IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v36y2017i6p862-878.html
   My bibliography  Save this article

Does Offline TV Advertising Affect Online Chatter? Quasi-Experimental Analysis Using Synthetic Control

Author

Listed:
  • Seshadri Tirunillai

    (C. T. Bauer College of Business, University of Houston, Houston, Texas 77204)

  • Gerard J. Tellis

    (Marshall School of Business, University of Southern California, Los Angeles, California 90089)

Abstract

This study analyzes the impact of offline television advertising on multiple metrics of online chatter or user-generated content. The context is a quasi experiment in which a focal brand undertakes a massive advertising campaign for a short period of time. The authors estimate multiple dimensions of chatter (popularity, negativity, visibility, and virality) from numerous raw metrics using the content and the hyperlink structure of consumer reviews and blogs. The authors use the method of synthetic control to construct a counterfactual (synthetic) brand as a convex combination of the rivals during the preadvertising period. The gap in the dimensions of chatter between the focal brand and the synthetic brand in the test versus advertising periods assesses the influence of advertising. Offline television advertising causes a short but significant positive effect on online chatter. This effect is stronger on information-spread dimensions (visibility and virality) than on content-based dimensions (popularity and negativity). Importantly, advertising has a small short-term effect in decreasing negativity in online chatter.

Suggested Citation

  • Seshadri Tirunillai & Gerard J. Tellis, 2017. "Does Offline TV Advertising Affect Online Chatter? Quasi-Experimental Analysis Using Synthetic Control," Marketing Science, INFORMS, vol. 36(6), pages 862-878, November.
  • Handle: RePEc:inm:ormksc:v:36:y:2017:i:6:p:862-878
    DOI: 10.1287/mksc.2017.1040
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/mksc.2017.1040
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.2017.1040?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. Lesley Chiou & Catherine Tucker, 2012. "How Does the Use of Trademarks by Third-Party Sellers Affect Online Search?," Marketing Science, INFORMS, vol. 31(5), pages 819-837, September.
    2. Shuba Srinivasan & Oliver J. Rutz & Koen Pauwels, 2016. "Paths to and off purchase: quantifying the impact of traditional marketing and online consumer activity," Journal of the Academy of Marketing Science, Springer, vol. 44(4), pages 440-453, July.
    3. Olivier Toubia & Andrew T. Stephen, 2013. "Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?," Marketing Science, INFORMS, vol. 32(3), pages 368-392, May.
    4. Avi Goldfarb & Catherine Tucker, 2011. "Online Display Advertising: Targeting and Obtrusiveness," Marketing Science, INFORMS, vol. 30(3), pages 389-404, 05-06.
    5. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2011. "Synth: An R Package for Synthetic Control Methods in Comparative Case Studies," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i13).
    6. 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.
    7. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    8. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    9. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    10. Alok R. Saboo & Anindita Chakravarty & Rajdeep Grewal, 2016. "Organizational Debut on the Public Stage: Marketing Myopia and Initial Public Offerings," Marketing Science, INFORMS, vol. 35(4), pages 656-675, July.
    11. Abhishek Borah & Gerard J. Tellis, 2014. "Make, Buy, or Ally? Choice of and Payoff from Announcements of Alternate Strategies for Innovations," Marketing Science, INFORMS, vol. 33(1), pages 114-133, January.
    12. Onishi, Hiroshi & Manchanda, Puneet, 2012. "Marketing activity, blogging and sales," International Journal of Research in Marketing, Elsevier, vol. 29(3), pages 221-234.
    13. Rohit Aggarwal & Ram Gopal & Ramesh Sankaranarayanan & Param Vir Singh, 2012. "Blog, Blogger, and the Firm: Can Negative Employee Posts Lead to Positive Outcomes?," Information Systems Research, INFORMS, vol. 23(2), pages 306-322, June.
    14. 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.
    15. Shyam Gopinath & Pradeep K. Chintagunta & Sriram Venkataraman, 2013. "Blogs, Advertising, and Local-Market Movie Box Office Performance," Management Science, INFORMS, vol. 59(12), pages 2635-2654, December.
    16. Peters, Kay & Chen, Yubo & Kaplan, Andreas M. & Ognibeni, Björn & Pauwels, Koen, 2013. "Social Media Metrics — A Framework and Guidelines for Managing Social Media," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 281-298.
    17. Jura Liaukonyte & Thales Teixeira & Kenneth C. Wilbur, 2015. "Television Advertising and Online Shopping," Marketing Science, INFORMS, vol. 34(3), pages 311-330, May.
    18. Clements, Michael P. & Hendry, David F. (ed.), 2011. "The Oxford Handbook of Economic Forecasting," OUP Catalogue, Oxford University Press, number 9780195398649.
    19. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    20. Rajagopal, 2013. "Social Media Metrics," Palgrave Macmillan Books, in: Managing Social Media and Consumerism, chapter 7, pages 132-151, Palgrave Macmillan.
    21. Stock, James H. & Watson, Mark, 2011. "Dynamic Factor Models," Scholarly Articles 28469541, Harvard University Department of Economics.
    22. 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.
    23. Shyam Gopinath & Jacquelyn S. Thomas & Lakshman Krishnamurthi, 2014. "Investigating the Relationship Between the Content of Online Word of Mouth, Advertising, and Brand Performance," Marketing Science, INFORMS, vol. 33(2), pages 241-258, March.
    24. Hoch, Stephen J & Ha, Young-Won, 1986. "Consumer Learning: Advertising and the Ambiguity of Product Experience," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(2), pages 221-233, September.
    25. Dina Mayzlin & Hema Yoganarasimhan, 2012. "Link to Success: How Blogs Build an Audience by Promoting Rivals," Management Science, INFORMS, vol. 58(9), pages 1651-1668, September.
    26. 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.
    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. Alantari, Huwail J. & Currim, Imran S. & Deng, Yiting & Singh, Sameer, 2022. "An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 1-19.
    2. Yanwen Wang & Chunhua Wu & Ting Zhu, 2019. "Mobile Hailing Technology and Taxi Driving Behaviors," Marketing Science, INFORMS, vol. 38(5), pages 734-755, September.
    3. Shijie Lu & Koushyar Rajavi & Isaac Dinner, 2021. "The Effect of Over-the-Top Media Services on Piracy Search: Evidence from a Natural Experiment," Marketing Science, INFORMS, vol. 40(3), pages 548-568, May.
    4. Cheng He & O. Cem Ozturk & Chris Gu & Jorge Mario Silva-Risso, 2021. "The End of the Express Road for Hybrid Vehicles: Can Governments’ Green Product Incentives Backfire?," Marketing Science, INFORMS, vol. 40(1), pages 80-100, January.
    5. Ekin Ilseven & Phanish Puranam, 2021. "Measuring organizational resilience as a performance outcome," Journal of Organization Design, Springer;Organizational Design Community, vol. 10(3), pages 127-137, December.
    6. Arzi Adbi & Chirantan Chatterjee & Matej Drev & Anant Mishra, 2019. "When the Big One Came: A Natural Experiment on Demand Shock and Market Structure in India's Influenza Vaccine Markets," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 810-832, April.
    7. S{i}la Ada & Nadia Abou Nabout & Elea McDonnell Feit, 2020. "Context information increases revenue in ad auctions: Evidence from a policy change," Papers 2012.00840, arXiv.org.
    8. 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.
    9. Wang, Xin (Shane) & Ryoo, Jun Hyun (Joseph) & Bendle, Neil & Kopalle, Praveen K., 2021. "The role of machine learning analytics and metrics in retailing research," Journal of Retailing, Elsevier, vol. 97(4), pages 658-675.
    10. Barati Mehdi, 2019. "Punishment Severity and Crime: The Case of Arkansas," Review of Law & Economics, De Gruyter, vol. 15(1), pages 1-23, March.
    11. Luo, Anita & Baker, Andrew & Donthu, Naveen, 2019. "Capturing dynamics in the value for brand recommendations from word-of-mouth conversations," Journal of Business Research, Elsevier, vol. 104(C), pages 247-260.
    12. Beth L. Fossen & Girish Mallapragada & Anwesha De, 2021. "Impact of Political Television Advertisements on Viewers’ Response to Subsequent Advertisements," Marketing Science, INFORMS, vol. 40(2), pages 305-324, March.
    13. Bharadwaj, Neeraj & Ballings, Michel & Naik, Prasad A., 2020. "Cross-Media Consumption: Insights from Super Bowl Advertising," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 17-31.
    14. Barati, Mehdi & Adams, Scott, 2019. "Enhanced penalties for carrying firearms illegally and their effects on crime," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 207-219.
    15. Mitchell J. Lovett & Renana Peres & Linli Xu, 2019. "Can your advertising really buy earned impressions? The effect of brand advertising on word of mouth," Quantitative Marketing and Economics (QME), Springer, vol. 17(3), pages 215-255, September.
    16. Unnati Narang & Venkatesh Shankar, 2019. "Mobile App Introduction and Online and Offline Purchases and Product Returns," Marketing Science, INFORMS, vol. 38(5), pages 756-772, September.
    17. Tong Guo & Srinivasaraghavan Sriram & Puneet Manchanda, 2020. "“Let the Sunshine In”: The Impact of Industry Payment Disclosure on Physician Prescription Behavior," Marketing Science, INFORMS, vol. 39(3), pages 516-539, May.
    18. Roma, Paolo & Aloini, Davide, 2019. "How does brand-related user-generated content differ across social media? Evidence reloaded," Journal of Business Research, Elsevier, vol. 96(C), pages 322-339.
    19. Haris Krijestorac & Rajiv Garg & Vijay Mahajan, 2020. "Cross-Platform Spillover Effects in Consumption of Viral Content: A Quasi-Experimental Analysis Using Synthetic Controls," Information Systems Research, INFORMS, vol. 31(2), pages 449-472, June.
    20. Kathleen Cleeren & Marnik G. Dekimpe & Harald J. Heerde, 2017. "Marketing research on product-harm crises: a review, managerial implications, and an agenda for future research," Journal of the Academy of Marketing Science, Springer, vol. 45(5), pages 593-615, September.

    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. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    2. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    3. 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.
    4. Beth L. Fossen & David A. Schweidel, 2017. "Television Advertising and Online Word-of-Mouth: An Empirical Investigation of Social TV Activity," Marketing Science, INFORMS, vol. 36(1), pages 105-123, January.
    5. Mitchell J. Lovett & Renana Peres & Linli Xu, 2019. "Can your advertising really buy earned impressions? The effect of brand advertising on word of mouth," Quantitative Marketing and Economics (QME), Springer, vol. 17(3), pages 215-255, September.
    6. Carsten D. Schultz, 2016. "Insights from consumer interactions on a social networking site: Findings from six apparel retail brands," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(3), pages 203-217, August.
    7. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    8. Vilma Todri, 2022. "Frontiers: The Impact of Ad-Blockers on Online Consumer Behavior," Marketing Science, INFORMS, vol. 41(1), pages 7-18, January.
    9. Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
    10. Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2020. "Ensuring Stability, Accuracy and Meaningfulness in Synthetic Control Methods: The Regularized SHAP-Distance Method," IREA Working Papers 202005, University of Barcelona, Research Institute of Applied Economics, revised Apr 2020.
    11. Yanwen Wang & Chunhua Wu & Ting Zhu, 2019. "Mobile Hailing Technology and Taxi Driving Behaviors," Marketing Science, INFORMS, vol. 38(5), pages 734-755, September.
    12. Sadeghi, Ali & Kibler, Ewald, 2022. "Do bankruptcy laws matter for entrepreneurship? A Synthetic Control Method analysis of a bankruptcy reform in Finland," Journal of Business Venturing Insights, Elsevier, vol. 18(C).
    13. César Martinelli & Marco Vega, 2019. "The Economic Legacy of General Velasco: Long-Term Consequences of Interventionism," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(84), pages 102-133.
    14. Silvia Marchesi & Tania Masi, 2019. "Sovereign risk after sovereign restructuring. Private and official default," Working Papers 423, University of Milano-Bicocca, Department of Economics, revised Nov 2019.
    15. Michael Funke & Kadri Männasoo & Helery Tasane, 2023. "Regional Economic Impacts of the Øresund Cross-Border Fixed Link: Cui Bono?," CESifo Working Paper Series 10557, CESifo.
    16. Peter Backus & Thien Nguyen, 2021. "The Effect of the Sex Buyer Law on the Market for Sex, Sexual Health and Sexual Violence," Economics Discussion Paper Series 2106, Economics, The University of Manchester.
    17. Nauro Campos & Fabrizio Coricelli & Luigi Moretti,, 2020. "Choosing Institutional over Economic Integration: Are There Growth Effects?," Working Papers hal-03028143, HAL.
    18. Michał Marcin Kobierecki & Michał Pierzgalski, 2022. "Sports Mega-Events and Economic Growth: A Synthetic Control Approach," Journal of Sports Economics, , vol. 23(5), pages 567-597, June.
    19. Johanna Catherine Maclean & Brendan Saloner, 2018. "Substance Use Treatment Provider Behavior and Healthcare Reform: Evidence from Massachusetts," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 76-101, January.
    20. Diego Zambiasi & Steven Stillman, 2020. "The Pot Rush: Is Legalized Marijuana A Positive Local Amenity?," Economic Inquiry, Western Economic Association International, vol. 58(2), pages 667-679, April.

    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:36:y:2017:i:6:p:862-878. 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.