iPhone's Digital Marketplace: Characterizing the Big Spenders

F. Kooti, Mihajlo Grbovic, L. Aiello, Eric Bax, Kristina Lerman
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引用次数: 11

Abstract

With mobile shopping surging in popularity, people are spending ever more money on digital purchases through their mobile devices and phones. However, few large-scale studies of mobile shopping exist. In this paper we analyze a large data set consisting of more than 776M digital purchases made on Apple mobile devices that include songs, apps, and in-app purchases. We find that 61% of all the spending is on in-app purchases and that the top 1% of users are responsible for 59% of all the spending. These big spenders are more likely to be male and older, and less likely to be from the US. We study how they adopt and abandon individual app, and find that, after an initial phase of increased daily spending, users gradually lose interest: the delay between their purchases increases and the spending decreases with a sharp drop toward the end. Finally, we model the in-app purchasing behavior in multiple steps: 1) we model the time between purchases; 2) we train a classifier to predict whether the user will make a purchase from a new app or continue purchasing from the existing app; and 3) based on the outcome of the previous step, we attempt to predict the exact app, new or existing, from which the next purchase will come. The results yield new insights into spending habits in the mobile digital marketplace.
iPhone的数字市场:大消费者的特征
随着移动购物的流行,人们通过移动设备和手机在数字购物上花费的钱越来越多。然而,关于移动购物的大规模研究却很少。在本文中,我们分析了一个庞大的数据集,其中包括在苹果移动设备上进行的超过7.76亿次数字购买,包括歌曲、应用程序和应用内购买。我们发现61%的消费是在应用内部购买上,而前1%的用户贡献了59%的消费。这些出手阔绰的人更可能是年龄较大的男性,而不太可能来自美国。我们研究了他们如何采用和放弃单个应用程序,发现用户在初始阶段的日常支出增加后,逐渐失去兴趣:他们购买之间的延迟增加,支出减少,并在接近尾声时急剧下降。最后,我们通过多个步骤模拟应用内购买行为:1)模拟购买间隔时间;2)我们训练一个分类器来预测用户是会从一个新的应用中购买还是继续从现有的应用中购买;3)基于前一步的结果,我们尝试去预测下一个用户购买的应用,不管是新的还是现有的。研究结果让我们对移动数字市场的消费习惯有了新的认识。
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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