IDEAS home Printed from https://ideas.repec.org/p/ems/eureri/166.html
   My bibliography  Save this paper

The Role of Schema Salience in Ad Processing and Evaluation

Author

Listed:
  • Loef, J.
  • Antonides, G.
  • van Raaij, W.F.

Abstract

Advertising grids such as the Rossiter-Percy grid (Rossiter & Percy 1991, 1997) propose that brand-matching advertising is more effective than brand-mismatching advertising. However, for the match hypothesis to hold the brand schema needs to be salient in ad processing and evaluation. In this study we test how schema salience affects ad processing and evaluation. Two separate experiments were conducted, employing the same brand descriptions and ad scenarios. In the first experiment, the brand schema was made salient in ad processing, whereas in the second experiment the ad schema was made salient. In the first experiment brand(ad combinations were evaluated in line with the Rossiter-Percy advertising grid. If the brand schema was salient, consumers evaluated matching combinations of ad type and brand purchase motivation more favorably than mismatching combinations. In the second experiment, brand(ad combinations were evaluated in accordance with the existing ad schema. This implies that when the ad schema was salient, evaluations of brand(ad combinations were not affected by matches or mismatches between ads and purchase motivations for the brands. The two studies show that evaluation of brand(ad combinations depends on the schema that is salient at the time of information processing. Consequently, brand-matching advertising is effective only if consumers consciously relate ad information to brand knowledge, i.e., if the brand schema is salient in ad processing.

Suggested Citation

  • Loef, J. & Antonides, G. & van Raaij, W.F., 2002. "The Role of Schema Salience in Ad Processing and Evaluation," ERIM Report Series Research in Management ERS-2002-15-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.
    • Handle: RePEc:ems:eureri:166
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/166/erimrs20020208092234.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peracchio, Laura A & Tybout, Alice M, 1996. "The Moderating Role of Prior Knowledge in Schema-Based Product Evaluation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(3), pages 177-192, December.
    2. Loef, J. & Antonides, G. & van Raaij, W.F., 2001. "The Effectiveness of Advertising Matching Purchase Motivation," ERIM Report Series Research in Management ERS-2001-65-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.
    3. Stayman, Douglas M & Alden, Dana L & Smith, Karen H, 1992. "Some Effects of Schematic Processing on Consumer Expectations and Disconfirmation Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(2), pages 240-255, September.
    4. Holbrook, Morris B & Batra, Rajeev, 1987. "Assessing the Role of Emotions as Mediators of Consumer Responses to Advertising," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 404-420, December.
    5. Goodstein, Ronald C, 1993. "Category-Based Applications and Extensions in Advertising: Motivating More Extensive Ad Processing," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(1), pages 87-99, June.
    6. Heckler, Susan E & Childers, Terry L, 1992. "The Role of Expectancy and Relevancy in Memory for Verbal and Visual Information: What Is Incongruency?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(4), pages 475-492, March.
    7. Lee, Yih Hwai & Mason, Charlotte, 1999. "Responses to Information Incongruency in Advertising: The Role of Expectancy, Relevancy, and Humor," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(2), pages 156-169, September.
    8. Park, C Whan & Milberg, Sandra & Lawson, Robert, 1991. "Evaluation of Brand Extensions: The Role of Product Feature Similarity and Brand Concept Consistency," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 185-193, September.
    9. Olney, Thomas J & Holbrook, Morris B & Batra, Rajeev, 1991. "Consumer Responses to Advertising: The Effects of Ad Content, Emotions, and Attitude toward the Ad on Viewing Time," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 440-453, March.
    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. Loef, J. & Antonides, G. & van Raaij, W.F., 2001. "The Effectiveness of Advertising Matching Purchase Motivation," ERIM Report Series Research in Management ERS-2001-65-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.
    2. Georgios Halkias & Flora Kokkinaki, 2010. "Attention, Memory, and Evaluation of Schema Incongruent Brand Messages. An Empirical Study," Labsi Experimental Economics Laboratory University of Siena 032, University of Siena.
    3. Maria Mercanti-Guérin & Christophe Bezes, 2010. "La créativité publicitaire représente-t-elle un danger pour les marques ?," Post-Print hal-02056938, HAL.
    4. Hutter, Katharina & Hoffmann, Stefan, 2014. "Surprise, Surprise. Ambient Media as Promotion Tool for Retailers," Journal of Retailing, Elsevier, vol. 90(1), pages 93-110.
    5. Braun-LaTour, Kathryn A. & Puccinelli, Nancy M. & Mast, Fred W., 2007. "Mood, information congruency, and overload," Journal of Business Research, Elsevier, vol. 60(11), pages 1109-1116, November.
    6. Christophe Bezes, 2010. "Tout ce qui est congruent, est-il similaire ? Propositions de définition du concept de congruence en marketing," Post-Print hal-00573441, HAL.
    7. Gaëlle Pantin-Sohier & Caroline Lancelot Miltgen, 2012. "L'impact des stimuli informationnels d'un nouveau produit alimentaire sur les réactions affectives et cognitives du consommateur," Post-Print hal-01117036, HAL.
    8. Lee, Michael S.W. & Septianto, Felix & Frethey-Bentham, Catherine & Gao, Esther, 2020. "Condoms and bananas: Shock advertising explained through congruence theory," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    9. Gerrath, Maximilian H.E.E. & Biraglia, Alessandro, 2021. "How less congruent new products drive brand engagement: The role of curiosity," Journal of Business Research, Elsevier, vol. 127(C), pages 13-24.
    10. Boujena, Othman & Ulrich, Isabelle & Piris, Yolande & Chicheportiche, Laëtitia, 2021. "Using food pictorial metaphor in the advertising of non-food brands: An exploratory investigation of consumer interpretation and affective response," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    11. Moti Zwilling & Shalom Levy & Yaniv Gvili & Peter Dostal, 2020. "Machine learning as an effective paradigm for persuasive message design," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(3), pages 1023-1045, June.
    12. Theodore J Noseworthy & Kyle B Murray & Fabrizio Di Muro & Gita JoharEditor & Page MoreauAssociate Editor, 2018. "When Two Wrongs Make a Right: Using Conjunctive Enablers to Enhance Evaluations for Extremely Incongruent New Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(6), pages 1379-1396.
    13. Söderlund, Magnus & Rosengren, Sara, 2010. "The happy versus unhappy service worker in the service encounter:Assessing the impact on customer satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 17(2), pages 161-169.
    14. Marion Garaus & Georgios Halkias, 2020. "One color fits all: product category color norms and (a)typical package colors," Review of Managerial Science, Springer, vol. 14(5), pages 1077-1099, October.
    15. Sylvain Sénéchal & Laurent Georges & Jean Pernin, 2014. "Alliances Between Corporate and Fair Trade Brands: Examining the Antecedents of Overall Evaluation of the Co-branded Product," Journal of Business Ethics, Springer, vol. 124(3), pages 365-381, October.
    16. Mai, Robert & Hutter, Katharina, 2014. "Non-Linear Effects of Absurdity in Advertising," EconStor Preprints 96480, ZBW - Leibniz Information Centre for Economics.
    17. Goedertier, Frank & Dawar, Niraj & Geuens, Maggie & Weijters, Bert, 2015. "Brand typicality and distant novel extension acceptance: How risk-reduction counters low category fit," Journal of Business Research, Elsevier, vol. 68(1), pages 157-165.
    18. Christophe Bezes & Maria Mercanti-Guérin, 2017. "Similarity in marketing: Scope, measurement, and fields of application [La similarité en marketing : périmètre, mesure et champs d'application]," Post-Print hal-02086666, HAL.
    19. Rosbergen, Edward & Wedel, Michel & Pieters, Rik, 1997. "Analyzing visual attention tot repeated print advertising using scanpath theory," Research Report 97B32, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    20. Chaudhuri, Arjun & Ligas, Mark, 2009. "Consequences of Value in Retail Markets," Journal of Retailing, Elsevier, vol. 85(3), pages 406-419.

    More about this item

    Keywords

    advertising; advertising grid; brand perception; matching hypothesis; purchase motivation;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

    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:ems:eureri: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: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/erimanl.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.