IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v42y2023i5p892-909.html
   My bibliography  Save this article

Advertising as a Reminder: Evidence from the Dutch State Lottery

Author

Listed:
  • Chen He

    (School of Entrepreneurship and Management, ShanghaiTech University, Shanghai 201210, China)

  • Tobias J. Klein

    (Tilburg University, 5037 AB Tilburg, Netherlands)

Abstract

Consumers who intend to buy a product may forget to do so because they suffer from limited attention. Therefore, they may value being reminded by an advertisement. This reminder effect of advertising could be important in many markets but is usually difficult to document. We study it in the context of buying a product that has existed for almost 300 years: a ticket for the Dutch State Lottery. This context is particularly suitable for our analysis because the product is simple, it is very well known, and there are multiple fixed and known purchase cycles per year. Moreover, radio and TV advertisements are designed explicitly to remind consumers to buy a lottery ticket before the draw. This can conveniently be done online. We develop an approach to distinguish reminder effects of advertising from other effects, such as conveying information about the size of the jackpot. The key idea is that reminder effects are short lived. We use minute-level advertising and online sales data and find that the reminder effect of advertising is strong. Reaching 1% of the population by a radio advertisement leads to an increase in online sales of 1.55% in the four hours after the advertisement is aired. For TV advertisements, the increase is 0.78%. We show that the effects generally last longer for radio advertisements. We also provide direct evidence that reminding consumers not only affects the timing of purchases but also leads to market expansion. Finally, we estimate a model of consumer behavior under limited attention to quantify the effect on total sales. We find that total sales would be 16.7% lower without the reminder effect of advertising and that shifting advertising to the week of the draw would lead to a 9.2% increase in sales.

Suggested Citation

  • Chen He & Tobias J. Klein, 2023. "Advertising as a Reminder: Evidence from the Dutch State Lottery," Marketing Science, INFORMS, vol. 42(5), pages 892-909, September.
  • Handle: RePEc:inm:ormksc:v:42:y:2023:i:5:p:892-909
    DOI: 10.1287/mksc.2022.1405
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.2022.1405
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.2022.1405?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
    ---><---

    References listed on IDEAS

    as
    1. Kate Ho & Joseph Hogan & Fiona Scott Morton, 2017. "The impact of consumer inattention on insurer pricing in the Medicare Part D program," RAND Journal of Economics, RAND Corporation, vol. 48(4), pages 877-905, December.
    2. Nobuhiko Terui & Masataka Ban & Greg M. Allenby, 2011. "The Effect of Media Advertising on Brand Consideration and Choice," Marketing Science, INFORMS, vol. 30(1), pages 74-91, 01-02.
    3. Stefano DellaVigna & Matthew Gentzkow, 2010. "Persuasion: Empirical Evidence," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 643-669, September.
    4. Bradley T. Shapiro, 2018. "Positive Spillovers and Free Riding in Advertising of Prescription Pharmaceuticals: The Case of Antidepressants," Journal of Political Economy, University of Chicago Press, vol. 126(1), pages 381-437.
    5. Olivier De Groote & Frank Verboven, 2019. "Subsidies and Time Discounting in New Technology Adoption: Evidence from Solar Photovoltaic Systems," American Economic Review, American Economic Association, vol. 109(6), pages 2137-2172, June.
    6. Paola Manzini & Marco Mariotti, 2014. "Stochastic Choice and Consideration Sets," Econometrica, Econometric Society, vol. 82(3), pages 1153-1176, May.
    7. 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.
    8. Joo, Mingyu & Wilbur, Kenneth C. & Zhu, Yi, 2016. "Effects of TV advertising on keyword search," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 508-523.
    9. Mingyu Joo & Kenneth C. Wilbur & Bo Cowgill & Yi Zhu, 2014. "Television Advertising and Online Search," Management Science, INFORMS, vol. 60(1), pages 56-73, January.
    10. Navdeep Sahni, 2015. "Erratum to: Effect of temporal spacing between advertising exposures: Evidence from online field experiments," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 249-250, September.
    11. Seth Stephens-Davidowitz & Hal Varian & Michael D. Smith, 2017. "Super returns to Super Bowl ads?," Quantitative Marketing and Economics (QME), Springer, vol. 15(1), pages 1-28, March.
    12. Michelle Sovinsky Goeree, 2008. "Limited Information and Advertising in the U.S. Personal Computer Industry," Econometrica, Econometric Society, vol. 76(5), pages 1017-1074, September.
    13. Florian Heiss & Daniel McFadden & Joachim Winter & Amelie Wuppermann & Bo Zhou, 2021. "Inattention and Switching Costs as Sources of Inertia in Medicare Part D," American Economic Review, American Economic Association, vol. 111(9), pages 2737-2781, September.
    14. Daniel A. Ackerberg, 2003. "Advertising, learning, and consumer choice in experience good markets: an empirical examination," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(3), pages 1007-1040, August.
    15. Navdeep S. Sahni, 2015. "Erratum to: Effect of temporal spacing between advertising exposures: Evidence from online field experiments," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 249-250, September.
    16. Jura Liaukonyte & Thales Teixeira & Kenneth C. Wilbur, 2015. "Television Advertising and Online Shopping," Marketing Science, INFORMS, vol. 34(3), pages 311-330, May.
    17. Jean-Pierre Dubé & Günter Hitsch & Puneet Manchanda, 2005. "An Empirical Model of Advertising Dynamics," Quantitative Marketing and Economics (QME), Springer, vol. 3(2), pages 107-144, June.
    18. Ackerberg, Daniel A, 2001. "Empirically Distinguishing Informative and Prestige Effects of Advertising," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 316-333, Summer.
    19. Oleg Melnikov, 2013. "Demand For Differentiated Durable Products: The Case Of The U.S. Computer Printer Market," Economic Inquiry, Western Economic Association International, vol. 51(2), pages 1277-1298, April.
    20. Deepa Chandrasekaran & Raji Srinivasan & Debika Sihi, 2018. "Effects of offline ad content on online brand search: insights from super bowl advertising," Journal of the Academy of Marketing Science, Springer, vol. 46(3), pages 403-430, May.
    21. Nitin Mehta & Xinlei (Jack) Chen & Om Narasimhan, 2008. "Informing, Transforming, and Persuading: Disentangling the Multiple Effects of Advertising on Brand Choice Decisions," Marketing Science, INFORMS, vol. 27(3), pages 334-355, 05-06.
    22. 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.
    23. Bradley T. Shapiro & Günter J. Hitsch & Anna E. Tuchman, 2021. "TV Advertising Effectiveness and Profitability: Generalizable Results From 288 Brands," Econometrica, Econometric Society, vol. 89(4), pages 1855-1879, July.
    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. Nils Wlömert & Dominik Papies & Michel Clement & Martin Spann, 2024. "Frontiers: The Interplay of User-Generated Content, Content Industry Revenues, and Platform Regulation: Quasi-Experimental Evidence from YouTube," Marketing Science, INFORMS, vol. 43(1), pages 1-12, January.

    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. Wesley R. Hartmann & Daniel Klapper, 2018. "Super Bowl Ads," Marketing Science, INFORMS, vol. 37(1), pages 78-96, January.
    2. He, Chen & Klein, Tobias, 2018. "Advertising as a Reminder : Evidence from the Dutch State Lottery," Other publications TiSEM 6a9d1dc7-8fb6-48a1-b954-8, Tilburg University, School of Economics and Management.
    3. He, Chen, 2018. "Essays on the role and effects of advertising," Other publications TiSEM 47a3272a-54f1-4a90-9714-c, Tilburg University, School of Economics and Management.
    4. Ruichang Lu & Qiaowei Shen & Tenghui Wang & Xiaojun Zhang, 2022. "Frenemies: Corporate Advertising Under Common Ownership," Management Science, INFORMS, vol. 68(6), pages 4645-4669, June.
    5. 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.
    6. Li, Xiaolin & Singh Rao, Raghunath & Narasimhan, Om & Gao, Xing, 2022. "Stay positive or go negative? Memory imperfections and messaging strategy," LSE Research Online Documents on Economics 113556, London School of Economics and Political Science, LSE Library.
    7. Landry, Peter, 2022. "Pricing, advertising, and endogenous consideration of an “insistent” product," International Journal of Industrial Organization, Elsevier, vol. 80(C).
    8. Bart J. Bronnenberg & Jean-Pierre Dubé & Robert E. Sanders, 2020. "Consumer Misinformation and the Brand Premium: A Private Label Blind Taste Test," Marketing Science, INFORMS, vol. 39(2), pages 382-406, March.
    9. 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.
    10. Ali Goli & Simha Mummalaneni & Pradeep K. Chintagunta & Sanjay K. Dhar, 2022. "Show and Sell: Studying the Effects of Branded Cigarette Product Placement in TV Shows on Cigarette Sales," Marketing Science, INFORMS, vol. 41(6), pages 1163-1180, November.
    11. Omid Rafieian, 2023. "Optimizing User Engagement Through Adaptive Ad Sequencing," Marketing Science, INFORMS, vol. 42(5), pages 910-933, September.
    12. Weijia Dai & Hyunjin Kim & Michael Luca, 2023. "Frontiers: Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," Marketing Science, INFORMS, vol. 42(3), pages 429-439, May.
    13. Brett R Gordon & Kinshuk Jerath & Zsolt Katona & Sridhar Narayanan & Jiwoong Shin & Kenneth C Wilbur, 2019. "Inefficiencies in Digital Advertising Markets," Papers 1912.09012, arXiv.org, revised Feb 2020.
    14. Försch, Steffen & de Haan, Evert, 2018. "Targeting online display ads: Choosing their frequency and spacing," International Journal of Research in Marketing, Elsevier, vol. 35(4), pages 661-672.
    15. Navdeep S. Sahni & Dan Zou & Pradeep K. Chintagunta, 2017. "Do Targeted Discount Offers Serve as Advertising? Evidence from 70 Field Experiments," Management Science, INFORMS, vol. 63(8), pages 2688-2705, August.
    16. Omid Rafieian & Hema Yoganarasimhan, 2021. "Targeting and Privacy in Mobile Advertising," Marketing Science, INFORMS, vol. 40(2), pages 193-218, March.
    17. Crawford, Gregory S. & Griffith, Rachel & Iaria, Alessandro, 2021. "A survey of preference estimation with unobserved choice set heterogeneity," Journal of Econometrics, Elsevier, vol. 222(1), pages 4-43.
    18. Kirthi Kalyanam & John McAteer & Jonathan Marek & James Hodges & Lifeng Lin, 2018. "Cross channel effects of search engine advertising on brick & mortar retail sales: Meta analysis of large scale field experiments on Google.com," Quantitative Marketing and Economics (QME), Springer, vol. 16(1), pages 1-42, March.
    19. Yi-Lin Tsai & Elisabeth Honka, 2021. "Informational and Noninformational Advertising Content," Marketing Science, INFORMS, vol. 40(6), pages 1030-1058, November.
    20. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Predictive Incrementality by Experimentation (PIE) for Ad Measurement," Papers 2304.06828, arXiv.org.

    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:inm:ormksc:v:42:y:2023:i:5:p:892-909. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.