THE DIGITAL ADVERTISING ECOSYSTEM – STATUS QUO, CHALLENGES AND TRENDS

Nerma Gusic Nerma Gusic, V. Stallone
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引用次数: 4

Abstract

Programmatic advertising comprises complex and dynamic processes that use algorithms to display advertising in an efficient and targeted manner. Since the introduction of real-time bidding in 2009, various authors have tried to describe and visualize a digital advertising ecosystem. These developed models differ in the number of elements, size, direction, shapes and colors. Due to the different visualizations, it is necessary to develop a standardised model that includes all necessary elements of the digital advertising ecosystem. The authors Stallone and Klaas have developed such a standardised model of the digital adverting ecosystem in a previous paper. This paper focuses on the visualization of the digital advertising ecosystem and its acceptance and applicability as a standardised model in practice. By doing so, the authors were able to identify challenges and future trends of programmatic advertising. In a first step, the authors show all actors and technical elements of the ecosystem by means of literature research. In the empirical part of the work, the focus lied on qualitative expert interviews to find out whether all elements in the visualization are relevant and, if necessary, which adjustments the authors would have to do. The evaluation of the expert interviews showed that there have already been initial changes in the digital ecosystem and further adjustments will follow. As a result, a division into a short-term and a long-term ecosystem development made sense. According to experts, companies can apply the model in practice if the adaptions are incorporated. Moreover, the players in the industry agree when it comes to the challenges of programmatic advertising. The greatest challenges include in particular the lack of expertise, the lack of transparency and lack of brand safety. The standardised model is a significant approach to providing an overview and understanding of this highly complex and dynamic ecosystem in both literature and practice.
数字广告生态系统——现状、挑战与趋势
程序化广告包括复杂和动态的过程,它使用算法以有效和有针对性的方式显示广告。自2009年引入实时竞价以来,许多作者都试图描述和可视化数字广告生态系统。这些已开发的模型在元素的数量、大小、方向、形状和颜色上各不相同。由于不同的可视化,有必要开发一个标准化的模型,包括数字广告生态系统的所有必要元素。史泰龙和克拉斯在之前的一篇论文中开发了这样一个数字广告生态系统的标准化模型。本文主要研究数字广告生态系统的可视化及其作为一种标准化模型在实践中的接受度和适用性。通过这样做,作者能够确定程序化广告的挑战和未来趋势。第一步,作者通过文献研究的方式展示了生态系统的所有行为者和技术要素。在实证部分的工作,重点在于定性的专家访谈,以找出是否所有元素的可视化是相关的,如果有必要,哪些调整作者将不得不做。对专家访谈的评估表明,数字生态系统已经出现了初步变化,进一步的调整将随之而来。因此,将生态系统发展分为短期和长期是有意义的。据专家介绍,企业可以在实践中应用该模型,如果适应纳入。此外,当涉及到程序化广告的挑战时,行业内的参与者都同意。最大的挑战尤其包括缺乏专业知识、缺乏透明度和缺乏品牌安全。标准化模型是在文献和实践中提供对这一高度复杂和动态生态系统的概述和理解的重要方法。
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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