Measuring Profitability From the Use of Personal Data for Targeted Ads

Aidan Jack Katsikas, V. Murugan
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Abstract

Companies like Facebook and Google track their users’ data to enhance their ads and offer highly targeted ad space. The question is then raised: how much more profitable does collecting data make companies and what is the future of these companies, as rising data privacy concerns are believed to result in the passage of future legislation? In order to isolate the effects of collecting data on profit, the revenue and revenue growth of Google and Facebook were compared to their competitors that do not collect data and revenue was adjusted to find the average per user. Google was compared to another search engine, DuckDuckGo, and Facebook was compared to a social media site, Yubo. Our analysis found that both Google and Facebook earned significantly larger amounts of revenue, per user, than their competitors who do not collect data. However, DuckDuckGo and Yubo both experienced considerably larger revenue growth this past year, highlighting improved success among companies relying on different models for generating revenue. Our research and similar studies will become more important once legislation is passed, as companies may have to pay taxes or fees associated with acquiring users’ data.
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通过使用个人数据进行定向广告来衡量盈利能力
Facebook和谷歌等公司通过跟踪用户数据来增强广告效果,并提供高度针对性的广告空间。接下来的问题是:收集数据能让公司多赚多少钱?随着人们对数据隐私的担忧日益加剧,这些公司的未来将如何?据信,这些担忧将导致未来立法的通过。为了分离收集数据对利润的影响,将Google和Facebook的收入和收入增长与其不收集数据的竞争对手进行比较,并调整收入以找到每个用户的平均值。谷歌被比作另一个搜索引擎DuckDuckGo, Facebook被比作社交媒体网站Yubo。我们的分析发现,与不收集数据的竞争对手相比,谷歌和Facebook的人均收入都要高得多。然而,DuckDuckGo和Yubo在过去的一年里都经历了相当大的收入增长,这表明依靠不同模式创造收入的公司取得了更大的成功。一旦立法通过,我们的研究和类似的研究将变得更加重要,因为公司可能需要支付与获取用户数据相关的税收或费用。
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