IDEAS home Printed from https://ideas.repec.org/a/eee/joinma/v42y2018icp32-45.html
   My bibliography  Save this article

The Effect of House Ads on Multichannel Sales

Author

Listed:
  • Goic, Marcel
  • Álvarez, Rodolfo
  • Montoya, Ricardo

Abstract

Similar to in-store displays in brick-and-mortar stores, house ads promote a set of specific products for customers who have reached the website. In contrast to general display advertising whose primary goal is to bring traffic to the website, these self-promotional ads are aimed to highlight specific products and enhance conversion. We analyzed more than 300 house ad campaigns to study the effect of this type of promotional display on customer behavior across channels. We included not only direct effects on SKU sales in all channels, but also the promotional effect at the category level. Our model uses aggregated data that are easy to collect for most multichannel retailers, facilitating its implementation in similar settings. We found that (1) despite observing positive cross-channel effects, the primary effect occurs on online sales, (2) the effects are usually short-lived, and (3) there are no spillover effects on the corresponding category. We characterize the effects that house ads have on the whole system in terms of design variables such as type of display, and scope and duration of the campaign. Our evidence suggests that the effectiveness depends on the product category and that regular banners are the most effective in generating traffic. Interestingly, the depth of the promotion plays no role on the effect of the house ads' effectiveness. Based on the results, we provide suggestions for improving routine promotional planning.

Suggested Citation

  • Goic, Marcel & Álvarez, Rodolfo & Montoya, Ricardo, 2018. "The Effect of House Ads on Multichannel Sales," Journal of Interactive Marketing, Elsevier, vol. 42(C), pages 32-45.
  • Handle: RePEc:eee:joinma:v:42:y:2018:i:c:p:32-45
    DOI: 10.1016/j.intmar.2017.12.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1094996817300762
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.intmar.2017.12.001?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. Thorsten Wiesel & Koen Pauwels & Joep Arts, 2011. "Practice Prize Paper --Marketing's Profit Impact: Quantifying Online and Off-line Funnel Progression," Marketing Science, INFORMS, vol. 30(4), pages 604-611, July.
    2. Vincent R. Nijs & Marnik G. Dekimpe & Jan-Benedict E.M. Steenkamps & Dominique M. Hanssens, 2001. "The Category-Demand Effects of Price Promotions," Marketing Science, INFORMS, vol. 20(1), pages 1-22, September.
    3. David Besanko & Sachin Gupta & Dipak Jain, 1998. "Logit Demand Estimation Under Competitive Pricing Behavior: An Equilibrium Framework," Management Science, INFORMS, vol. 44(11-Part-1), pages 1533-1547, November.
    4. Jura Liaukonyte & Thales Teixeira & Kenneth C. Wilbur, 2015. "Television Advertising and Online Shopping," Marketing Science, INFORMS, vol. 34(3), pages 311-330, May.
    5. Kireyev, Pavel & Pauwels, Koen & Gupta, Sunil, 2016. "Do display ads influence search? Attribution and dynamics in online advertising," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 475-490.
    6. Pauwels, Koen & Leeflang, Peter S.H. & Teerling, Marije L. & Huizingh, K.R. Eelko, 2011. "Does Online Information Drive Offline Revenues?," Journal of Retailing, Elsevier, vol. 87(1), pages 1-17.
    7. 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.
    8. Lohtia, Ritu & Donthu, Naveen & Hershberger, Edmund K., 2003. "The Impact of Content and Design Elements on Banner Advertising Click-through Rates," Journal of Advertising Research, Cambridge University Press, vol. 43(4), pages 410-418, December.
    9. Inman, J Jeffrey & McAlister, Leigh & Hoyer, Wayne D, 1990. "Promotion Signal: Proxy for a Price Cut?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(1), pages 74-81, June.
    10. Magid M. Abraham & Leonard M. Lodish, 1987. "Promoter: An Automated Promotion Evaluation System," Marketing Science, INFORMS, vol. 6(2), pages 101-123.
    11. 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.
    12. Alan L. Montgomery, 1997. "Creating Micro-Marketing Pricing Strategies Using Supermarket Scanner Data," Marketing Science, INFORMS, vol. 16(4), pages 315-337.
    13. Beatty, Sharon E & Smith, Scott M, 1987. "External Search Effort: An Investigation across Several Product Categories," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(1), pages 83-95, June.
    14. Koen Pauwels & Imran Currim & Marnik Dekimpe & Dominique Hanssens & Natalie Mizik & Eric Ghysels & Prasad Naik, 2004. "Modeling Marketing Dynamics by Time Series Econometrics," Marketing Letters, Springer, vol. 15(4), pages 167-183, December.
    15. Oliver Rutz & Randolph Bucklin, 2012. "Does banner advertising affect browsing for brands? clickstream choice model says yes, for some," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 231-257, June.
    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. Neslin, Scott A., 2022. "The omnichannel continuum: Integrating online and offline channels along the customer journey," Journal of Retailing, Elsevier, vol. 98(1), pages 111-132.
    2. Cai, Ya-Jun & Lo, Chris K.Y., 2020. "Omni-channel management in the new retailing era: A systematic review and future research agenda," International Journal of Production Economics, Elsevier, vol. 229(C).
    3. 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.
    4. Goic, Marcel & Rojas, Andrea & Saavedra, Ignacio, 2021. "The Effectiveness of Triggered Email Marketing in Addressing Browse Abandonments," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 118-145.

    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. Pauwels, Koen & Aksehirli, Zeynep & Lackman, Andrew, 2016. "Like the ad or the brand? Marketing stimulates different electronic word-of-mouth content to drive online and offline performance," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 639-655.
    2. Vasu Unnava & Ashwin Aravindakshan, 2021. "How does consumer engagement evolve when brands post across multiple social media?," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 864-881, September.
    3. Pauwels, Koen & Neslin, Scott A., 2015. "Building With Bricks and Mortar: The Revenue Impact of Opening Physical Stores in a Multichannel Environment," Journal of Retailing, Elsevier, vol. 91(2), pages 182-197.
    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. Andre Bonfrer & Ernst R. Berndt & Alvin Silk, 2006. "Anomalies in Estimates of Cross-Price Elasticities for Marketing Mix Models: Theory and Empirical Test," NBER Working Papers 12756, National Bureau of Economic Research, Inc.
    6. Anderl, Eva & Becker, Ingo & von Wangenheim, Florian & Schumann, Jan Hendrik, 2016. "Mapping the customer journey: Lessons learned from graph-based online attribution modeling," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 457-474.
    7. Anderl, Eva & Schumann, Jan Hendrik & Kunz, Werner, 2016. "Helping Firms Reduce Complexity in Multichannel Online Data: A New Taxonomy-Based Approach for Customer Journeys," Journal of Retailing, Elsevier, vol. 92(2), pages 185-203.
    8. Michel Wedel & Jie Zhang & Fred Feinberg, 2015. "Implementing Retail Category Management: a Model-Based Approach to Setting Optimal Markups," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(2), pages 165-176, June.
    9. Reimer, Kerstin & Rutz, Oliver J. & Pauwels, Koen, 2014. "How Online Consumer Segments Differ in Long-term Marketing Effectiveness," Journal of Interactive Marketing, Elsevier, vol. 28(4), pages 271-284.
    10. Bayer, Emanuel & Srinivasan, Shuba & Riedl, Edward J. & Skiera, Bernd, 2020. "The impact of online display advertising and paid search advertising relative to offline advertising on firm performance and firm value," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 789-804.
    11. 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.
    12. Anocha Aribarg & Neeraj Arora, 2008. "—Interbrand Variant Overlap: Impact on Brand Preference and Portfolio Profit," Marketing Science, INFORMS, vol. 27(3), pages 474-491, 05-06.
    13. Haans, A.J. & Gijsbrechts, E., 2011. "One-deal-fits-all? : On category sales promotion effectiveness in smaller versus larger supermarkets," Other publications TiSEM 2c1a69db-bdfa-4988-a84c-4, Tilburg University, School of Economics and Management.
    14. Timothy Richards, 2007. "A nested logit model of strategic promotion," Quantitative Marketing and Economics (QME), Springer, vol. 5(1), pages 63-91, March.
    15. Bies, Suzanne, 2022. "Examining the effectiveness of activation techniques on consumer behavior in temporary loyalty programs," Other publications TiSEM ade86df3-4846-4318-938f-a, Tilburg University, School of Economics and Management.
    16. Epstein, Leonardo D. & Inostroza-Quezada, Ignacio E. & Goodstein, Ronald C. & Choi, S. Chan, 2021. "Dynamic effects of store promotions on purchase conversion: Expanding technology applications with innovative analytics," Journal of Business Research, Elsevier, vol. 128(C), pages 279-289.
    17. van Ewijk, Bernadette J. & Stubbe, Astrid & Gijsbrechts, Els & Dekimpe, Marnik G., 2021. "Online display advertising for CPG brands: (When) does it work?," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 271-289.
    18. Haans, Hans & Gijsbrechts, Els, 2011. "“One-deal-fits-all?” On Category Sales Promotion Effectiveness in Smaller versus Larger Supermarkets," Journal of Retailing, Elsevier, vol. 87(4), pages 427-443.
    19. Suresh Divakar & Brian T. Ratchford & Venkatesh Shankar, 2005. "Practice Prize Article—: A Multichannel, Multiregion Sales Forecasting Model and Decision Support System for Consumer Packaged Goods," Marketing Science, INFORMS, vol. 24(3), pages 334-350, July.
    20. Guitart, Ivan A. & Gonzalez, Jorge & Stremersch, Stefan, 2018. "Advertising non-premium products as if they were premium: The impact of advertising up on advertising elasticity and brand equity," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 471-489.

    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:42:y:2018:i:c:p:32-45. 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.