社交广告的社会影响:来自现场实验的证据

E. Bakshy, Dean Eckles, Rong Yan, Itamar Rosenn
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引用次数: 270

摘要

社交广告利用消费者的同伴信息,包括与品牌、产品、组织等的同伴关系,来定位广告并将其展示在语境中。这种方法可以提高广告效果,主要有两个原因:同伴关系反映了未被观察到的消费者特征,这些特征在社会网络中是相关的;在广告中加入社会线索(即同伴与品牌的联系)会通过社会影响过程影响反应。由于这些原因,当广告中出现多种社会信号时,当广告与强而不是弱关系的同伴联系在一起时,反应可能会增加。我们进行了两个非常大的现场实验,以广告点击和与广告实体形成联系的方式来衡量社交线索对消费者对广告反应的影响。在第一个实验中,我们随机分配了口碑广告中出现的社会线索的数量,并测量了反应是如何随着线索数量的增加而增加的。第二个实验检验了用最小的社交线索(例如,在浅灰色文本的广告下方显示同伴的关系)来增加传统广告单元的效果。平均而言,这个提示会显著提高广告效果。使用基于被试与其同伴之间交流总量的联系强度测量,我们表明这些影响效应对于强联系是最大的。我们的工作对广告优化、用户界面设计和社会科学研究中的核心问题具有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social influence in social advertising: evidence from field experiments
Social advertising uses information about consumers' peers, including peer affiliations with a brand, product, organization, etc., to target ads and contextualize their display. This approach can increase ad efficacy for two main reasons: peers' affiliations reflect unobserved consumer characteristics, which are correlated along the social network; and the inclusion of social cues (i.e., peers' association with a brand) alongside ads affect responses via social influence processes. For these reasons, responses may be increased when multiple social signals are presented with ads, and when ads are affiliated with peers who are strong, rather than weak, ties. We conduct two very large field experiments that identify the effect of social cues on consumer responses to ads, measured in terms of ad clicks and the formation of connections with the advertised entity. In the first experiment, we randomize the number of social cues present in word-of-mouth advertising, and measure how responses increase as a function of the number of cues. The second experiment examines the effect of augmenting traditional ad units with a minimal social cue (i.e., displaying a peer's affiliation below an ad in light grey text). On average, this cue causes significant increases in ad performance. Using a measurement of tie strength based on the total amount of communication between subjects and their peers, we show that these influence effects are greatest for strong ties. Our work has implications for ad optimization, user interface design, and central questions in social science research.
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