English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113318/144297 (79%)
Visitors : 51015408      Online Users : 913
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/133865


    Title: 數位廣告平台比較分析與策略運用 以Facebook和Google Ads為例
    Comparative Analyses and Strategic Applications of Digital Advertising Platforms:Cases of Facebook and Google Ads
    Authors: 洪柏青
    Hung, Po-Chin
    Contributors: 莊皓鈞
    Chuang, Hao-Chun
    洪柏青
    Hung, Po-Chin
    Keywords: 廣告效果衡量
    演算法
    千次曝光成本
    點擊成本
    點擊率
    AISAS網路消費行為模式
    產品涉入度
    即時競價
    Facebook Ad
    GDN聯播網
    GDN
    Facebook Ad
    RTB
    AD performance measurement
    Product Involvement
    Algorithm
    CPM
    CPC
    CTR
    AISAS
    Date: 2020
    Issue Date: 2021-02-01 14:04:25 (UTC+8)
    Abstract: 近年來,傳統廣告在行銷傳播工具的重要地位已被數位廣告所取代。但過去的學術研究多著重在數位廣告本身的成效與機制,而少從廣告主的角度來探討,包括產品的涉入程度不同與產品行銷預算多寡,是否影響與數位廣告平台的契合度,讓廣告主能按照自身的產品屬性與預算資源,來制定數位廣告策略與選擇數位廣告平台。
    本研究假設廣告關聯性、產品需求程度、以及產品涉入程度,是影響受眾點擊數位廣告與否之決策的三項重要因子。延續此邏輯架構,透過檢視數位廣告發展的沿革,了解評估數位廣告成效的指標,進而討論不同數位廣告平台的特色為何,平台又是如何透過演算法來提升廣告點擊率,以達到廣告主、受眾、平台三贏的局面.
    最後總結出影響廣告主制定數位廣告策略的五大關鍵因素:受眾篩選、廣告點擊意願、線上即時競價、數位廣告平台、廣告成效評估。希冀本研究能讓廣告主掌握數位廣告成功之道,在適當的時機選擇適當的數位平台,達到精準控管廣告成本,銷售長紅的廣告終極目標。
    In recent years, the role of traditional advertising as a marketing communication tool has been replaced by digital advertising. Therefore, many academic researches have focused on the effectiveness and mechanism of digital advertising. However, it seldomly discussed it from the perspective of advertisers, including the degree of product involvement and product marketing budget, whether it affects the compatibility with digital advertising platforms. Therefore advertisers can formulate digital advertising strategies and choose digital advertising platforms according to their product attributes and budget resources.
    By reviewing the evolution of digital advertising, understanding the effectiveness indicators of digital advertising, discussing the characteristics of different digital advertising platforms, including methods the platform match the advertising and audience properly, this research assumes the audience`s behavior of click on digital ads are affected by advertising relevance, product demand, and product involvement. Five key factors (5P) that affect digital advertising strategies are summarized in the end : people, participation, price, platform, and performance.
    Reference: 叢書期刊
    Agarwal A, Hosanagar K, Smith MD (2011). “Location, Location, Location: An Analysis of Profitability of Position in Online Advertising Markets, Journal of Marketing Research.48(6): pp. 1057-1073.

    Briggs, R. and N. Hollis (1997). "Advertising on the web: Is there response before click-through?" Journal of Advertising research 37(2): pp.33-46.

    Edelman, B., et al. (2007). "Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords." American Economic Review 97(1):pp.242-259.

    F Xue and P Zhou (2011). “The effects of product involvement and prior experience on chinese consumers’ responses to online word of mouth” Journal of International Consumer Marketing 23:1 pp.45-58

    Howard, J. A. and J. N. Sheth (1969). The theory of buyer behavior. Journal of the American Statistical Association pp.82-83

    Laurent, G. and J. N. Kapferer (1985). "Measuring consumer involvement profiles." Journal of marketing research 22(1):pp. 41-53.

    Nadia Pomirleanu, John . Schibrowsky, James Peltier, Alexander Nill(2013) ”A review of internet marketing research over the past 20 years and future research direction” Journal of Research in Interactive Marketing 7(3), pp. 166-181

    Petty, R. E. and J. T. Cacioppo (1981). "Issue involvement as a moderator of the effects on attitude of advertising content and context." Advances in Consumer Research Volume 08 (1) pp. 20-24

    Pomirleanu, N., Schibrowsky, J.A., Peltier, J. and Nill, A. (2013). "A review of internet marketing research over the past 20 years and future research direction", Journal of Research in Interactive Marketing, Volume 7 No. 3, pp. 166-181

    Sebastian Klapdor, Eva M. Anderl, Florian von Wangenheim, Jan H. Schumann (2014). “Finding the Right Words: The Influence of Keyword Characteristics on Performance of Paid Search Campaigns” Journal of Interactive Marketing, Volume 28, (4), pp. 285-301

    Sungchul Kim, Tao Qin, Tie-Yan Liu, Hwanjo Yu (2014). “Advertiser-centric approach to understand user click behavior in sponsored search” Information Sciences, Volume 276, pp. 242-254

    Varian, H. R. and C. Harris (2014). "The VCG auction in theory and practice." American Economic Review 104(5): pp. 442-445.

    Y Steinhart and D Mazursky (2010). “Purchase availability and involvement antecedents among financial products” International Journal of Bank Marketing Volume (28) No. 2, 2010: 127

    Yong Yuan, Fei-Yue Wang, Daniel Zeng (2016). “Developing a cooperative bidding framework for sponsored search markets – An evolutionary perspective”Information Sciences, Volume 369, pp.674-689,

    近藤史人 (2009). "AISAS マーケティング・プロセスのモデル化." JSD 学会誌システムダイナミックス(8): pp. 95-102.

    網際網路
    Bullas, J. (2011). "11 Social Media Marketing Lessons from the Old Spice Campaign."

    DMA台灣數位媒體行銷暨應用協會 (2020)。 台灣數位廣告量統計報告

    Duffett, R.G. (2015). "Facebook advertising’s influence on intention-to-purchase and purchase amongst Millennials", Internet Research, Vol. 25 (4), pp. 498-526.

    Google (2016). "McDonald’s uses YouTube to deliver both short-term sales and long-term brand affection."

    Google (2017). Video Mobile Diary.

    Google (2017). "Vogon 開創客製化廣告影片新時代."

    Google (2018). "Google Brand Lift Targeting Analysis》(Google 品牌提升指定目標分析)."

    Jacques, Jason T., Perry, Mark, Kristensson, Per Ola. (2015). Differentiation of online text-based advertising and the effect on users’ click behavior. Comput. Hum. Behav. 50, 535–543.

    Kono, S. (2009). From the marketers` perspective: The interactive media situation in Japan. Television goes digital, Springer: 57-59.

    Lucier, B., et al. (2012). On revenue in the generalized second price auction. Proceedings of the 21st international conference on World Web.

    Marketingcharts (2019). "US Online and Traditional Media Advertising Outlook, 2019-2023."

    Rosenkrans, Ginger (2009). The creativeness and effectiveness of online interactive rich media advertising. J. Interactive Advertising 9 (2), 18–31

    Saad, L. (2017). "Americans Still Favor Real Estate for Long-Term Investment."

    Sebastian Klapdor, Eva M. Anderl, Florian von Wangenheim, Jan H. Schumann.(2014)“Finding the Right Words: The Influence of Keyword Characteristics on Performance of Paid Search Campaigns, Journal of Interactive Marketing, Volume 28, (4).

    Stastista (2020). "Worldwide desktop market share of leading search engines from January 2010 to July 2020."

    Weinan, Yuan, Shuai, Wang, Jun (2014). Optimal Real-Time Bidding for Display AdvertisingKDD’14, August 24–27, New York, NY, USA

    WordStream (2020). "Google Ad Benchmarks for Your Industry [2019]."

    WordStream (2020). "Facebook Ad Benchmarks for Your Industry [Data]."

    亜理沙, 高. (2017). "「広告宣伝費」が多いトップ300社ランキング."

    台北數位集團 台北數位指數 (2020)

    學術論文
    Holkeri, M. (2018). "Strategies of closed online advertising platforms—cases Google and Facebook."

    Leo-Hansen, A. (2020). "How is the VCG mechanism profiting Facebook?".

    Zaichkowsky, J. L. (1985). "Familiarity: product use, involvement or expertise?" ACR North American Advances.

    書籍
    Kotler, P. and G. Armstrong (2010). Principles of marketing, Pearson education.

    Schiffman, L. G. and L. L. Kanuk (2000). Consumer Behavior, Prentice Hall.
    Description: 碩士
    國立政治大學
    經營管理碩士學程(EMBA)
    108932083
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0108932083
    Data Type: thesis
    DOI: 10.6814/NCCU202100085
    Appears in Collections:[經營管理碩士學程EMBA] 學位論文

    Files in This Item:

    File Description SizeFormat
    208301.pdf2324KbAdobe PDF2144View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback