studies)

Abstract

What can normally be observed on the market, is often considered like the premises of developing marketing as a science, but what is seen, is it always true? It remains to be investigate. It is possible to study what is really happening without any intervention, but in order to obtain different and significant results, there can be manipulated certain independent variables for analyzing their influence, by measuring the effect on dependent variables reflected in consumer’s behavior. Marketing experiments have proven to be highly effective in identifying relevant results over time, representing a method of research into the different phenomena encountered on the market for various products and services. In fact, marketing experiment method measures the cause and effect relationship. This paper proposes to contribute to the development of the specialized literature by presenting the tools used for a marketing experiment. It has been used as a method of investigation, analysis of the secondary databases. Against the backdrop of technology development, an inventory of new tools used in applying such a research method is needed to highlight scientific researches as a modern and current tool in marketing research.

Suggested Citation

  • Andreea Larisa BOBOC & Daniel MOISE, 2018. "Instruments Used for Marketing Experiments," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 129-136, November.
  • Handle: RePEc:aes:jetimm:v:1:y:2018:i:1:p:129-136
    as

    Download full text from publisher

    File URL: http://www.etimm.ase.ro/RePEc/aes/jetimm/2018/ETIMM_V01_2018_63.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Leonard M. Lodish & Magid M. Abraham & Jeanne Livelsberger & Beth Lubetkin & Bruce Richardson & Mary Ellen Stevens, 1995. "A Summary of Fifty-Five In-Market Experimental Estimates of the Long-Term Effect of TV Advertising," Marketing Science, INFORMS, vol. 14(3_supplem), pages 133-140.
    Full references (including those not matched with items on IDEAS)

    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. Navdeep S. Sahni, 2015. "Effect of temporal spacing between advertising exposures: Evidence from online field experiments," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 203-247, September.
    2. Joseph Pancras & S. Sriram & V. Kumar, 2012. "Empirical Investigation of Retail Expansion and Cannibalization in a Dynamic Environment," Management Science, INFORMS, vol. 58(11), pages 2001-2018, November.
    3. Navdeep Sahni, 2015. "Effect of temporal spacing between advertising exposures: Evidence from online field experiments," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 203-247, September.
    4. Leonardo Bursztyn & Davide Cantoni, 2016. "Tear in the Iron Curtain: The Impact of Western Television on Consumption Behavior," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 25-41, March.
    5. Chadwick J. Miller & Daniel C. Brannon & Jim Salas & Martha Troncoza, 2021. "Advertising, incentives, and the upsell: how advertising differentially moderates customer- vs. retailer-directed price incentives’ impact on consumers’ preferences for premium products," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1043-1064, November.
    6. Eisend, Martin & Tarrahi, Farid, 2014. "Meta-analysis selection bias in marketing research," International Journal of Research in Marketing, Elsevier, vol. 31(3), pages 317-326.
    7. Morais, Joanna & Thomas-Agnan, Christine & Simioni, Michel, 2018. "Impact of advertizing on brand’s market-shares in the automobile market:: a multi-channel attraction model with competition and carry-over effects," TSE Working Papers 18-878, Toulouse School of Economics (TSE).
    8. Michael Braun & Wendy W. Moe, 2013. "Online Display Advertising: Modeling the Effects of Multiple Creatives and Individual Impression Histories," Marketing Science, INFORMS, vol. 32(5), pages 753-767, September.
    9. Duncan Simester & Yu (Jeffrey) Hu & Erik Brynjolfsson & Eric T. Anderson, 2009. "Dynamics Of Retail Advertising: Evidence From A Field Experiment," Economic Inquiry, Western Economic Association International, vol. 47(3), pages 482-499, July.
    10. Jan-Benedict E. M. Steenkamp & Eric (Er) Fang, 2011. "The Impact of Economic Contractions on the Effectiveness of R&D and Advertising: Evidence from U.S. Companies Spanning Three Decades," Marketing Science, INFORMS, vol. 30(4), pages 628-645, July.
    11. Yun Kyung Oh & Huseyin Gulen & Jung-Min Kim & William T. Robinson, 2016. "Do stock prices undervalue investments in advertising?," Marketing Letters, Springer, vol. 27(4), pages 611-626, December.
    12. Avi Goldfarb, 2014. "What is Different About Online Advertising?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 115-129, March.
    13. Ashish Sinha & J. Jeffrey Inman & Yantao Wang & Joonwook Park & Gerard J. Tellis & Rajesh K. Chandy & Deborah MacInnis & Pattana Thaivanich, 2005. "Practice Prize Reports," Marketing Science, INFORMS, vol. 24(3), pages 351-366, September.
    14. Peter C. Reiss, 2011. "Structural Workshop Paper --Descriptive, Structural, and Experimental Empirical Methods in Marketing Research," Marketing Science, INFORMS, vol. 30(6), pages 950-964, November.
    15. Lee G. Cooper & Penny Baron & Wayne Levy & Michael Swisher & Paris Gogos, 1999. "PromoCast™: A New Forecasting Method for Promotion Planning," Marketing Science, INFORMS, vol. 18(3), pages 301-316.
    16. Li, Xiaolin & Rao, Raghunath Singh & Narasimhan, Om & Gao, Xing, 2022. "Stay positive or go negative? Memory imperfections and messaging strategy," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1127-1149.
    17. 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.
    18. Doug J. Chung, 2013. "The Dynamic Advertising Effect of Collegiate Athletics," Marketing Science, INFORMS, vol. 32(5), pages 679-698, September.
    19. Natalie Mizik & Robert Jacobson, 2007. "Myopic Marketing Management: Evidence of the Phenomenon and Its Long-Term Performance Consequences in the SEO Context," Marketing Science, INFORMS, vol. 26(3), pages 361-379, 05-06.
    20. Daniel Zantedeschi & Eleanor McDonnell Feit & Eric T. Bradlow, 2017. "Measuring Multichannel Advertising Response," Management Science, INFORMS, vol. 63(8), pages 2706-2728, August.

    More about this item

    Keywords

    marketing experiment; instruments; eye tracking; facial analysis.;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    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:aes:jetimm:v:1:y:2018:i:1:p:129-136. 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: Lucian Onisor (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.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.