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Elemente und Vorgehensweisen von Influencer Relations

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  • Baumgärtner, Fabienne

Abstract

Infolge des stetigen Wandels auf den Märkten und der heutigen Gesellschaft durch die Digitalisierung verändern sich auch die Maßnahmen im Bereich Marketing (Kaiser 2019). In den Unternehmen befinden sich Marketingaktivitäten stetig in der Umwandlung, um sich den sich verändernden Gegebenheit anzupassen. Die vielfältigen Möglichkeiten, die das Internet heutzutage bietet, sind ein wesentlicher Grund dafür, dass Käufer und Verbraucher der klassischen Werbung immer weniger Vertrauen schenken und stattdessen Empfehlungen von Freunden, Bekannten oder Experte folgen (Kaiser 2019). Diese Entwicklung wird im digitalen Bereich durch die Influencer Kooperationen bedient. Mit der Ausweitung von Onlineangeboten haben sich die Grenzen der Unternehmenskommunikation immer weiter verschoben und umfassen nun neue Kommunikationspartner, die Influencer (Herzmann 2015, S. 9). Influencer sind sogenannte Meinungsführer und Multiplikatoren in den Sozialen Medien. Das Thema der Zusammenarbeit mit Influencern ist schon lange nichts Neues mehr. Wenn man als Unternehmen Aufmerksamkeit erlangen möchte, kann dies mit Hilfe von Meinungsmachern erreicht werden. Denn Influencer haben mehr als nur Reichweite zu bieten, sie haben echte Anhänger und Fans, die auf die Glaubwürdigkeit der Influencer vertrauen, wodurch eine enge Bindung entstehen kann. Infolgedessen, dass es neue Kooperationspartner gibt, müssen die Kommunikationsinhalte und -strukturen im Unternehmen anders aufbereitet werden. Wer sich für Influencer Kooperationen in der Kommunikation entscheidet, muss sich des Stellenwerts erst einmal bewusst werden. Denn insbesondere durch das Beziehungsmanagement zu Influencern kann die digitale Reputation aufgebaut werden und maßgeblich zum Erfolg der Organisation führen (Herzmann 2015, S. 11). Wer sein Produkt oder seine Marke voranbringen will und auf eine genaue Zielgruppe ausrichten möchte, kommt nicht um das Thema Influencer herum. Denn Meinungsmacher haben extrem viele Facetten und kommunizieren über Social Media Kanäle.

Suggested Citation

  • Baumgärtner, Fabienne, 2020. "Elemente und Vorgehensweisen von Influencer Relations," Working Papers for Marketing & Management 46, Offenburg University, Department of Media and Information.
    • Handle: RePEc:zbw:ouwpmm:46
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    References listed on IDEAS

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    1. Ian W. R. Martin & Christian Wagner, 2019. "What Is the Expected Return on a Stock?," Journal of Finance, American Finance Association, vol. 74(4), pages 1887-1929, August.
    2. Nikolka, Till, 2018. "Family Return Migration," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181641, Verein für Socialpolitik / German Economic Association.
    3. Liang Li, 2019. "Data and market definition of Internet-based businesses," Competition and Regulation in Network Industries, , vol. 20(1), pages 54-85, March.
    4. Yasuhide Okuyama & Krista D. Yu, 2019. "Return of the inoperability," Economic Systems Research, Taylor & Francis Journals, vol. 31(4), pages 467-480, October.
    5. Chris M. Lawrey & Brandon C. L. Morris, 2019. "Corporate diversification and abnormal returns," Journal of Asset Management, Palgrave Macmillan, vol. 20(1), pages 31-37, February.
    6. Wei Lin & Gloria González‐Rivera, 2019. "Extreme returns and intensity of trading," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1121-1140, November.
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