IDEAS home Printed from https://ideas.repec.org/a/eee/joinma/v26y2012i3p155-166.html
   My bibliography  Save this article

Short- and Long-term Effects of Online Advertising: Differences between New and Existing Customers

Author

Listed:
  • Breuer, Ralph
  • Brettel, Malte

Abstract

Online advertising has short- and long-term effects. Little is known, however, about which online advertising channel works best to address particular customer groups when short- and long-term effects, are taken into account. We look at the sales effect of search engine marketing (SEM), banner advertising, price comparison advertising (PCA) and coupon/loyalty advertising (CLA) on new and existing customers. Our analysis, which uses a sample of 2.8million purchases, shows that SEM has the longest effect, followed by banners, CLA, and PCA. We find that CLA works better for existing customers than for new customers, whereas PCA works better to attract new customers.

Suggested Citation

  • Breuer, Ralph & Brettel, Malte, 2012. "Short- and Long-term Effects of Online Advertising: Differences between New and Existing Customers," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 155-166.
    • Handle: RePEc:eee:joinma:v:26:y:2012:i:3:p:155-166
    DOI: 10.1016/j.intmar.2011.12.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1094996811000788
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.intmar.2011.12.001?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. Amit Pazgal & David Soberman, 2008. "Behavior-Based Discrimination: Is It a Winning Play, and If So, When?," Marketing Science, INFORMS, vol. 27(6), pages 977-994, 11-12.
    2. Byung-Do Kim & Mengze Shi & Kannan Srinivasan, 2001. "Reward Programs and Tacit Collusion," Marketing Science, INFORMS, vol. 20(2), pages 99-120, June.
    3. Janiszewski, Chris & Noel, Hayden & Sawyer, Alan G, 2003. "A Meta-analysis of the Spacing Effect in Verbal Learning: Implications for Research on Advertising Repetition and Consumer Memory," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(1), pages 138-149, June.
    4. Zellner, Arnold & Geisel, Martin S, 1970. "Analysis of Distributed Lag Models with Application to Consumption Function Estimation," Econometrica, Econometric Society, vol. 38(6), pages 865-888, November.
    5. Herrington, J. Duncan & Dempsey, William A., 2005. "Comparing the Current Effects and Carryover of National-, Regional-, and Local-Sponsor Advertising," Journal of Advertising Research, Cambridge University Press, vol. 45(1), pages 60-72, March.
    6. repec:bla:jindec:v:49:y:2001:i:4:p:541-58 is not listed on IDEAS
    7. Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
    8. Ralph Breuer & Malte Brettel & Andreas Engelen, 2011. "Incorporating long-term effects in determining the effectiveness of different types of online advertising," Marketing Letters, Springer, vol. 22(4), pages 327-340, November.
    9. Alan L. Montgomery & Kartik Hosanagar & Ramayya Krishnan & Karen B. Clay, 2004. "Designing a Better Shopbot," Management Science, INFORMS, vol. 50(2), pages 189-206, February.
    10. Petty, Richard E & Cacioppo, John T & Schumann, David, 1983. "Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 135-146, September.
    11. Marnik G. Dekimpe & Dominique M. Hanssens, 1995. "The Persistence of Marketing Effects on Sales," Marketing Science, INFORMS, vol. 14(1), pages 1-21.
    12. Neeraj Arora & Xavier Dreze & Anindya Ghose & James Hess & Raghuram Iyengar & Bing Jing & Yogesh Joshi & V. Kumar & Nicholas Lurie & Scott Neslin & S. Sajeesh & Meng Su & Niladri Syam & Jacquelyn Thom, 2008. "Putting one-to-one marketing to work: Personalization, customization, and choice," Marketing Letters, Springer, vol. 19(3), pages 305-321, December.
    13. Michael D. Smith & Erik Brynjolfsson, 2001. "Consumer Decision-making at an Internet Shopbot: Brand Still Matters," NBER Chapters, in: E-commerce, pages 541-558, National Bureau of Economic Research, Inc.
    14. Vakratsas, Demetrios & Ma, Zhenfeng, 2005. "A Look at the Long-run Effectiveness of Multimedia Advertising and Its Implications for Budget Allocation Decisions," Journal of Advertising Research, Cambridge University Press, vol. 45(2), pages 241-254, June.
    15. Becker, Jan U. & Greve, Goetz & Albers, Sönke, 2009. "The impact of technological and organizational implementation of CRM on customer acquisition, maintenance, and retention," International Journal of Research in Marketing, Elsevier, vol. 26(3), pages 207-215.
    16. Frank M. Bass & Robert P. Leone, 1983. "Temporal Aggregation, the Data Interval Bias, and Empirical Estimation of Bimonthly Relations from Annual Data," Management Science, INFORMS, vol. 29(1), pages 1-11, January.
    17. Roland T. Rust & Peter C. Verhoef, 2005. "Optimizing the Marketing Interventions Mix in Intermediate-Term CRM," Marketing Science, INFORMS, vol. 24(3), pages 477-489, December.
    18. Robert P. Leone, 1995. "Generalizing What Is Known About Temporal Aggregation and Advertising Carryover," Marketing Science, INFORMS, vol. 14(3_supplem), pages 141-150.
    19. Keller, Kevin Lane, 1987. "Memory Factors in Advertising: The Effect of Advertising Retrieval Cues on Brand Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 316-333, December.
    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. Acatrinei Carmen, 2015. "Remarks About Online Advertising - A Qualitative Research Among Romanian Professionals," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 1201-1206, July.
    2. Patrick Winter & Paul Alpar, 2020. "Effects of search engine advertising on user clicks, conversions, and basket choice," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 837-862, December.
    3. Li, Yang & Liu, Feng, 2021. "Joint inventory and pricing control with lagged price responses," International Journal of Production Economics, Elsevier, vol. 241(C).
    4. Nicolás Aramayo & Mario Schiappacasse & Marcel Goic, 2023. "A Multiarmed Bandit Approach for House Ads Recommendations," Marketing Science, INFORMS, vol. 42(2), pages 271-292, March.
    5. Di Wu & Zhenning Xu & Seung Bach, 2023. "Using Google Trends to predict and forecast avocado sales," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 629-641, December.

    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. Ralph Breuer & Malte Brettel & Andreas Engelen, 2011. "Incorporating long-term effects in determining the effectiveness of different types of online advertising," Marketing Letters, Springer, vol. 22(4), pages 327-340, November.
    2. Philip Hans Franses, 2021. "Marketing response and temporal aggregation," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(2), pages 111-117, June.
    3. Eelco Kappe & Ashley Stadler Blank & Wayne S. DeSarbo, 2014. "A General Multiple Distributed Lag Framework for Estimating the Dynamic Effects of Promotions," Management Science, INFORMS, vol. 60(6), pages 1489-1510, June.
    4. Li, Yang & Liu, Feng, 2021. "Joint inventory and pricing control with lagged price responses," International Journal of Production Economics, Elsevier, vol. 241(C).
    5. Lewis, Michael & Whitler, Kimberly A. & Hoegg, JoAndrea, 2013. "Customer Relationship Stage and the Use of Picture-Dominant versus Text-Dominant Advertising: A Field Study," Journal of Retailing, Elsevier, vol. 89(3), pages 263-280.
    6. Dorotic, Matilda & Verhoef, Peter C. & Fok, Dennis & Bijmolt, Tammo H.A., 2014. "Reward redemption effects in a loyalty program when customers choose how much and when to redeem," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 339-355.
    7. Puccinelli, Nancy M. & Goodstein, Ronald C. & Grewal, Dhruv & Price, Robert & Raghubir, Priya & Stewart, David, 2009. "Customer Experience Management in Retailing: Understanding the Buying Process," Journal of Retailing, Elsevier, vol. 85(1), pages 15-30.
    8. Franses, Philip Hans, 2006. "Forecasting in Marketing," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 18, pages 983-1012, Elsevier.
    9. Chen, Chien-Ming & van Dalen, Jan, 2010. "Measuring dynamic efficiency: Theories and an integrated methodology," European Journal of Operational Research, Elsevier, vol. 203(3), pages 749-760, June.
    10. Vivian Qin & Koen Pauwels & Bobby Zhou, 2024. "Data-driven budget allocation of retail media by ad product, funnel metric, and brand size," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 235-249, June.
    11. F. Gozzi & C. Marinelli & S. Savin, 2009. "On Controlled Linear Diffusions with Delay in a Model of Optimal Advertising under Uncertainty with Memory Effects," Journal of Optimization Theory and Applications, Springer, vol. 142(2), pages 291-321, August.
    12. Julian Villanueva & Pradeep Bhardwaj & Sridhar Balasubramanian & Yuxin Chen, 2007. "Customer relationship management in competitive environments: The positive implications of a short-term focus," Quantitative Marketing and Economics (QME), Springer, vol. 5(2), pages 99-129, June.
    13. Qiaowei Shen & J. Miguel Villas-Boas, 2018. "Behavior-Based Advertising," Management Science, INFORMS, vol. 64(5), pages 2047-2064, May.
    14. Zizhuo Wang & Chaolin Yang & Hongsong Yuan & Yaowu Zhang, 2021. "Aggregation Bias in Estimating Log‐Log Demand Function," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 3906-3922, November.
    15. 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.
    16. Jiwoong Shin & K. Sudhir, 2010. "A Customer Management Dilemma: When Is It Profitable to Reward One's Own Customers?," Marketing Science, INFORMS, vol. 29(4), pages 671-689, 07-08.
    17. Andrés Musalem & Yogesh V. Joshi, 2009. "—How Much Should You Invest in Each Customer Relationship? A Competitive Strategic Approach," Marketing Science, INFORMS, vol. 28(3), pages 555-565, 05-06.
    18. 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.
    19. He Xi & Lopez Rigoberto & Liu Yizao, 2017. "Are Online and Offline Advertising Substitutes or Complements? Evidence from U.S. Food Industries," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 15(2), pages 1-10, December.
    20. Kiygi-Calli, Meltem & Weverbergh, Marcel & Franses, Philip Hans, 2017. "Modeling intra-seasonal heterogeneity in hourly advertising-response models: Do forecasts improve?," International Journal of Forecasting, Elsevier, vol. 33(1), pages 90-101.

    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:joinma:v:26:y:2012:i:3:p:155-166. 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/journal-of-interactive-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.