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研究生: 張書瑞
Shu-Jui Chang
論文名稱: 動態產品廣告之應用與優化 -以 Facebook 為例
Application and Optimization of Dynamic Product Ads (DPA) on Facebook platform
指導教授: 欒斌
Pin Luarn
口試委員: 陳正綱
Cheng-Kang Chen
林鴻文
Hong-Wen Lin
學位類別: 碩士
Master
系所名稱: 管理學院 - 管理學院MBA
School of Management International (MBA)
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 41
中文關鍵詞: 數位廣告動態廣告產品目錄行銷漏斗程序化購買
外文關鍵詞: Digital Advertising, Dynamic Advertising, Product Catalog, Marketing Funnel, Programmatic Buying
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隨著近年數位行銷與電子商務的發展,數位廣告的應用也逐漸成為行銷產業之趨勢;而為因應快速變動的電商市場與消費行為模式,廣告主們勢必需要採取更敏捷且有效的策略來提升銷售表現。本研究針對近幾年逐漸興起的「動態產品廣告(DPA)」(以Facebook為例)作為研究目標,更嘗試透過產學領域的研究報告、理論和實際的執行案例來設計出Facebook DPA的方法論架構,並且透過行銷理論搭配案例的廣告數據來深入解析執行此廣告技術時的優化策略。

結果顯示本研究設計之方法論架構的確符合實際應用情境與流程,提供往後欲應用或研究此技術的人員有架構可依循。此外,透過行銷漏斗理論與實際執行案例得知,成功執行Facebook DPA的核心關鍵就在於「維持或加強網站上那些相當於行銷漏斗上層的流量」,才能最有效地提升銷售成效。


Due to the development of digital marketing and electronic commerce (EC) in recent years, digital advertising has become a tendency for the marketing industry. In order to face the ever-changing market and consumer behavior, all advertisers have no choice but to take a much more effective strategy to increase their turnover. This research focuses on how to apply and optimize an advertising technology called Dynamic Product Ads (DPA) on the Facebook platform; in short, there are two core values toward the research. First, try to establish a methodology of Facebook DPA through research, theories, and practical cases. Second, analyze the strategy for running Facebook DPA via marketing theory and the data of advertising campaigns.

The result indicates that the methodology designed by this research certainly matches how advertisers utilize Facebook DPA in actual situations, which allows the person who wants to study or make use of Facebook DPA can refer. In addition, the key to successfully execute Facebook DPA is managing to keep/raise the traffic (about the rather upper layer in the marketing funnel) on your website to increase your turnover.

壹、緒論 5 一、研究背景 5 二、研究動機 6 三、研究目的 7 貳、文獻探討 7 一、動態產品廣告(DPA) 7 二、顧客消費歷程 9 三、客製化的廣告內容 10 四、數位廣告成效指標 11 五、系統發展生命週期(SDLC) 12 參、研究方法 13 一、研究流程 13 二、模型應用 14 三、分析樣本 14 肆、研究結果 16 一、研擬廣告策略 16 二、確認前置作業 16 三、廣告建立 25 四、實驗案例 27 伍、結論與建議 31 一、研究結論 31 二、研究貢獻 32 三、研究限制 32 參考文獻 33 一、中文文獻 33 二、英文文獻 34

一、中文文獻
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二、英文文獻
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全文公開日期 2026/06/22 (國家圖書館:臺灣博碩士論文系統)
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