Investigating the factors that contributes most to the virality of a social media video advertisement

Vaishali Agarwal, Vastav Tyagi, S. Shivangi
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Abstract

YouTube has emerged as a very popular advertising medium in the past few years. Many marketers use this platform as a launch pad for their branding campaign. However, success is not always guaranteed with some advertisements gaining major traction whilst others’ effectiveness becomes questionable with poor traction. Thus, we are aware that social transmission is frequent and important but researchers are not yet clear about why certain content is more viral than others (Berger and Milkman 2011). In this research, we attempt to sift out the factors that contribute most to the ‘virality’ of any advertisement. We define virality as the average of likes, comments, dislikes, shares and hits for the advertisement. Our research builds up further on other research such as Berger and Milkman (2011) and Godes and Mayzlin (2009) within the Indian context by initially identifying 18 themes that were most commonly found in the advertisements here. The sample for identifying the themes was obtained from Youtube and was marked by 20 respondents on a scale of 1 to 7 based upon the degree of presence of the themes identified. Regression, factor analysis and a confirmatory factor analysis were conducted to finally arrive at a list of 7 factors. Though the adjusted R-square value was on the lower side as is the case in most such studies, our exploratory research is one of the first few such studies conducted within the Indian context and adds to our knowledge on virality in online advertising.
调查对社交媒体视频广告的病毒式传播贡献最大的因素
在过去的几年里,YouTube已经成为一个非常受欢迎的广告媒体。许多营销人员使用这个平台作为他们品牌宣传活动的启动平台。然而,成功并不总是有保证的,一些广告获得了很大的牵引力,而另一些广告的有效性则因牵引力差而受到质疑。因此,我们意识到社会传播是频繁和重要的,但研究人员还不清楚为什么某些内容比其他内容更具病毒性(Berger和Milkman 2011)。在这项研究中,我们试图筛选出对任何广告的“病毒式传播”贡献最大的因素。我们将病毒式传播定义为喜欢、评论、不喜欢、分享和广告点击的平均值。我们的研究进一步建立在其他研究的基础上,如Berger和Milkman(2011)和Godes和Mayzlin(2009)在印度的背景下,初步确定了18个最常见的广告主题。识别主题的样本是从Youtube上获得的,并由20名受访者根据所识别主题的存在程度以1到7的等级进行标记。通过回归分析、因子分析和验证性因子分析,最终得到7个因子列表。虽然调整后的r平方值与大多数此类研究一样处于较低的水平,但我们的探索性研究是在印度背景下进行的为数不多的此类研究之一,并增加了我们对在线广告病毒式传播的了解。
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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