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Message personalization and real-time adaptation as next innovations in sport sponsorship management? How run-of-play and team affiliation affect viewer response

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  • Breuer, Christoph
  • Boronczyk, Felix
  • Rumpf, Christopher

Abstract

The digitization of sports content and technological innovations in sports media offer disruptive new ways to adapt sponsor messages to real-time events during live broadcasts. To date, sponsorship management mostly ignores the run-of-play and viewers’ team affiliation. This paper seeks to demonstrate how a dynamic management approach can contribute to greater sponsor message efficiency. For this purpose, real-time data were collected during live broadcasts of the 2018 soccer World Cup. Arousal was captured using changes in heart rate, attention to sponsor brands was measured via eye tracking, and in-play betting odds were continuously obtained from a sports betting website. Mixed models predict viewer arousal and sponsor brand attention from biometric and betting data. Evidence is provided for how run-of-play and viewer characteristics affect sponsor message communication outcomes. The applicability of the models for distinctive sponsor exposure tactics is demonstrated, and the theoretical and managerial implications are outlined.

Suggested Citation

  • Breuer, Christoph & Boronczyk, Felix & Rumpf, Christopher, 2021. "Message personalization and real-time adaptation as next innovations in sport sponsorship management? How run-of-play and team affiliation affect viewer response," Journal of Business Research, Elsevier, vol. 133(C), pages 309-316.
    • Handle: RePEc:eee:jbrese:v:133:y:2021:i:c:p:309-316
    DOI: 10.1016/j.jbusres.2021.05.003
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    References listed on IDEAS

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    Cited by:

    1. Aragonés-Jericó, Cristina & Küster-Boluda, Inés & Vila-López, Natalia, 2023. "Emociones y valor: sus efectos en la satisfacción, lealtad y respuesta al patrocinio deportivo [Emotions and value: its effects on satisfaction, loyalty and response to sports sponsorship]," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 35(1), pages 80-99, June.

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