IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-054-1_76.html

Marketing Channel Construction of New Media Communication Business Market Based on Cloud Platform

In: Proceedings of the 2022 2nd International Conference on Financial Management and Economic Transition (FMET 2022)

Author

Listed:
  • Yixi Zhang

    (North Carolina State University, CHASS Humanities and Social Sciences)

Abstract

With the development and popularization of the mobile Internet, citizens can watch news, enjoy entertainment gossip, search for tips, and even deal with work covered by the network, creating the era of mass participation media. In the process of information dissemination, new media attaches great importance to the participation of users and advertisers. This also means that users have become particularly important to the new media industry. The new media communication business market understands the direct needs of subdivided users through big data analysis, and determines the positioning and marketing direction of communication services. Taking the new media communication commercial market in the urban area of City A as an example, this paper establishes a communication marketing channel system based on the cloud platform by analyzing the current situation of the communication business hall in City A and the problems existing in its marketing channels. The marketing channel system is mainly divided into its own channels. And social channels, members of each channel can obtain business information in the cloud environment, to effectively carry out sales and service work and improve the work efficiency of the entire marketing channel.

Suggested Citation

  • Yixi Zhang, 2023. "Marketing Channel Construction of New Media Communication Business Market Based on Cloud Platform," Advances in Economics, Business and Management Research, in: Vilas Gaikar & Min Hou & Sikandar Ali Qalati (ed.), Proceedings of the 2022 2nd International Conference on Financial Management and Economic Transition (FMET 2022), pages 697-704, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-054-1_76
    DOI: 10.2991/978-94-6463-054-1_76
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:advbcp:978-94-6463-054-1_76. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.