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Examining Brand Strength of Political Candidates: a Performance Premium Approach

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Listed:
  • Beth L. Fossen

    (Indiana University)

  • David A. Schweidel

    (Emory University)

  • Michael Lewis

    (Emory University)

Abstract

Despite the growth of research on political marketing, fundamental questions concerning brand value of political candidates and its relationship with marketing mix activities remain unanswered. This research extends premium-based brand valuation methods to the political context by presenting a performance premium approach to assessing the strength of politicians’ brands and exploring the relationship between politician brand strength and political advertising. We develop a joint hierarchical Bayesian model of brand performance and marketing activity and estimate our model using data on the election performance and advertising expenditures of political candidates from US House of Representatives elections. Our findings suggest that politicians who possess a strong brand—those that perform better than expected given the partisan leanings of their districts, advertising spending, and other model controls—face a consequence for their brand strength in which political advertising by their opponents has a stronger negative impact on their performance compared to the effect of political advertising against politicians with weaker brands. We discuss the implications of our findings for political marketing.

Suggested Citation

  • Beth L. Fossen & David A. Schweidel & Michael Lewis, 2019. "Examining Brand Strength of Political Candidates: a Performance Premium Approach," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 6(3), pages 63-75, December.
    • Handle: RePEc:spr:custns:v:6:y:2019:i:3:d:10.1007_s40547-019-0092-z
    DOI: 10.1007/s40547-019-0092-z
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    References listed on IDEAS

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    1. Park, David K. & Gelman, Andrew & Bafumi, Joseph, 2004. "Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls," Political Analysis, Cambridge University Press, vol. 12(4), pages 375-385.
    2. Brett R. Gordon & Wesley R. Hartmann, 2013. "Advertising Effects in Presidential Elections," Marketing Science, INFORMS, vol. 32(1), pages 19-35, June.
    3. Alan Gerber, 2004. "Does campaign spending work?," Natural Field Experiments 00246, The Field Experiments Website.
    4. Kevin Lane Keller & Donald R. Lehmann, 2006. "Brands and Branding: Research Findings and Future Priorities," Marketing Science, INFORMS, vol. 25(6), pages 740-759, 11-12.
    5. Campbell, Margaret C & Keller, Kevin Lane, 2003. "Brand Familiarity and Advertising Repetition Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 292-304, September.
    6. David A. Schweidel & George Knox, 2013. "Incorporating Direct Marketing Activity into Latent Attrition Models," Marketing Science, INFORMS, vol. 32(3), pages 471-487, May.
    7. Aragones, Enriqueta & Palfrey, Thomas R., 2004. "The Effect of Candidate Quality on Electoral Equilibrium: An Experimental Study," American Political Science Review, Cambridge University Press, vol. 98(1), pages 77-90, February.
    8. Kumar, Anand & Krishnan, Shanker, 2004. "Memory Interference in Advertising: A Replication and Extension," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(4), pages 602-611, March.
    9. Yanwen Wang & Michael Lewis & David A. Schweidel, 2018. "A Border Strategy Analysis of Ad Source and Message Tone in Senatorial Campaigns," Marketing Science, INFORMS, vol. 37(3), pages 333-355, May.
    10. Wendy W. Moe & David A. Schweidel, 2012. "Online Product Opinions: Incidence, Evaluation, and Evolution," Marketing Science, INFORMS, vol. 31(3), pages 372-386, May.
    11. Jacobson, Gary C., 1978. "The Effects of Campaign Spending in Congressional Elections," American Political Science Review, Cambridge University Press, vol. 72(2), pages 469-491, June.
    12. Gerber, Alan, 1998. "Estimating the Effect of Campaign Spending on Senate Election Outcomes Using Instrumental Variables," American Political Science Review, Cambridge University Press, vol. 92(2), pages 401-411, June.
    13. Kenny, Christopher & McBurnett, Michael, 1994. "An Individual-Level Multiequation Model of Expenditure Effects in Contested House Elections," American Political Science Review, Cambridge University Press, vol. 88(3), pages 699-707, September.
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    Cited by:

    1. David A. Schweidel & Neil Bendle, 2019. "Marketing and Politics: Strange Bedfellows no More," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 6(3), pages 37-40, December.

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