Daily deals sites such as Groupon offer deeply discounted goods and services to tens of millions of customers through geographically targeted daily e-mail marketing campaigns. In our prior work we observed that a negative side effect for merchants using Groupons is that, on average, their Yelp ratings decline significantly. However, this previous work was essentially observational, rather than explanatory. In this work, we rigorously consider and evaluate various hypotheses about underlying consumer and merchant behavior in order to understand this phenomenon, which we dub the Groupon effect. We use statistical analysis and mathematical modeling, leveraging a dataset we collected spanning tens of thousands of daily deals and over 7 million Yelp reviews. In particular, we investigate hypotheses such as whether Groupon subscribers are more critical than their peers, or whether some fraction of Groupon merchants provide significantly worse service to customers using Groupons. We suggest an additional novel hypothesis: reviews from Groupon subscribers are lower on average because such reviews correspond to real, unbiased customers, while the body of reviews on Yelp contain some fraction of reviews from biased or even potentially fake sources. Although we focus on a specific question, our work provides broad insights into both consumer and merchant behavior within the daily deals marketplace.
翻译:Groupon等日常交易网站通过针对地理目标的日常电子邮件营销运动向数千万客户提供极低的货物和服务。在以往的工作中,我们注意到,对使用Groupons的商人的负面副作用是,平均而言,其Yelp评级显著下降。然而,以前的工作基本上是观察性的,而不是解释性的。在这项工作中,我们严格考虑和评价关于基本消费者和商人行为的各种假设,以了解这一现象,我们将Groupon效应归为集团影响。我们使用统计分析和数学模型,利用我们收集的覆盖成千上万日常交易和700多万份Yelp评论的数据集。特别是,我们调查的假设,例如Groupon用户是否比其同行更关键,或者Groupon商人是否向使用Groupons的客户提供更差的服务。我们提出另一个新的假设:Groupon用户的审查平均较低,因为这类审查与真实的、公正的客户相对,而Yelp的审查机构则含有来自偏见或甚至潜在的虚假来源的一些审查。我们集中研究一个具体问题,但我们的工作对消费者和商人的日常交易提供了广泛的见解。