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The impact of contextual television ads on online conversions: An application in the insurance industry

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  • Guitart, Ivan A.
  • Hervet, Guillaume

Abstract

The use of contextual advertising, defined as the delivery of ads in related editorial contents, is expected to grow in the television industry due to the development of new technologies. However, the impact of this practice on behavioral consumer responses remains elusive. Using data from an online price comparison company, we study the short- and long-term effects of contextual television advertising on consumers' online conversions. We find that contextual ads have a higher immediate effect than non-contextual ads on consumers' responses for the product that is related to the context. However, both effects are similar in the long term. Additionally, our results suggest that the total impact of contextual advertising can be smaller than the net impact of neutral advertising due to a “spillover inhibition effect”: Compared with ads placed in neutral contexts, contextual ads generate fewer online conversions for products that are unrelated to the context. Our findings stress the importance of assessing the long-term impact of contextual advertising on the product portfolio, rather than just on the context-related product. Failing to do so could lead to advertising allocation decisions with lower returns on investment.

Suggested Citation

  • Guitart, Ivan A. & Hervet, Guillaume, 2017. "The impact of contextual television ads on online conversions: An application in the insurance industry," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 480-498.
  • Handle: RePEc:eee:ijrema:v:34:y:2017:i:2:p:480-498
    DOI: 10.1016/j.ijresmar.2016.10.002
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    References listed on IDEAS

    as
    1. Avi Goldfarb & Catherine Tucker, 2011. "Online Display Advertising: Targeting and Obtrusiveness," Marketing Science, INFORMS, vol. 30(3), pages 389-404, 05-06.
    2. repec:eee:ijrema:v:33:y:2016:i:3:p:508-523 is not listed on IDEAS
    3. repec:eee:ijrema:v:34:y:2017:i:1:p:173-193 is not listed on IDEAS
    4. Theodore J. Noseworthy & Fabrizio Di Muro & Kyle B. Murray, 2014. "The Role of Arousal in Congruity-Based Product Evaluation," Journal of Consumer Research, Oxford University Press, vol. 41(4), pages 1108-1126.
    5. Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
    6. Avi Goldfarb & Catherine Tucker, 2011. "Rejoinder--Implications of "Online Display Advertising: Targeting and Obtrusiveness"," Marketing Science, INFORMS, vol. 30(3), pages 413-415, 05-06.
    7. Peter E. Rossi, 2014. "Invited Paper —Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications," Marketing Science, INFORMS, vol. 33(5), pages 655-672, September.
    8. Russell, Cristel Antonia, 2002. " Investigating the Effectiveness of Product Placements in Television Shows: The Role of Modality and Plot Connection Congruence on Brand Memory and Attitude," Journal of Consumer Research, Oxford University Press, vol. 29(3), pages 306-318, December.
    9. Jan R. Landwehr & Aparna A. Labroo & Andreas Herrmann, 2011. "Gut Liking for the Ordinary: Incorporating Design Fluency Improves Automobile Sales Forecasts," Marketing Science, INFORMS, vol. 30(3), pages 416-429, 05-06.
    10. Meyers-Levy, Joan & Tybout, Alice M, 1989. " Schema Congruity as a Basis for Product Evaluation," Journal of Consumer Research, Oxford University Press, vol. 16(1), pages 39-54, June.
    11. Dirk Bergemann & Alessandro Bonatti, 2011. "Targeting in advertising markets: implications for offline versus online media," RAND Journal of Economics, RAND Corporation, vol. 42(3), pages 417-443, September.
    12. 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.
    13. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, March.
    14. Theodore J. Noseworthy & Fabrizio Di Muro & Kyle B. Murray, 2014. "The Role of Arousal in Congruity-Based Product Evaluation," Journal of Consumer Research, Oxford University Press, vol. 41(4), pages 1108-1126.
    15. 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.
    16. repec:eee:ijrema:v:33:y:2016:i:3:p:491-507 is not listed on IDEAS
    17. Burke, Raymond R & Srull, Thomas K, 1988. " Competitive Interference and Consumer Memory for Advertising," Journal of Consumer Research, Oxford University Press, vol. 15(1), pages 55-68, June.
    18. repec:eee:jouret:v:91:y:2015:i:2:p:182-197 is not listed on IDEAS
    19. P. De Pelsmacker & M. Geuens & P. Anckaert, 2002. "Media context and advertising effectiveness: The role of context appreciation and context-ad similarity," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 02/162, Ghent University, Faculty of Economics and Business Administration.
    20. Natalie Mizik & Robert Jacobson, 2004. "Are Physicians ÜEasy MarksÝ? Quantifying the Effects of Detailing and Sampling on New Prescriptions," Management Science, INFORMS, vol. 50(12), pages 1704-1715, December.
    21. Seshadri Tirunillai & Gerard J. Tellis, 2012. "Does Chatter Really Matter? Dynamics of User-Generated Content and Stock Performance," Marketing Science, INFORMS, vol. 31(2), pages 198-215, March.
    22. Kaifu Zhang & Zsolt Katona, 2012. "Contextual Advertising," Marketing Science, INFORMS, vol. 31(6), pages 980-994, November.
    23. 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.
    24. Gerard J. Tellis & Philip Hans Franses, 2006. "Optimal Data Interval for Estimating Advertising Response," Marketing Science, INFORMS, vol. 25(3), pages 217-229, 05-06.
    25. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    26. 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.
    27. Roland T. Rust & Duncan Simester & Roderick J. Brodie & V. Nilikant, 1995. "Model Selection Criteria: An Investigation of Relative Accuracy, Posterior Probabilities, and Combinations of Criteria," Management Science, INFORMS, vol. 41(2), pages 322-333, February.
    28. Goldberg, Marvin E & Gorn, Gerald J, 1987. " Happy and Sad TV Programs: How They Affect Reactions to Commercials," Journal of Consumer Research, Oxford University Press, vol. 14(3), pages 387-403, December.
    29. repec:eee:ijrema:v:33:y:2016:i:3:p:639-655 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

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