Programmatic Advertising and Online Publishers: The Case of Libertatea.Ro

IF 0.7 Q3 ECONOMICS Studies in Business and Economics Pub Date : 2024-01-11 DOI:10.2478/sbe-2023-0060
Andrei Ungureanu, Lucian Belaşcu, Alexandra Horobeț, Marius Croitoru Ionuț
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Abstract

Programmatic advertising rose in the early 2000s, aiming at streamlining the online media buying process. It offered marketers the means to buy millions of advertising impressions instantly and helped publishers increase their revenues. The deployment of automated algorithms for media trading led to a significant decrease in campaign setup and management costs and created a new revenue stream for online publishers. However, by the late 2010s, the emergence of ever more complex algorithms and the opaque practices of the Advertising Technology (AdTech) companies in charge of them have led to complaints that programmatic advertising functions largely as a “black box”. This article inquires into the programmatic media trading process, with a focus on the impact of the algorithms’ increased sophistication on the monetization strategies of online publishers. We analyze the case of Libertatea.ro, a leading Romanian newspaper, in its attempt to offset the decrease of revenue from printed circulation by increasing revenues generated through its online website. The findings show that publishers are forced to apply increasingly complex website monetization strategies. This can, in turn, lead to a loss of control over their advertising inventory and decreased bargaining power when facing AdTech companies, thus threatening the economic models of online publishing.
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程序化广告与网络出版商:Libertatea.Ro 案例
程序化广告兴起于 2000 年代初,旨在简化在线媒体购买流程。它为营销人员提供了即时购买数百万广告印象的手段,并帮助出版商增加收入。媒体交易自动化算法的应用大大降低了营销活动的设置和管理成本,并为在线出版商创造了新的收入来源。然而,到了 2010 年代后期,越来越复杂的算法和负责算法的广告技术(AdTech)公司不透明的做法导致人们抱怨程序化广告在很大程度上是一个 "黑盒子"。本文对程序化媒体交易过程进行了探究,重点关注算法日益复杂化对网络出版商货币化战略的影响。我们分析了罗马尼亚主要报纸 Libertatea.ro 的案例,该报试图通过增加在线网站的收入来抵消印刷发行收入的减少。研究结果表明,出版商不得不采用日益复杂的网站货币化战略。这反过来又会导致出版商失去对广告库存的控制,在面对广告技术公司时失去讨价还价的能力,从而威胁到在线出版的经济模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.30
自引率
16.70%
发文量
20
审稿时长
30 weeks
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