IDEAS home Printed from https://ideas.repec.org/a/eee/ijrema/v34y2017i4p761-779.html
   My bibliography  Save this article

Metrics unreliability and marketing overspending

Author

Listed:
  • Sridhar, Shrihari
  • Naik, Prasad A.
  • Kelkar, Ajay

Abstract

The adverse consequences of measurement unreliability on statistical issues (e.g., inconsistency, attenuation bias) are well known. Yet there exists sparse literature, if any, on how unreliable metrics affect strategic marketing decisions: optimal marketing budget, its optimal allocation to advertising and promotions, and overspending. Consequently, researchers and managers do not know: How to estimate dynamic demand models using unreliable data? How to optimally combine multiple noisy and biased metrics? How to optimally set the total marketing budget and optimally allocate it to advertising and promotions activities using unreliable sales metrics?

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ijrema:v:34:y:2017:i:4:p:761-779
    DOI: 10.1016/j.ijresmar.2017.09.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167811617300654
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijresmar.2017.09.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Prasad A. Naik & Murali K. Mantrala & Alan G. Sawyer, 1998. "Planning Media Schedules in the Presence of Dynamic Advertising Quality," Marketing Science, INFORMS, vol. 17(3), pages 214-235.
    2. Magid M. Abraham & Leonard M. Lodish, 1993. "An Implemented System for Improving Promotion Productivity Using Store Scanner Data," Marketing Science, INFORMS, vol. 12(3), pages 248-269.
    3. Kremer, Sara T.M. & Bijmolt, Tammo H.A. & Leeflang, Peter S.H. & Wieringa, Jaap E., 2008. "Generalizations on the effectiveness of pharmaceutical promotional expenditures," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 234-246.
    4. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
    5. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    6. Wedel, Michel & Pieters, Rik, 2008. "Eye Tracking for Visual Marketing," Foundations and Trends(R) in Marketing, now publishers, vol. 1(4), pages 231-320, August.
    7. Eelco Kappe & Stefan Stremersch, 2016. "Drug Detailing and Doctors’ Prescription Decisions: The Role of Information Content in the Face of Competitive Entry," Marketing Science, INFORMS, vol. 35(6), pages 915-933, November.
    8. Frank M. Bass & Norris Bruce & Sumit Majumdar & B. P. S. Murthi, 2007. "Wearout Effects of Different Advertising Themes: A Dynamic Bayesian Model of the Advertising-Sales Relationship," Marketing Science, INFORMS, vol. 26(2), pages 179-195, 03-04.
    9. Pauwels, Koen & Erguncu, Selin & Yildirim, Gokhan, 2013. "Winning hearts, minds and sales: How marketing communication enters the purchase process in emerging and mature markets," International Journal of Research in Marketing, Elsevier, vol. 30(1), pages 57-68.
    10. Bart J. Bronnenberg & Vijay Mahajan, 2001. "Unobserved Retailer Behavior in Multimarket Data: Joint Spatial Dependence in Market Shares and Promotion Variables," Marketing Science, INFORMS, vol. 20(3), pages 284-299, October.
    11. Beegle, Kathleen & De Weerdt, Joachim & Friedman, Jed & Gibson, John, 2012. "Methods of household consumption measurement through surveys: Experimental results from Tanzania," Journal of Development Economics, Elsevier, vol. 98(1), pages 3-18.
    12. Robert C. Blattberg & Alan Levin, 1987. "Modelling the Effectiveness and Profitability of Trade Promotions," Marketing Science, INFORMS, vol. 6(2), pages 124-146.
    13. Rajdeep Grewal & Joseph A. Cote & Hans Baumgartner, 2004. "Multicollinearity and Measurement Error in Structural Equation Models: Implications for Theory Testing," Marketing Science, INFORMS, vol. 23(4), pages 519-529, June.
    14. Donald G. Morrison & Jorge Silva-Risso, 1995. "A Latent Look at Empirical Generalizations," Marketing Science, INFORMS, vol. 14(3_supplem), pages 61-70.
    15. Prasad A. Naik & Ashutosh Prasad & Suresh P. Sethi, 2008. "Building Brand Awareness in Dynamic Oligopoly Markets," Management Science, INFORMS, vol. 54(1), pages 129-138, January.
    16. Scott A. Neslin & Robert W. Shoemaker, 1983. "A Model for Evaluating the Profitability of Coupon Promotions," Marketing Science, INFORMS, vol. 2(4), pages 361-388.
    17. Robert P. Leone, 1995. "Generalizing What Is Known About Temporal Aggregation and Advertising Carryover," Marketing Science, INFORMS, vol. 14(3_supplem), pages 141-150.
    18. Marc Vanhuele & Shuba Srinivasan & Koen Pauwels, 2010. "Mindset Metrics in Market Response Models: An Integrative Approach," Post-Print hal-00528411, HAL.
    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. Mintz, Ofer & Gilbride, Timothy J. & Lenk, Peter & Currim, Imran S., 2021. "The right metrics for marketing-mix decisions," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 32-49.
    2. Rakshit, Sandip & Islam, Nazrul & Mondal, Sandeep & Paul, Tripti, 2022. "An integrated social network marketing metric for business-to-business SMEs," Journal of Business Research, Elsevier, vol. 150(C), pages 73-88.
    3. 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.

    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. Olivier Rubel & Prasad A. Naik, 2017. "Robust Dynamic Estimation," Marketing Science, INFORMS, vol. 36(3), pages 453-467, May.
    2. Olivier Rubel & Prasad A. Naik & Shuba Srinivasan, 2011. "Optimal Advertising When Envisioning a Product-Harm Crisis," Marketing Science, INFORMS, vol. 30(6), pages 1048-1065, November.
    3. Valenti, Albert & Yildirim, Gokhan & Vanhuele, Marc & Srinivasan, Shuba & Pauwels, Koen, 2023. "Advertising’s sequence of effects on consumer mindset and sales: A comparison across brands and product categories," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 435-454.
    4. Huang, Jian & Leng, Mingming & Liang, Liping, 2012. "Recent developments in dynamic advertising research," European Journal of Operational Research, Elsevier, vol. 220(3), pages 591-609.
    5. Gijsenberg, Maarten J., 2014. "Going for gold: Investigating the (non)sense of increased advertising around major sports events," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 2-15.
    6. Shyam Gopinath & Jacquelyn S. Thomas & Lakshman Krishnamurthi, 2014. "Investigating the Relationship Between the Content of Online Word of Mouth, Advertising, and Brand Performance," Marketing Science, INFORMS, vol. 33(2), pages 241-258, March.
    7. Ashwin Aravindakshan & Prasad A. Naik, 2015. "Understanding the Memory Effects in Pulsing Advertising," Operations Research, INFORMS, vol. 63(1), pages 35-47, February.
    8. Prasad A. Naik & Ashutosh Prasad & Suresh P. Sethi, 2008. "Building Brand Awareness in Dynamic Oligopoly Markets," Management Science, INFORMS, vol. 54(1), pages 129-138, January.
    9. Ashwin Aravindakshan & Prasad Naik, 2011. "How does awareness evolve when advertising stops? The role of memory," Marketing Letters, Springer, vol. 22(3), pages 315-326, September.
    10. Yan Liu & Venkatesh Shankar, 2015. "The Dynamic Impact of Product-Harm Crises on Brand Preference and Advertising Effectiveness: An Empirical Analysis of the Automobile Industry," Management Science, INFORMS, vol. 61(10), pages 2514-2535, October.
    11. 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.
    12. Beltran-Royo, C. & Zhang, H. & Blanco, L.A. & Almagro, J., 2013. "Multistage multiproduct advertising budgeting," European Journal of Operational Research, Elsevier, vol. 225(1), pages 179-188.
    13. Chan, Tat Y. & Narasimhan, Chakravarthi & Yoon, Yeujun, 2017. "Advertising and price competition in a manufacturer-retailer channel," International Journal of Research in Marketing, Elsevier, vol. 34(3), pages 694-716.
    14. Philippe Aurier & Anne Broz-Giroux, 2014. "Modeling advertising impact at campaign level: Empirical generalizations relative to long-term advertising profit contribution and its antecedents," Marketing Letters, Springer, vol. 25(2), pages 193-206, June.
    15. Ataman, B.M., 2007. "Managing brands," Other publications TiSEM 462dcbba-2ac1-46d1-a61c-f, Tilburg University, School of Economics and Management.
    16. Kiygi Calli, Meltem & Weverbergh, Marcel & Franses, Philip Hans, 2012. "The effectiveness of high-frequency direct-response commercials," International Journal of Research in Marketing, Elsevier, vol. 29(1), pages 98-109.
    17. Krishnamoorthy, Anand & Prasad, Ashutosh & Sethi, Suresh P., 2010. "Optimal pricing and advertising in a durable-good duopoly," European Journal of Operational Research, Elsevier, vol. 200(2), pages 486-497, January.
    18. Lu, Qiang Steven & Miller, Rohan, 2019. "How Social Media Communications Combine with Customer Loyalty Management to Boost Green Retail Sales," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 87-100.
    19. Deleersnyder, B. & Dekimpe, M.G. & Steenkamp, J-B.E.M. & Leeflang, P.S.H., 2007. "The Role of National Culture in Advertising’s Sensitivity to Business Cycles: An Investigation Across All Continents," ERIM Report Series Research in Management ERS-2007-095-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.
    20. Engel, Charles & Frankel, Jeffrey A. & Froot, Kenneth A. & Rodrigues, Anthony P., 1995. "Tests of conditional mean-variance efficiency of the U.S. stock market," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 3-18, March.

    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:eee:ijrema:v:34:y:2017:i:4:p:761-779. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-research-in-marketing/ .

    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.